disagreement
Model 1 includes all five predictor variables. Model 2 excludes the two that showed no significant effects in Model 1. Numbers in brackets are adjusted R 2 s.
As in Study 1, we again observe that the providers and recipients of feedback formed very different impressions about past performance. A new and important finding in this study is that feedback conversations did not merely fail to diminish provider-recipient disagreements about what led to strong and weak performance; they actually turned minor disagreements into major ones. Recipients made more self-enhancing and self-protective attributions following the performance discussion, believing more strongly than before that their successes were caused by internal factors (their ability, personality, effort, and attention) and their failures were caused by external factors (job responsibilities, employer expectations, resources provided, and bad luck). There were also modest disagreements regarding the quality and importance of different aspects of the recipient’s job performance, but these did not worsen following discussion. The most important source of disagreement between providers and recipients then, especially following the feedback conversation, was not about what happened, but about why it happened.
What led recipients of performance feedback to accept it as legitimate and helpful? The best predictor of feedback effectiveness was the extent to which the discussion was perceived as future focused. Unsurprisingly, feedback was also easier to accept when it was more favorable. As predicted, recipients were more likely to accept feedback when they and the feedback providers agreed more about what caused the past events. Greater attribution agreement, however, did not increase recipients’ intention to change. These findings suggest that reaching agreement on the causes of past performance is neither likely to happen (because feedback discussions widen causal attribution disagreement) nor is it necessary for fostering change. What does matter is the extent to which the feedback conversation focuses on generating new ideas for future success. We further explore the relations among all these variables following the reporting of Study 3.
Performance feedback serves goals other than improving performance. For example, performance reviews often serve as an opportunity for the feedback provider to justify promotion and compensation decisions. For the recipient, the conversation may provide an opportunity for image management and the chance to influence employment decisions. People may fail to distinguish between evaluation and improvement goals when providing and receiving feedback. In Study 2, the instructions were intended to be explicit in directing participants to the developmental goal of performance improvement, rather than accountability or rewards. Nevertheless, the providers’ wish to justify their evaluations and the recipients’ wish to influence them might have contributed to the differences we observed in attributions and in judgments about the feedback’s legitimacy. To address this concern, we added a page of detailed company guidelines that emphasized the primacy of the performance-improvement goal over the goals of expressing, justifying, or influencing evaluations. There were two versions of these guidelines, which did not differ in their effects.
Participants were 162 executives and MBA students enrolled in advanced Human Resources classes in Australia. An international mix of businesspeople, 74% said they grew up in Australia or New Zealand, 10% in Europe, 22% in Asia, and 7% other. (Totals sum to more than 100% because some participants indicated more than one.) Participants averaged 39 years of age, ranging from 27 to 60. Females comprised 37% of the participants.
Participants read the same scenario and instructions as in Study 2, with an added page of guidelines for giving developmental feedback ( S8 Text ). They then completed the same post-discussion questionnaires used for the pre-post group of Study 2, minus the ratings of performance quality and importance for various aspects of the job, which showed no effects in Study 2. (The full text of the questionnaires is provided in S9 and S10 Texts). Taken together, these modifications kept the procedure to about the same length as in Study 2. This study was approved by the Institutional Review Board at the University of Melbourne. Written consent was obtained.
As in Study 2, we calculated the sum of the percentages of attributions assigned to internal causes (ability and personality + effort and attention), applying an arcsine transformation. As before, we analyzed the internal attributions measure with a mixed-model ANOVA treating each dyad as a unit. There were two within-dyads variables: role (provider or recipient), and outcomes (successes or failures) and one between-dyads variable (guideline version ). There were no effects involving guideline version (all F < 1). The main effects of role ( F (1, 79) = 50.12, p < .001, η 2 = .39) and outcomes ( F (1, 79) = 113.8, p < .001, η 2 = .59) and the interaction between them ( F (1, 79) = 86.34, p < .001, η 2 = .52) are displayed in Fig 3 , along with the parallel post-feedback results from the previous two studies. As in Study 2, the two parties’ post-discussion attributions were well apart on both successes and, especially, failures ( t (80) = 3.3 and 9.4 respectively, both p ≤ .001). Again, the correlations between the provider’s and the recipient’s post-conversation performance attributions across dyads were not significant for either successes ( r (79) = -.04, p > .69) or failures ( r (79) = -.13, p > .23) suggesting that conversation does not lead the dyad to a common understanding of what led to good or poor performance.
Results are shown by role (provider vs. recipient of feedback) and valence/outcomes (positive feedback for successes vs. negative feedback for failures), following feedback conversation. Error bars show standard errors.
We conducted regression analyses of the recipient’s feedback acceptance and intention to change as in Study 2. The regression models included three predictors: future focus, attribution disagreement, and feedback favorability. Results, shown in Table 4 , replicated our Study 2 finding that future focus is the best predictor of both feedback acceptance and intention to change. As before, attribution disagreement predicted lower acceptance, but in this study it also predicted less intention to change. We again found that feedback favorability ratings were associated with greater acceptance, but this time, not with intention to change. Recipients and providers were again significantly correlated in their judgments of how future focused the conversation was ( r (79) = .299, p = .007).
Feedback Acceptance [.373] | Intention to Change [.323] | |||||
---|---|---|---|---|---|---|
Beta | (77) | Beta | (77) | |||
Future focus | .411 | 4.432 | < .001 | .549 | 5.697 | .001 |
Attribution disagreement | -.193 | -2.131 | .036 | -.198 | -2.105 | .039 |
Favorability | .284 | 3.017 | .003 | -.050 | -.516 | .607 |
Numbers in brackets are adjusted R 2 s.
Future focus, as perceived by the recipients of feedback, was once again the strongest predictor of their acceptance of the feedback and the strongest predictor of their intention to change. Conversely, attribution disagreement between the provider and recipient of feedback was associated with lower feedback acceptance and weaker intention to change. As in Studies 1 and 2, recipients made more internal attributions for successes than providers did and, especially, more external attributions for failures. The added guidelines in this study emphasizing performance-improvement goals over evaluative ones did not alleviate provider-recipient attribution differences. Indeed, those differences were considerably larger in this study than in the previous one and were more similar to those seen in Study 1 (see Fig 3 ).
The strongest predictor of feedback effectiveness is the recipient’s perception that the feedback conversation focused on plans for the future rather than analysis of the past. We seek here to elucidate the relationship between future focus and feedback effectiveness by looking at the interrelations among the three predictors of effectiveness we studied: future focus, attribution disagreement, and feedback favorability.
The analyses that follow include data from all participants who were asked for ratings of future focus, namely those in Study 3 and in the pre-post group of Study 2. We included study as a variable in our analyses; no effects involving the study variable were significant. Nonetheless, because the two studies drew from different samples and used slightly different methods, inferential statistics could be impacted by intraclass correlation within each study. Therefore, we also tested for study-specific differences in parameter estimates using hierarchical linear modeling [ 58 , 59 ]. No significant differences between studies emerged, confirming the appropriateness of combining the data. (The HLM results are provided in S2 Analyses .)
The association between future focus and feedback effectiveness could be mediated by the effects of attribution disagreement and/or feedback favorability. Specifically, it could be that perceiving the conversation as more future focused is associated with closer agreement on attributions or with perceiving the feedback as more favorable, and one or both of those latter two effects leads to improved feedback effectiveness. Tests of mediation, following the methods of Kenny and colleagues [ 60 ], suggest otherwise (see Fig 4 ). These analyses partition the total associations of future focus with feedback acceptance and with intention to change into direct effects and indirect effects. Indirect effects via reduced attribution disagreement were 6.2% of the relation of future focus to feedback acceptance and 2.2% to intention to change. Indirect effects via improved perceptions of feedback favorability were 20.8% of the relation of future focus to feedback acceptance and 4.5% to intention to change. Thus, there is little to suggest that closer agreement on attributions or improved perceptions of feedback favorability account for the benefits of future focus on feedback effectiveness.
The two feedback effectiveness measures are feedback acceptance and intention to change. Following Kenny (2018), standardized regression coefficients are shown for the relations between future focus and two hypothesized mediators, attribution disagreement and feedback favorability ( a ), the mediators and the feedback effectiveness measures controlling for future focus ( b ), future focus and the effectiveness measures ( c ), and future focus and the effectiveness measures controlling for the mediator ( c′ ). The total effect ( c ) equals the direct effect ( c′ ) plus the indirect effect ( a · b ). Data are from Studies 2 and 3. a p = .072; * p = .028; ** p < .001.
Future focus might have synergistic or moderating effects. In particular, we hypothesized that perceiving the conversation as more future focused may moderate the negative impact of attribution disagreement on feedback effectiveness. Alternatively, future focus may be especially beneficial when agreement about attributions is good, or when attribution differences are neither so big that they cannot be put aside, nor so small that the parties see eye to eye even when they focus on the past. Similarly, future focus may be especially beneficial when feedback is most unfavorable to the recipient, or when it’s most favorable, or when it is neither so negative that the recipients can’t move past it, nor so positive that the recipients accept it even when the conversation focuses on the past.
We conducted regression analyses with feedback acceptance and intention to change as dependent variables and future focus, feedback favorability, attribution disagreement, and their first-order interactions as predictors. Because some plausible interactions are nonlinear, we defined low, intermediate, and high values for each of the three predictor variables, dividing the 198 participants as evenly as possible for each. We then partitioned each predictor into linear and quadratic components with one degree of freedom each. With linear and quadratic components of three predictors plus a binary variable for Study 2 vs. Study 3, there were seven potential linear effects and 18 possible two-way interactions. We used a stepwise procedure to select which interactions to include in our regressions, using an inclusion parameter of p < .15. Results are shown in Table 5 .
Feedback acceptance | Intention to change | |||||
---|---|---|---|---|---|---|
Future focus—Linear | 0.487 | 5.09 | < .001 | 0.639 | 11.51 | < .001 |
Future focus—Quadratic | 0.024 | 0.40 | .687 | -0.068 | -1.27 | .206 |
Feedback favorability—Linear | 0.268 | 4.36 | < .001 | 0.096 | 1.74 | .083 |
Feedback favorability—Quadratic | -0.067 | -1.12 | .265 | -0.029 | -0.55 | .584 |
Attribution disagreement—Linear | -0.226 | -3.57 | .001 | -0.148 | -2.60 | .010 |
Attribution disagreement—Quadratic | -0.094 | -1.62 | .108 | -0.088 | -1.69 | .093 |
Study 2 vs. 3 | 0.073 | 1.13 | .259 | -0.078 | -1.34 | .182 |
Future focus—Linear x Feedback favorability—Linear | -0.119 | -1.91 | .057 | -0.116 | -2.09 | .038 |
Future focus—Linear x Attribution disagreement—Linear | -0.095 | -1.83 | .070 | |||
Future focus—Linear x Study | -0.136 | -1.46 | .145 | |||
Feedback favorability–Quadratic x Attribution disagreement–Quadratic | 0.084 | 1.60 | .112 |
Models include all main effects and those first-order interactions that met an entry criterion of p < .15, plus data source (Study 2 vs. Study 3). Statistically significant values are underlined.
Future focus interacted with feedback favorability—marginally for feedback acceptance and significantly for intention to change. As shown in Fig 5 , recipients who gave low or intermediate ratings for future focus accepted the feedback less when it was most negative ( t (128) = 5.21, p < .001) and similarly, reported less inclination to change ( t (128) = 3.23, p = .002). In contrast, the recipients who rated the feedback discussion as most future focused accepted their feedback and indicated high intention to change at all levels of feedback favorability. These patterns suggest that perceiving future focus moderates the deleterious effect of negative feedback on feedback effectiveness.
Results for each measure of feedback effectiveness are shown by three levels of perceived future focus and three levels of perceived feedback favorability. Error bars show standard errors. Data are from Studies 2 and 3.
On the other hand, we find no evidence that future focus moderates the negative effect of attribution disagreement on feedback effectiveness. Future focus did interact marginally with attribution disagreement for intention to change. However, the benefits of perceiving high vs. low future focus may, in fact, be stronger when there is closer agreement about attributions: The increase in intention to change between low and high future focus groups was 2.30 with high disagreement, 2.37 with intermediate disagreement, and 3.24 in dyads with low disagreement, on a scale from 1 to 7.
Regression-tree analyses can provide additional insights into the non-linear relations among variables [ 61 ], with a better visualization of the best and worst conditions to facilitate feedback acceptance and intention to change. These analyses use the predictors (here, future focus, attribution disagreement, and feedback favorability) to divide participants into subgroups empirically, maximizing the extent to which values on the dependent measure are homogeneous within subgroups and different between them. We generated regression trees for each of our two effectiveness measures, feedback acceptance and intention to change. Fig 6 shows the results, including all subgroups (nodes) with N = 10 or more.
The trees depict the effects of future focus, attribution disagreement, and feedback favorability on our two measures of feedback effectiveness. The width of branches is proportional to the number of participants in that branch. Node 0 is the full sample of 198. Values on the X axis are standardized values for each dependent measure. Data are from Studies 2 and 3.
Both trees show that future focus is the most important variable, dividing into lower and higher branches at Nodes 1 and 2, and further distinguishing highest-future groups at Nodes A8 and B6. These representations also reinforce the conclusion that perceived future focus does not operate mainly via an association with more positive feedback or with better agreement on attributions. However, attribution disagreement does play a role, with more agreement leading to better acceptance of feedback and greater intention to change, as long as future focus is at least moderately high (Nodes A3 vs. A4 and B7 vs. B8). (The lack of effect at Node B6 is likely a ceiling effect.) Unfavorable feedback makes matters worse under adverse conditions: when future focus is low (Nodes B3 vs. B4) or when future focus is moderate but attribution disagreement is large (nodes A5 vs. A6).
Our research was motivated by a need to understand why performance feedback conversations do not benefit performance to the extent intended and what might be done to improve that situation. We investigated how providers and recipients of workplace feedback differ in their judgements about the causes of performance and the credibility of feedback, and how feedback discussions impact provider-recipient (dis)agreement and feedback effectiveness. We were particularly interested in how interpretations of past performance, feedback acceptance, and intention to change are affected by the recipient’s perception of temporal focus, that is, the extent to which the feedback discussion focuses on past versus future behavior.
Management theorists typically advocate evaluating performance relative to established goals and standards, diagnosing the causes of substandard performance, and providing feedback so that people can learn from the past [ 19 ]. They also posit that feedback recipients must recognize there is a problem, accept the feedback as accurate, and find the feedback providers fair and credible in order for performance feedback to motivate improvement [ 7 , 14 , 35 ]. Unfortunately, we know that performance feedback often does not motivate improvement [ 4 ]. Our research contributes in several ways to understanding why that is and how feedback conversations might be made more effective.
Decades of attribution theory and research have elucidated the biases thought to produce discrepant explanations for performance between the providers and recipients of feedback. We show that for negative feedback, these discrepancies are prevalent in the workplace. We also show that larger attribution discrepancies are associated with greater rejection of feedback and, in our performance review simulations, with weaker intention to change. These findings support recent research and theory linking performance feedback, work-related decision making, and attribution theory: Instead of changing behavior in response to mixed or negative feedback, people make self-enhancing and self-protecting attributions and judgements they can use to justify not changing [ 8 , 14 , 62 ].
Our research suggests that the common practice of discussing the employees’ past performance, with an emphasis on how and why outcomes occurred and what that implies about the employees’ strengths and weaknesses, can be counterproductive. Although the parties to a feedback discussion may agree reasonably well about which goals and standards were met or unmet, they are unlikely to converge on an understanding of the causes of unmet goals and standards, even with engaged give and take. Instead, the feedback conversation creates or exacerbates disagreement about the causes of performance outcomes, leading feedback recipients to take more credit for their successes and less responsibility for their failures. This suggests that feedback conversations that attempt to diagnose past performance act as another form of self-threat that increases the self-serving bias [ 33 ]. Surely this runs counter to what the feedback provider intended.
At the same time, we find that self-serving attributions need not stand in the way of feedback acceptance and motivation to improve. A key discovery in our research is that the more recipients feel the feedback focuses on next steps and future actions, the more they accept the feedback and the more they intend to act on it. In fact, when feedback is perceived to be highly future focused, feedback recipients respond as well to predominantly negative feedback as to predominantly positive feedback. Future focus does not nullify self-serving attributions and their detrimental effects [see also 63 ], but it does enable productive feedback discussions despite them.
We used two complementary research methods. Study 1 used a more naturalistic and thus more ecologically valid method, collecting retrospective self-reports from hundreds of managers about actual feedback interactions in a wide variety of work situations [see 64 ]. Studies 2 and 3 used a role-play method that allowed us to give all participants identical workplace performance information, a good portion of which was undisputed and quantitative. With that design, response differences between the providers and recipients of feedback are due entirely to role, unconfounded by differences in knowledge and experience.
What role plays cannot establish is the magnitude of effects in organizational settings. Attribution misalignment and resistance to feedback might easily be much stronger in real workplace performance reviews where it would be rare for the parties to arrive with identical, largely unambiguous information. Moreover, managers’ investment in the monetary and career outcomes of performance reviews might lead feedback recipients to feel more threatened than in a role play and thus to disagree even more with unfavorable feedback. On the other hand, the desire to maintain employment and/or to maintain good relationships with supervisors might motivate managers to re-assess their past achievements, to change their private attributions, and to be more accepting of unfavorable feedback. Data from our role-play studies may not speak to the magnitude of resistance to feedback in work settings (although our survey results suggest it’s substantial), but they do show that feedback acceptance is increased when the participants perceive their feedback to be focused on the future.
There are few research topics more important to the study of organizations than performance management. Feedback conversations are a cornerstone of most individual and team performance management, yet there is still much we do not know about what should be said, how, and why. Based on research into the motivational advantages of prospective thinking, we hypothesized that feedback discussions perceived as future focused are the most effective kind for generating acceptance of feedback and fostering positive behavior change. Our findings support that hypothesis. The present research contributes to the literature on prospection by highlighting the role of interpersonal interactions in facilitating prefactual thinking and any associated advantages for goal pursuit [ 39 , 43 – 45 , 63 , 65 ]. In this section we suggest three lines of future research: (a) field studies and interventions; (b) research into the potential role of self-beliefs; and (c) exploration of the conversational dynamics associated with feedback perceived as past vs. future focused.
Testing feedback interventions in the workplace and other field settings is an important future step toward corroborating, elaborating, or correcting our findings. It will be necessary to develop effective means to foster a more future-focused style of feedback. Then, randomized controlled trials that contrast future-focused with diagnostic feedback can demonstrate the benefits that may accrue from focusing feedback more on future behavior and less on past behavior. Participant evaluations of the feedback discussions can be supplemented by those of neutral observers. Such evaluations are directly relevant to organizational goals, including employee motivation, positive supervisor-supervisee relations, and effective problem solving. Assessing subsequent behavior change and job performance is both important and complicated for evaluating feedback effectiveness: Seeing intentions through to fruition depends on many factors, including individual differences in self-regulation [ 66 , 67 ] and factors beyond people’s control, such as competing commitments, limited resources, and changing priorities [ 68 – 71 ]. Nevertheless, the ultimate proof of future-focused feedback will lie in performance improvement itself.
If future focus enhances feedback effectiveness, it may do so via self-beliefs. Growth mindset and self-efficacy, for example, are self-beliefs that influence how people think about and act on the future. Discussions that focus on what people can do in the future to improve performance may encourage people to view their own behavior as malleable and to view better results as achievable. If future focus helps people access this growth mindset, it should orient them toward mastering challenges and improving the self for the future: Whereas people exercise defensive self-esteem repair when in a fixed mindset, they prefer self-improvement when accessing a growth mindset [ 72 , 73 ]. Similarly, feedback conversations that focus on ways the feedback recipient can attain goals in the future may enhance people’s confidence in their ability to execute the appropriate strategies and necessary behaviors to succeed. Such self-efficacy expectancies have been shown to influence the goals people select, the effort and resources they devote, their persistence in the face of obstacles, and the motivation to get started [ 74 , 75 ]. Thus, research is needed to assess whether future focus alters people’s self-beliefs (or vice versa; see below) and if these, in turn, impact people’s acceptance of feedback and intention to change.
We found sizeable variation in the extent to which dyads reported focusing on the future. Pre-existing individual differences in self-beliefs may contribute to that variation. Recent research, for example, finds that professors with more growth mindsets have students who perform better and report being more motivated to do their best work [ 76 ]. In the case of a feedback conversation, we suspect that either party can initiate thinking prospectively, but both must participate in it to sustain the benefits.
Unlike most studies of people’s reactions to mixed or negative feedback, our studies use face-to-face, real-time interaction, that is to say, two people in conversation. Might conversational dynamics associated with future-focused feedback contribute to its being better accepted and more motivating than feedback focused on the past? Do managers who focus more on the future listen to other people’s ideas and perspectives in ways that are perceived as more empathic and nonjudgmental? Do these more prospective discussions elicit greater cooperative problem solving? Research on conversation in the workplace is in its early stages [ 77 ], but some studies support the idea that high quality listening and partner responsiveness might reduce defensiveness, increase self-awareness, or produce greater willingness to consider new perspectives and ideas [ 78 , 79 ].
Our studies provide the first empirical evidence that managers can make feedback more effective by focusing it on the future. Future-focused feedback, as we define it, is characterized by prospective thinking and by collaboration in generating ideas, planning, and problem-solving. We assessed the degree of future focus by asking participants to rate the extent to which the feedback discussion focused on future behavior, the two parties spent time generating new ideas for next steps, and the conversation centered on how to make the recipient successful. This differs greatly from feedback research that distinguishes past vs. future orientation “using minimal rewording of each critique comment” (e.g., you didn’t always demonstrate awareness of… vs. you should aim to demonstrate more awareness of…) [ 80 p. 1866].
Because future-focused feedback is feedback, it also differs from both advice giving and “feedforward” (although it might be advantageous to incorporate these): It differs from Kluger and Nir’s feedforward interview, which queries how the conditions that enabled a person’s positive work experiences might be replicated in the future [ 81 ], and from Goldsmith’s feedforward exercise, which involves requesting and receiving suggestions for the future, without discussion or feedback [ 82 ].
The scenario at the very start of this article asks, “What can Chris say to get through to Taylor?” A future-focused answer might include the following: Chris first clarifies that the purpose of the feedback is to improve Taylor’s future performance, with the goal of furthering Taylor’s career. Chris applauds Taylor’s successes and is forthright and specific about Taylor’s shortcomings, while avoiding discussion of causes and explanations. Chris signals belief that Taylor has the motivation and competence to improve [ 83 ]. Chris then initiates a discussion in which they work together to develop ideas for how Taylor can achieve better outcomes in the future. (For a more detailed illustration of a future-focused conversation, see S11 Text .)
Our research supports the intriguing possibility that the future of feedback could be more effective and less aversive than its past. Performance management need not be tied to unearthing the determinants of past performance and holding people to account for past failures. Rather, performance may be managed most successfully by collaborating with the feedback recipient to generate next steps, to develop opportunities for interesting and worthwhile endeavors, and to enlarge the vision of what the recipient could accomplish. Most organizations and most managers want their workers to perform well. Most workers wish to succeed at their jobs. Everyone benefits when feedback discussions develop new ideas and solutions and when the recipients of feedback are motivated to make changes based on those. A future-focused approach to feedback holds great promise for motivating future performance improvement.
S1 analyses, s2 analyses, acknowledgments.
For helpful comments on earlier drafts of this paper, we are grateful to Pino Audia, Angelo Denisi, Nick Epley, Ayelet Fishbach, Brian Gibbs, Reid Hastie, Chris Hsee, Remus Ilies, David Nussbaum, Jay Russo, Paul Schoemaker, William Swann, and Kathleen Vohs.
This research received funding from the Melbourne Business School while the first three authors were either visiting (JG, JK) or permanent (IOW) faculty there. While working on this research, the first two authors (JG, JK) also worked as owners and employees of management consulting firm Humanly Possible. Humanly Possible provided support in the form of salaries and profit-sharing compensation for authors JG and JK, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the “author contributions” section.
PONE-D-20-05644
The future of feedback: Motivating performance improvement
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Reviewer #1: 1. I enjoyed reading this manuscript, but it appears to be unnecessary long in parts and readability would benefit of a more concise style. I would recommend condensing some parts, for example in the methods section for study 2 was overly long and lacked clarity in parts. The description of the second questionnaire was a little confusing in terms of the consistency in how items were measured and the hypothesis was not clear.
2. In the ethics statement for Study 1 (line 184), please explain the rationale behind the waiver of consent.
3. Procedure (line 187) please give details of the survey platform used.
4. Results -Please include the number of participants in each group.
5. Please comment on what normality checks were performed to assess the distribution of the data.
6. Line 470, correlations are discussed but I can’t see a table to support these.
7. The discussion did not address the results in relation to previous literature and lacked a theoretical explanation of the findings (See for example ‘Korn CW, Rosenblau G, Rodriguez Buritica JM, Heekeren HR (2016) Performance Feedback Processing Is Positively Biased As Predicted by Attribution Theory. PLoS ONE 11(2)’ for a discussion of attributional style and self-serving bias. I recommend some rewrite of the discussion with more reference to theory.
8. Some acknowledgement of the effect of individual differences in self-regulation would be useful to include as this may influence how feedback is received in terms of attributions. See for example, ‘Donovan, JJ, Lorenzet, SJ, Dwight, SA, Schneider, D. The impact of goal progress and individual differences on self‐regulation in training. J Appl Soc Psychol. 2018; 48: 661– 674’.
9. The suggestions for improvement at the end of the study would be better to be condensed to give a brief suggestion of methods.
Reviewer #2: The paper reports an interesting and comprehensive work about a relevant issue in organizational psychology. Both the theoretical frame and the applied methodology are original and thorough, though the use of role-play raises some doubts about the robustness of the results (some concerns are raised by the authors themselves (lines 752-760) ). This is, in my opinion, the main limitation of studies 2 and 3. I would suggest that the authors insert a wider reasoning about the choice of using this method to collect their data and the pros and cons.
In the "General Discussion" paragraph the authors state that "We investigated the sources of agreement and disagreement between feedback provider and recipient" (lines 712-713). I strongly suggest that this sentence is being modified, since it doesn't describe the aim nor the results in Study 1 correctly.
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Reviewer #1: No
Reviewer #2: Yes: Federica Biassoni
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12 May 2020
Please see uploaded document Response to Reviewers. Text copied here.
Response to Reviewers
We wish to thank the reviewers for their very helpful and constructive comments. We especially appreciate the clarity and specificity with which they framed their suggestions. Below we respond to each reviewer recommendation.
Reviewer #1:
1. I enjoyed reading this manuscript, but it appears to be unnecessary long in parts and readability would benefit of a more concise style. I would recommend condensing some parts, for example in the methods section for study 2 was overly long and lacked clarity in parts. The description of the second questionnaire was a little confusing in terms of the consistency in how items were measured and the hypothesis was not clear.
We revised the methods section for Study 2 (former lines 274-279; 285-414, revision lines 276-281; 299-402). The new version is a full page shorter and, in line with the reviewer’s suggestion, we believe this more concise version is now more readable. It includes a revised description of the post-discussion questionnaires (former 346-367; revision 350-361), clarifying the sequence and types of questions provided to each group. It also includes revisions, mainly in the Design section (former 387-414; revision lines 377-402) to clarify how the various measures related to our hypotheses.
Study 1 was approved by the Institutional Review Board at the University of Chicago, which waived the requirement for written consent as was its customary policy for studies judged to be minimal risk, involving only individual, anonymized survey responses. Their decision cited US Code 45 CFR 46.101(b). Citing the code in our manuscript seemed overly legalistic, but we have added the rest of the rationale to the ethics statement (former lines 184-185; revision 184-186).
We now identify the platform as Cogix ViewsFlash (revision line 188).
We have added the requested information for Study 1 (revision lines 214-215). Following up on the suggestion, we also made it easier to locate the corresponding information for Study 2 (revision lines 316-317).
The general consensus is that the analyses we use, i.e. ANOVA and linear regression, are generally quite robust with regard to moderate violations of normality with Ns on the order of ours (e.g., Blanca, Alarcón, Arnau, Bono, & Bendayan, Psichothema, 2017; Schmidt & Finana, Journal of Clinical Epidemiology, 2018; Ali & Sharma, Journal of Econometrics, 1996; Schmider, Ziegler Danay, Beyer, & Bühner, Methodology, 2010). Nevertheless, we used an arcsine transformation on the variables a priori most likely to suffer from systematic deviations, namely the attribution proportions. Most authors recommend checking for major deviations from normality by plotting model-predicted values against residuals and against the normal distribution (using P-P or Q-Q plots). We did that for our analyses (graphs attached), and found no troublesome deviations, with the possible exception of one variable of minor importance to our main results or theory, namely performance quality ratings for successes in Study 2. We note in the paper that that variable may suffer from ceiling effects (former 468-469, revision 456-457). We did not add a discussion of normality to the paper because of the increased length and complexity that would involve and because it’s seldom an issue of concern with data and analyses like ours. However, we could include the graphs we’ve attached here as supplemental material if you tell us you would like us to do so.
Thank you for alerting us to this inadvertent omission. We now include complete correlation tables for all the variables analyzed in each Study in the supplemental materials: S2 Table for Study 1 (revision lines 224-225) and S11 Tables for Studies 2 and 3 separately and combined (revision lines 458-459), with provider-recipient correlations identified by color shading. (S2 was formerly the dataset for Study 1, but now data from all three studies are contained in S17.)
To better address our results in relation to previous attribution literature and theory, we have revised former lines 723-740 in the General Discussion. Now we more clearly discuss our findings in relation to self-serving bias, self-threat, and both historical and more recent formulations of attribution theory, including the helpful reference the reviewer provided (revision lines 708-735). We have also added a brief discussion of how our results relate to previous literature on future thinking (revision lines 760-762). We attempted to minimize redundancy with the Introduction section. The new material includes several new references.
We added mention in the General Discussion of individual differences in self-regulation, citing two references, including the one helpfully provided by Reviewer #1 (revision line 776). Additionally, we reworded former lines 798-799 (revision lines 793-794) to make it clearer that we are acknowledging individual differences there as well.
We condensed former lines 828-846 from 19 lines to 8 lines (revision lines 823-830), referring the interested reader to new Supporting Information S16 Text for the expanded version. We trust this solution meets the recommendation for a brief suggestion of methods, while also satisfying the interests of those seeking more detail.
Reviewer #2:
1. The paper reports an interesting and comprehensive work about a relevant issue in organizational psychology. Both the theoretical frame and the applied methodology are original and thorough, though the use of role-play raises some doubts about the robustness of the results (some concerns are raised by the authors themselves (lines 752-760)). This is, in my opinion, the main limitation of studies 2 and 3. I would suggest that the authors insert a wider reasoning about the choice of using this method to collect their data and the pros and cons.
We now include a wider reasoning about our choice to use a role-play method and the pros and cons. The new version comprises revision lines 282-298. (We also revised the subsequent paragraph for increased clarity, given the insertion of the new paragraph about the role-play method.)
2. In the "General Discussion" paragraph the authors state that "We investigated the sources of agreement and disagreement between feedback provider and recipient" (lines 712-713). I strongly suggest that this sentence is being modified, since it doesn't describe the aim nor the results in Study 1 correctly.
Thank you for your careful reading. We have re-written that sentence to more accurately capture the results of Study 1 as well as the other two studies (revised lines 697-700).
[Figures attached--please see uploaded document Response to Reviewers.]
Submitted filename: Response to Reviewers.docx
27 May 2020
The future of feedback: Survey and role-play investigations into causal attributions, feedback acceptance, motivation to improve, and the potential benefits of future focus for increasing feedback effectiveness in the workplace
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The future of feedback: Motivating performance improvement through future-focused feedback
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Our summer 2024 issue highlights ways to better support customers, partners, and employees, while our special report shows how organizations can advance their AI practice.
About the research.
Getting performance management (PM) right is critical to strategic execution in rapidly evolving business environments characterized by fast-moving markets, converging industries, increasing talent scarcity, growing dependence on contingent workers, and shifting labor preferences. But the pressure on PM is not simply a by-product of these trends: it is also an acknowledgment that next-generation performance management will be needed to deliver on digital transformation’s promise.
Performance management might be a late arrival to digital transformation, but as our research demonstrates, it is now poised to make radical use of new technologies. Technology-driven performance management already features apps for reading a team’s emotional engagement or predicting which high performers are preparing to leave an organization. For leaders, understanding and embracing the technology-based future of PM is essential to executing and leading digital transformation.
Michael Schrage
Research fellow, MIT Sloan Initiative on the Digital Economy
Analytics & business intelligence, rethinking performance management for post-pandemic success, talent management, does ai-flavored feedback require a human touch, organizational behavior, rebooting work for a digital era.
David Kiron and Barbara Spindel
Collaboration, performance management for successful teams.
Jordan Birnbaum and Michael Schrage
Make it personal: lessons from ibm on reinventing performance management.
Diane Gherson et al.
In this article, discover best practices for implementing a performance management system that drives success. Looking to evolve your organization's approach to performance management?
What is performance management, top performance management trends.
8 Performance management best practices
Performance management. Every company needs to do it. But not every company is doing it well.
Traditionally, organizations have relied on clunky, cumbersome, and disengaging approaches to performance management . They’re working with disparate systems, low buy-in, and frustrated managers and employees. Without a strategic direction—and the right tools—your performance management strategy can lead to low adoption and, ultimately, underperformance.
Employees crave fairness, transparency, and ongoing coaching and feedback. When leaders prioritize these things, employees feel connected to the rest of the organization and can do their best work. Our research shows what an engaging performance management approach looks like.
Performance management is the process leaders use to measure, develop, and motivate employee performance. The process should be ongoing to keep a constant pulse on individual, team, and company-wide performance. With continuous performance management , you can empower and engage employees to drive goals and objectives critical to business success. Here’s how:
When managers keep a pulse on employee performance, they can tackle problems and get their teams back on track. They can also outline opportunities that align with each employee to capitalize on strengths and close skill gaps.
Helping employees feel part of the process is the best way to ensure they feel heard, valued, and recognized. You don’t want employees to feel like performance management is happening to them. It should be a shared responsibility between employees and managers and an opportunity for growth and increased impact. Building a performance management approach that engages employees looks like:
When employees are active participants in their performance management journey, they feel a stronger sense of voice and influence, further reinforcing their dedication and motivation to excel.
Having clear and aligned goals alongside regular performance conversations help leaders outline the bigger picture. When employees understand how their daily initiatives make an impact, they feel more connected to their work and its purpose. When employees feel connected to a purpose, they’re more likely to make an impact.
Your company culture is all about the way you get work done at your organization, and your approach to performance is a key part. When you coach employees in a way that motivates and engages them, with ongoing feedback, recognition, and goal alignment, you’ll foster a culture that employees can thrive in.
According to our research on organizational culture , how an organization approaches performance management is a critical part of how employees feel culture within their organization.
A good performance management strategy helps employees grow to reach their full potential. Leaders can use performance management to address skills gaps, outline growth opportunities, and bolster employee strengths. It helps managers understand when an employee might be ready for a new project or role. It helps employees feel like the organization is invested in their development and career growth.
When you understand the big picture behind employee performance , you can make decisions that empower employees across the company. An effective approach to performance will help you identify performance impact, growth potential, and retention risk. When you keep a pulse on these metrics, you can give your employees the tools they need to succeed.
Your approach to performance makes all the difference in the employee experience. And the employee experience is a key indicator of whether your employees decide to leave or not. Performance management can be used as an ongoing tool to strengthen employee retention and keep your key players.
‘Productivity’ has earned buzzword status recently. And with good reason. Numerous organizations, driven by productivity concerns, continue to rely on outdated data and assumptions for measuring employee performance.
However, it is crucial to understand that there are effective and ineffective ways to enhance performance. To truly ignite employee impact, leaders need to prioritize the development of performance management strategy that fosters inspiration and motivation. In other words, organizational leaders need to shift their focus away from employee productivity and start inspiring employee impact.
The data below is informed by over 1 million employee voices at more than 9,000 organizations across the United States.
The traditional aspects of performance management, like ratings, rankings, and pay-for-performance don’t engage employees.
But performance management definitely has an impact on engagement. Quantum Workplace research shows that the top drivers of engagement—related to performance management—are recognition, fairness, alignment, feedback, and empowerment.
Leaders can use these drivers to design an approach to performance management that motivates performance, impact, and engagement.
Despite the importance of employee recognition , 1 in 2 employees would like more recognition for their work. Only 37% receive recognition monthly or weekly.
Overwhelmingly, at 71%, employees' most preferred recognition reason is for their performance or accomplishments in their role. By increasing the frequency of recognition, organizations can drive both performance and engagement.
One-on-one meetings between employees and managers are a fundamental pillar of effective performance management. Our research shows that 36% of employees express a desire for weekly one-on-one conversations with their manager.
This preference for frequent interaction underscores the value employees place on regular, meaningful engagement with their managers.
When employees are given the opportunity to engage in weekly 1-on-1 meetings, several benefits emerge. Most importantly, these meetings provide a stable platform for employees to discuss their priorities, align with personal and organizational goals, receive feedback, and gain clarity on job expectations.
Let’s dive into some of these benefits using our research as a guide.
Your employees are more likely to be engaged when you meet with them often. In fact, over 71% of employees who have weekly performance conversations are highly engaged. And one trend is becoming remarkably clear: As the 1-on-1 meeting cadence decreases, so does employee engagement. Only 53% of employees are highly engaged when they meet annually with their manager.
As organizations mature their approach to employee performance, they should aim to increase the frequency of meaningful one-on-one meetings that focus on goal-setting, performance, development, engagement, feedback, and more.
Different work environments require different approaches to performance. In fact, hybrid and remote workers are more likely than their onsite counterparts to want weekly 1-on-1s. 43% of remote workers and 37% of hybrid employees prefer a weekly cadence, compared to 27% of onsite employees.
Our research shows that 1 in 2 employees express wanting more feedback , and employees primarily want to receive that feedback directly from their manager.
Employees who receive more frequent feedback are:
When done well, goal setting can have an enormous positive impact on employee performance. In fact, goal setting has proved to be one of the most powerful management tools to improve performance in today’s workplace.
Our research found that employees who have individual goals set are 2X more likely to be engaged at work. Goal setting and revision frequency appears to be directly related to employee engagement. As collaboration and frequency decreases, employee engagement levels follow suit.
One of the most notable performance management trends is the redefinition of career growth and development.
Of course, most organizations understand the importance of providing career growth and development opportunities for their employees to help boost skills, drive engagement, and retain top talent.
But in order to design an effective development strategy, employers must first understand what ‘growth and development’ means to their employee base.
Our research shows that:
In other words: employees want different things when it comes to their own career growth. It’s more important than ever for managers to individualize employee development using the data they gather from those more frequent one-on-one meetings we discussed earlier in this article.
The performance management research above can help leaders across all industries create an engaging approach to performance. Keep these performance management best practices in mind when shaping your strategy.
The annual performance review doesn’t align with employee expectations around performance conversations. It’s not useful for facilitating the coaching and feedback needed to maximize alignment and impact throughout the year.
Employees want to have frequent one-on-ones with their manager.
When one-on-ones happen frequently, teams are more likely to be aligned, efficient, and engaged. While weekly one-on-ones are preferable, ensure you’re holding these conversations at least monthly. With a high meeting frequency, managers and employees can address challenges, questions, and concerns as they come up.
Not to mention, more frequent one-on-ones enable your managers to tailor employee growth and development to the unique needs of individual employees.
When managers and employees set goals collaboratively—and frequently—employee engagement increases.
To maximize employee impact and engagement, managers should help align team and individual goals with organizational goals. This helps employees visualize how their work contributes to the larger organization’s success. Outline why each goal is set and how it contributes to business outcomes.
When employees understand why their efforts are important, they’re much more likely to give their full effort day-in and day-out.
Employee recognition is associated with strong employee engagement levels. That’s why leaders should always provide recognition for employee contributions. Acknowledge employees when they achieve goals, showcase increased effort, and practice valued behaviors. Not only will your employees' engagement levels increase, but they’ll have the motivation needed to continue their efforts in the future.
Employees need feedback that helps them improve. Employees are likely to be engaged when they receive effective feedback from their managers. That’s because helpful feedback fosters a culture of trust and supports employee growth. Ensure your feedback outlines tools and strategies for employees to improve.
Feedback doesn’t always have to be constructive or regulated to a form. 1 in 2 employees want more recognition for their work. And while managers play an important role in giving recognition, organizations should also ensure that managers are recognized frequently for their efforts as well. Encourage employees to request input from peers and managers—asking for both constructive and positive feedback.
Research shows that fair performance evaluations are a top driver of engagement. That’s why leaders should prioritize honest, inclusive, and ongoing feedback. Don’t save all your feedback for a once-a-year performance review. Instead, align, assess, and adjust regularly throughout the year. Ensure you communicate the “why” behind each evaluation and give employees the opportunity to voice their opinions too.
Employee growth and development is not a one-size-fits-all initiative. Our research indicates that ‘growth and development’ means very different things to employees. Focus a good chunk of your one-on-one meetings on what growth and development within the organization looks like for each employee. These discussions can help shed light on what each employee wants and how their needs evolve over time.
If your employees feel like performance management is something that’s happening to them instead of something they’re actively contributing to, you have a big problem. Bringing your employees more actively into the performance process is one way to boost impact across the organization.
One of the most effective ways to do this is to leverage employee surveys to gather feedback on your current performance practices. And then use this feedback to continuously improve your performance management process using employee insight—not the assumptions of your leadership team.
Performance management shouldn’t be hard to build, adopt, and navigate. And that starts by having the right performance management tools. Cumbersome processes and disparate technology (or NO technology) can throw a wrench in your plan and make it more difficult for both employees and management to participate.
There are several ways the right technology solution can help to support and scale your performance management strategy.
Less than one-fifth of HR leaders believe their approach to performance management is effective right now, and 81 percent of leaders are changing their performance management system . A large shift is happening, and the best leaders leverage tech to navigate it. Here’s how performance management tools can help you:
A robust helps teams set, track, and elevate goals to the entire organization. That way, every employee can see—and contribute to—the big picture behind business objectives. | |
An effective will help people across the organization celebrate each other. The right software will connect recognition to key goals and values, motivating employees to continue important behaviors. | |
-on-1s facilitates employee manager conversations, increasing clarity and communication. Leaders can launch a 1-on-1 anytime, from anywhere, and integrate goals and feedback for better conversations. | |
A will help your employees become better team members and managers become better coaches. With flexible frameworks, employees and managers can ask for or provide feedback to grow in their role. | |
To make strategic people decisions, leaders need to understand the overall state of their talent. With an intuitive , leaders can elevate top performers and talent risk to take the right action and grow. | |
Leaders need effective tools to help them plan for the future, ensuring they have the right people in the right jobs at the right time. helps leaders capture successor interest and readiness to plan for critical roles—while helping potential successors grow and develop to be ready when called upon. |
Consider these performance management trends and best practices when shaping your approach. By coaching performance with employee engagement in mind, you’ll help employees reach their full potential and drive consistent business outcomes
Is performance management a priority for your organization this year? Learn more about how Quantum Workplace can help you make performance management easier. Get a demo today!
Published July 20, 2023 | Written By Kristin Ryba
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Part of the book series: Contributions to Management Science ((MANAGEMENT SC.))
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This Chapter proposes a broad systematic review of PMS design, describing the evolution of the approaches to PMS design, based on the application of theories; introducing both concepts and frameworks that characterise the field and clearly call out for more research on a comprehensive PMS framework; and showing how PMS mechanisms should relate to each other in order to develop both efficiency and innovation, which result in long-term survival. From the review on PMS design, we can argue that effective design of PMS design is contingent to both external and internal variables; financial performance measures are more and more assessed together with non-financial performance measures; the link between PMS and strategy should be enacted trough different kind of PM mechanisms; PMS is a dynamic package of PM mechanisms, which should be considered as a whole in order to assess the overall effectiveness. Finally, since the analysis of the effect of single mechanisms on the overall effectiveness is partial and problematic, there is a call for more loosely coupled PMSs, which develop both control and flexibility.
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The transition from measurement to management of performance has been called the second wave of knowledge management, since in the first wave “knowledge management – in particular in Nonaka’s view – concerns the single individual’s personal tacit knowledge and the subsequent problem of distributing such knowledge to other individuals in the organisation”, while in the second wave “knowledge management is about management control where managers combine, apply and develop a corporate body of knowledge resources to produce and use value around the company’s services” (Mouritsen and Larsen 2005 : 388).
Anne Huff defined the systematic literature review as the “explicit procedures to identify, select, and critically appraise research relevant to a clearly formulated question” (Huff 2009 : 148).
Although the review is focused on ‘performance management’ and ‘performance management system’, the search terms included other concepts, which are closely related to the main research question.
The sophistication of the management accounting systems has been defined as the “capability of an MAS to provide a broad spectrum of information relevant for planning, controlling, and decision-making all in the aim of creating or enhancing value” (Abdel-Kader and Luther 2008 : 3).
Previous studies on leadership style analysed the effect of this variable on budgetary participation, and the results were statistically significant (Brownell 1983 ).
Tolerance for ambiguity measures “the extent to which one feels threatened by ambiguity or ambiguous situations” (Chong 1998 : 332).
TCE develops the idea that controlling complex economic transactions by “hard contracting” is expensive and an optimal choice between firm and market governance should be taken according to asset specificity. “If assets are non-specific, markets enjoy advantages in both production cost and governance cost respects […]. As assets become more specific, however, the aggregation benefits of markets […] are reduced and exchange takes on a progressively stronger bilateral character” (Williamson 1981 : 558).
Even though the first framework developed four perspectives (financial, internal business, customer, and innovation and improvement), Kaplan and Norton specified that each firm, or unit, using the BSC should adjust the number and focus of perspectives and their measures to the specific case under analysis. Therefore, the number of perspectives can be higher than four and the perspectives caption can be changed according to the strategic issues that the firm has to monitor in order to be successful.
Together with the BSC, other performance measurement systems based on both financial and non-financial performance measures have been developed, such as the Results and Determinants (Fitzgerald et al. 1991 ), the Performance Pyramid (Lynch and Cross 1995 ), and the PISCI (Azofra et al. 2003 ).
According to Kim and Oh, the performance measures related to R&D departments should be based on behavioural and qualitative measures, such as “leadership and mentoring for younger researchers”, and appraised by a “bottom up (e.g., R&D researchers’ evaluation of their own bosses say, R&D managers) as well as horizontal (e.g., peers and/or colleagues)” evaluation scheme (Kim and Oh 2002 : 19).
Simons described the old management control philosophy as a “command-and-control” one, in which strategy setting follows a top-down direction, a lot of emphasis is put on standardization and efficiency, results are compared to and should be aligned to plan, and much effort is devoted to keeping things on track and minimizing the number of “surprises”. On the other hand, he pointed out that the new management control philosophy is more concerned with “creativity […], new organizational forms, […] the importance of knowledge as a competitive asset”, which has resulted in “market-driven strategy, customization, continuous improvement, meeting customer needs, and empowerment” (Simons 1995 : 3).
Mission statement, vision and corporate credo are all examples of “organizational definitions”.
However, Simons also warned about setting boundaries that could inhibit adaptive change and survival ( 1995 : 55–53).
Benefits from managerial creativity relate to all the new alternatives and solutions that managers can invent in trying to either create value for the organization or solve problems (Christenson 1983 ; Nelson and Winter 1982 ), while dysfunctionalities refer to research activities that are either too risky or too vague, and thus not value creating.
Argyris and Schon also called the intended strategy an “espoused theory” in contrast to “theory-in-use” (Argyris and Schon 1978 : 10–11).
Simons argued that critical performance variables are “those factors that must be achieved or implemented successfully for the intended strategy of the business to succeed” (p. 63); they can be identified through effectiveness and efficiency criteria (Anthony 1965 ). He also agreed with Lawler and Rhode ( 1976 ) that critical performance variables should be related to objective, rather than subjective measures; complete, instead of incomplete; and responsive, rather than unresponsive, measures. Simons also posited that all the three features rarely occur in diagnostic control systems (Simons 1995 : 76).
Simons asserted that in “normal competitive conditions, senior managers with a clear sense of strategic vision choose very few – usually only one – management control system at any point in time” (Simons 1991 ). The reasons for this limited choice are related to both economic and cognitive, as well as strategic issues. Since the interactive use of control systems require managerial attention, managers will be distracted by other day-to-day operations, which can be handled only for one system at a time. From a cognitive perspective, individuals can cope and make decisions simultaneously only with a limited amount of information; otherwise they will be overwhelmed by data. From a strategic standpoint, “the primary reason for using a control system interactively is to activate learning and experimentation” (Simons 1995 : 116); therefore it is better to avoid poor analysis, or decision paralysis coming from too many projects under analysis.
Nonetheless, Collier acknowledges the implementation of the beliefs system lever of control (Collier 2005 ).
She also stressed that investigating “how differences in interpretation of strategic contingencies shape management control systems would enrich Simons’ model” (Gray 1990 : 146).
The portfolio of management control mechanisms is made up of “standard operating procedures, position descriptions, personal supervision, budgets, performance measurement, reward systems and internal governance, and accountability arrangements [as well as …] less obtrusive forms of control, such as personnel selection, training and socialization processes” (Abernethy and Chua 1996 : 573).
An example of such frameworks is the value based management tool introduced by Ittner and Larcker ( 2001 ).
Mission has been defined as the “overriding purpose of the organization in line with the values or expectations of stakeholders”, while the vision develops the “desired future state: the aspiration of the organization” (Johnson et al. 2005 : 13).
In their work, Malmi and Brown specified that, although their framework represents a broad typology, it is also a parsimonious one, since it encompasses only five types of control (Malmi and Brown 2008 : 291).
Merchant and Van der Stede’s framework develops different forms of control according to the different objects under control, which are culture, personnel, action and results controls (Merchant and Van der Stede 2007 ).
Nonetheless, the authors acknowledged that culture may sometimes be beyond managerial control.
On the issue of a tentative framework, the authors call for “further research [that] should reveal the missing and unnecessary elements in it” (Malmi and Brown 2008 : 295).
Although budgets can cover a shorter, or longer period, it is usually based on a 12-month period.
Giorgio Brunetti stressed that both purposes should be accomplished by the management control system, although one of the two may be “stressed” (Brunetti 1979 : 69) a little bit further, indeed, he argued that a control system, which is uncoupled from the rewarding system, results in an amount of information aimed at sustaining, rather that coordinating, operations (p. 70).
In line with the contingency approach, the effective design, according to Brunetti, lies in the “congruency”, or “fit” of management control system’s variables with both management control system’s inputs and outputs (Brunetti 1979 : 98).
Other limitations to the cybernetic approach to the design of management control system can be found elsewhere in this work (§ 2.3).
To Mella, a system of transformation is an “‘entity’ able to transform certain ‘objects’ that enter the system into different ‘objects’ which leave the system” (Mella 1992 : 456).
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© 2014 Springer-Verlag Berlin Heidelberg
Demartini, C. (2014). Performance Management System. A Literature Review. In: Performance Management Systems. Contributions to Management Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36684-0_3
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Using real-world examples and best practises, uncover what performance management is and why it is important.
Ivan Andreev
Demand Generation & Capture Strategist, Valamis
March 14, 2022 · updated July 31, 2024
17 minute read
Increasingly, organizations are understanding that their management systems must be brought into the 21st century if they are going to be competitive in the current market.
Research shows that previous systems, such as yearly appraisals, are outdated and can even serve to decrease employee engagement and motivation. In light of this, more companies are turning to performance management than ever before.
This dynamic and strategic approach to developing improved performance in employees is gaining ground in companies large and small, including many Fortune 500 and industry-leading organizations.
The importance of performance management, the purpose and goals of performance management, the benefits of performance management, 15 employee performance management best practices, 5 real-world examples of performance management, what is the difference between performance management and performance appraisals.
Performance management is a strategic approach to creating and sustaining improved performance in employees, leading to an increase in the effectiveness of companies.
By focusing on the development of employees and the alignment of company goals with team and individual goals, managers can create a work environment that enables both employees and companies to thrive.
Based on the definition of performance management, a system is built within an organization to measure and improve the performance of the people in that organization.
In practice, performance management means that management is consistently working to develop their employees, establish clear goals, and offer consistent feedback throughout the year.
In contrast to other systems of reviewing employee performance, such as yearly performance appraisals , employee performance management is a much more dynamic and involved process with better outcomes.
For the Human Resources department, performance management is an important system for onboarding , developing and retaining employees, as well as reviewing their performance.
It is increasingly understood that a yearly performance appraisal system does not effectively engage employees, fails to consistently set and meet company objectives, and does not result in a strong understanding of employee performance.
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In any organization, no matter the size, it is important to understand what your employees are doing, how they are doing it, and why they are doing it.
Without a system in place to define roles, understand individual strengths and weaknesses, provide constructive feedback , trigger interventions and reward positive behavior, it is much more difficult for managers to effectively lead their employees.
Smart organizations pair their performance management with an incentive management process. The two systems have a lot in common, from defining roles and setting goals to reviewing and rewarding employee behavior, and as such, do very well when run simultaneously. Using incentive management also means that the all-important ‘reward’ step of performance management is done properly.
Talent management is an important part of every organization. Three of the main problems that organizations face are:
These are the issues that performance management very effectively targets.
Engagement of employees is a focus of any management team. In a yearly appraisal system, goals would be given at the beginning of the year and then revisited 12 months later to see if they had been met. This long stretch of time without feedback or check-in is an almost certain engagement killer.
In fact, 94% of employees would prefer their manager gives them feedback and development opportunities in real-time, and 81% would prefer at least quarterly check-ins with their manager, according to the Growth Divide Study .
Studies show that employees do best with feedback on a monthly or quarterly basis, with regular check-ins serving as a zone to problem solve, adjust goals as necessary, and to refresh their focus on the goal. In fact, companies where employees meet to review goals quarterly or more frequently are almost 50% more likely to have above-average financial performance.
When surveyed, employees had some negative feelings about a yearly appraisal system:
All of this adds up to a lot of missed opportunities to solve problems and increase employee performance and engagement.
As employee engagement rises, nine key performance indicators show successful outcomes. Absenteeism, turnover, shrinkage, safety incidents, patient safety incidents and defects in quality are lessened by at least 25%, and often more, across the board. Customer experience, productivity and profitability all show positive outcomes.
This study, by Gallup , was conducted across a broad range of industries, showing that employee engagement is a critical factor, no matter the industry.
Employees who have frequent meetings with management to discuss performance, solve problems and receive training are more likely to stay with the company.
If employees see that their management team is putting in the work to develop them professionally, help them succeed with their goals, and reward performance on a consistent basis, then they are more incentivized to both stay with the company and work harder.
This consistent development and partnership between managers and employees allow for the development of leaders from within the company.
Recruiting costs can be extremely high, as are costs for onboarding and training new employees. To be able to groom leaders from within the company means that there is already a proven culture fit with this individual and that training costs and resources spent developing this person into an asset are not lost.
This leadership path also serves as a motivating force for employees, who can see that their hard work will be rewarded with promotions and other benefits.
Performance management also creates a need for management to consistently focus on company objectives and goals, and to consider how best to achieve them. This continual revisiting of goals means that they are more likely to stay relevant, as goals will be adjusted in light of new technology, changes in the market, or other factors throughout the year.
According to Forbes , ‘companies that set performance goals quarterly generate 31% greater returns from their performance process than those who do it annually, and those who do it monthly get even better results.’
The purpose of performance management is to give both managers and employees a clear and consistent system within which to work that, in turn, will lead to increased productivity.
There are five main objectives of performance management:
These performance management goals show a clear path from the developing of goals to the rewarding of increased accomplishment. If one of these performance management objectives is not done well, then the others will suffer as a result.
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Performance management has a multitude of benefits for employees and managers, as well as for the company as a whole. If a company can successfully create an environment of engagement where customers are equally engaged by employees on the front line, their outcome is even better.
When organizations successfully engage their customers and their employees, they experience a 240% boost in performance-related business outcomes compared with an organization with neither engaged employees nor engaged customers. – Gallup
While performance management can sound deceptively simple, with just four steps as outlined above, the process itself is very complicated. That’s why we have put together this list of best practices for performance management.
Think of it like the essentials of performance management – these will help make sure that your employee performance management system is performing the way it should.
As you are creating your performance management program, you need to understand what you want to accomplish.
Asking the following questions can help you:
If you know what you want your program to do, it will be easier to build it to accomplish that goal.
We mentioned this above, but it bears repeating. It is much harder for an employee to be successful if they don’t know exactly what is expected from them, how they should do it, and what the end result should look like.
As you set goals, develop a performance plan to go alongside. Year-long goals often fail, as they are too large and employees can get overwhelmed before they start. A performance plan helps them visualize their path, making it much more likely that they will meet their goal.
Review key areas of performance. Use metrics and analytics to your advantage, tracking how goals are progressing to make sure that interventions can happen early, if necessary.
The point of coaching is to help identify and solve problems before they get too big. If it’s not frequent, it’s not going to help at all. Monthly or quarterly meetings should be held to help keep employees on the right track.
Guidelines should be created for each role as part of the first stage of the performance management cycle. These policies or guidelines should stipulate specific areas for, or limits on, opportunity, search and experimentation. Employees do their jobs better when they have solid guidelines to follow.
Make sure your workplace has shared values and cultural alignment. A sense of shared values, beliefs and expectations among employees creates a more harmonious and pleasant workplace. Employees should be committed to the values and objectives outlined, and exemplified by, top management.
This helps employees – and managers – understand what other departments do, how they think and what their strengths and weaknesses are. They can discover something new and find new connections, which can help them in future work.
During these coaching meetings, tensions can arise if the feedback is not given in a constructive, actionable manner. It is not very important to look backward and point fingers, rather management should guide employees towards future success.
Giving less-than-stellar feedback is hard on both managers and employees, it’s one of the reasons that performance appraisals tend to be a least-liked task. Managers should make sure to keep feedback professional and remember to focus on behavior, rather than characteristics.
For example, pointing out that David regularly turned in important reports late is feedback about a behavior. Saying that David is lazy, and that’s why the reports were often late is feedback about a characteristic. One of these can help an employee own their role in a project’s success (or lack thereof) and the other will make them defensive instantly.
Management should be trained too. Coaching and offering good feedback are not easy jobs, which is why there are so many specialist coaches out there. For managers to be able to lead well, they should be trained in these skill sets.
Ask employees to write feedback for each other. This will give management a more holistic view on employee performance, understand the challenges that teams are facing, and be able to better offer feedback.
While the review process is important, it is only one part of the system as a whole. Planning, coaching, and rewarding employees are equally key parts of the system.
It can be easy to assume that problems are always caused by employees, but that simply is not the case. Problems can arise from external factors such as availability of supplies, internal processes that are causing issues, or organizational policies. Seek out the source of problems as precisely as you can in order to fix them.
Management cannot expect employees to stay motivated if they are never rewarded, yet many companies overlook this key step. Make sure that employees are compensated and recognized for their hard work, and they will continue delivering for your organization.
Of course, it’s one thing to understand the theory of what performance management is, but it’s another thing to use it in a real company. Let’s take a look at some real-world examples of the performance management process in action:
It’s no surprise that Google would show up on a list of companies that use a newer, innovative system of management. This company has always been a trendsetter, and their performance management process is one that relies on data and analysis, as well as making sure that their managers are well trained.
When assessing their performance management system, Google launched a project dedicated to assessing their managers, which has led to a thorough training and future development process that sets managers, and thus employees, up for success.
They also use a system of setting goals that have caught on across multiple industries. Using their Objectives and Key Results (OKRs) system, they reframe the goal-setting process, with great results.
Another tech trendsetter, Facebook has a performance management process that puts a heavy emphasis on peer-to-peer feedback. In semi-annual reviews, they are able to use that feedback to see how well teams are performing and understand where collaboration is happening – and where it is not. They also have developed an internal software to provide continuous, real-time feedback. This helps employees solve issues before they become problems.
Cargill is a Minnesota-based food-producer and distributor with over 150,000 employees and serves to demonstrate that even huge companies can ditch unwieldy performance appraisals and institute a new system. In following the latest research on the dissatisfaction of management with outdated performance management process, Cargill created their ‘Everyday Performance Management’ system. The system is designed to be continuous, centered around a positive employee-manager relationship, with daily activity and feedback being incorporated into conversations that solve problems rather than rehash past actions.
The Everyday Performance Management system had overwhelmingly positive results, with 69% of employees stating that they received feedback that was useful for their professional development, and 70% reporting that they felt valued as a result of the continuous performance discussions with their manager.
Adobe calculated that managers were spending about 80,000 hours a year on performance reviews, only to have employees report that they left those reviews demoralized and turnover was increasing as a result.
Seeing a system that only produced negatives, Adobe’s leadership team made a bold leap into a performance management system that began by training managers how to perform more frequent check-ins and offer actionable guidance, then the company gave managers the leeway they needed to effectively lead.
Management was given much more freedom in how they structured their check-ins and employee review sessions, as well as more discretion in salaries and promotions. Employees are often contacted for ‘pulse surveys’ – a way for the leadership team to make sure that individual managers are leading their teams well. One of the many positive results of this has been a 30% cut involuntary turnover due to a frequent check-in program.
Accenture is a massive company – over 330,000 people, so changing their systems means a huge effort. When they switched to their new system, they got rid of about 90% of the previous process. Now, they are using a more fluid performance management process where employees receive ongoing, timely feedback from management. This has been paired with a renewed focus on immediate employee development and an internal app for communicating feedback.
There are common threads in all of these examples. Each company has built a system that works for them, rather than following a one-size-fits-all approach. What works for one company might not work for another – it depends on the industry, the speed and flexibility of the company, and the overall goal of the system itself.
With similar names and purposes that sometimes align, it is no surprise that some people find it hard to spot the difference between performance management and performance appraisals.
In fact, performance appraisals are often part of the performance management process , although some companies still rely on performance appraisals alone.
An easy way to understand the difference between the two is that performance appraisals are reactive, and performance management is proactive.
A performance appraisal looks at all of the past actions of the employee within a set amount of time , and rates how well they performed in their role and how many goals they met.
Performance management looks at the present and future of the employee, and what can be done to help future performance and meet future goals . Performance management is focused on the development and training of an employee, and how that can benefit both the employee and the company.
A performance appraisal is a formal, operational task, done according to rigid parameters and in a quantitative manner. HR leads performance appraisals, with input from management. Performance management is much more informal and strategic, led by management with input from the employees in a more flexible manner.
Performance Management | Performance Appraisal |
---|---|
Proactive | Reactive |
Forward looking | Backwards looking |
Led by supervisors and management | Led by HR with some management input |
Flexible | Rigid |
Strategic | Operational |
Ongoing | Once a year |
Does not use ratings or rankings | Uses ratings and rankings |
In volatile times, companies are under outsize pressure to respond to economic, technological, and social changes. Effective performance management systems can be a powerful part of this response. They’re designed to help people get better in their work, and they offer clarity in career development and professional performance. And then there’s the big picture: companies that focus on their people’s performance are 4.2 times more likely to outperform their peers, realizing an average 30 percent higher revenue growth and experiencing attrition five percentage points lower (see sidebar, “About the research”). Companies that focus on their people and organizational health also reap dividends in culture, collaboration, and innovation—as well as sustained competitive performance. 1 Alex Camp, Arne Gast, Drew Goldstein, and Brooke Weddle, “ Organizational health is (still) the key to long-term performance ,” McKinsey, February 12, 2024.
Today, company leaders lack full confidence in most performance management systems—despite these systems’ importance and value—citing fragmentation, the existence of informal or “shadow” systems, misalignment, and inconsistency as common challenges. What sort of systems fit the company’s needs? Should rewards focus on individual or team goals? Where are limited resources best spent?
The insights in this article draw from a comprehensive review of industry best practices, including the experiences of more than 30 global companies across sectors, as well as research by the McKinsey Global Institute (MGI) into how companies gain a competitive edge and deliver top-tier financial results. Specifically, MGI studied more than 1,800 companies with revenues of greater than $100 million. 1 Performance through people: Transforming human capital into competitive advantage ; MGI, February 2, 2023. The article’s author team also completed a study of more than 50 companies’ performance management practices, aiming to provide a nuanced understanding of how organizations approach and execute performance management.
An understanding of the four basic elements of performance management—goal setting, performance reviews, ongoing development, and rewards—provides a foundation for answering these questions and more. Of course, the right performance management system will vary by organization. Leaders who embrace a fit-for-purpose design built on a proven set of core innovations can build motivational and meritocratic companies that attract and retain outstanding employees.
Our research across a set of global companies found that despite widespread agreement about certain performance management best practices—such as offering regular feedback outside of an annual review—many companies remain stuck in old ways of working. There are many design choices that can determine the characteristics of a performance management system, but some are more critical than others (Exhibit 1). These decisions—and how they interact with each other—will help determine how the performance management system maps onto the company’s overarching strategy.
Two critical design decisions relate to goal setting: the number of performance management systems used and whether to prioritize individual or team performance goals.
Degree of differentiation. The simplest and best option for many organizations is a single performance management system to address the needs of all employees. However, in more-complex companies with several employee groups, more than one system might be necessary. Manufacturing companies, for instance, may employ three performance management systems with few commonalities: one for sales, in which sales agents are provided direct incentives for the number of goods sold; one for production, with a monthly rhythm focusing on improving core production KPIs; and one for executives, in which the focus might be related more to annual objectives and leadership behavior.
Considerations for these choices often revolve around the nature of the work and the ease of quantifying outputs. For roles in which performance can be easily measured through tangible metrics, such as sales and production, a system emphasizing quantifiable outcomes may be more suitable. On the other hand, for roles involving tasks that are less easily measured, such as those in R&D, a performance management system should be designed to accommodate the nuanced and less tangible aspects of their contributions.
The nucleus of performance. Many organizations have traditionally placed a strong emphasis on individual performance, rooted in the belief that individual accountability drives results. In recent years, there has been a noticeable shift toward recognizing the importance of the team in achieving overall organizational success.
At a large European online retailer, for instance, the focus of performance management has been put on the team rather than the individual. Goals are set for the team, feedback is given to the team, and the performance appraisal is conducted for the team. Example performance metrics for teams can include project completion timelines, cross-functional collaboration success, and the achievement of collective milestones. On an individual level, the company assesses performance using a sophisticated model that prescribes skills and behaviors for 14 job families, each with up to four hierarchies.
Another prominent company in the automotive industry underscores the team as the cornerstone of performance. The teams could be defined along both functional and organizational lines—such as the division or the business line—and the company linked the organizational lines’ performance to the individuals’ compensation.
Performance reviews raise the question of how to balance the individual objectives and their appraisal with respect to the “what” and the “how,” as well as whether review responsibility should lie primarily with managers, committees, or a combination of both.
Performance formula: What versus how. The balance between setting objectives and assessing what employees accomplish and how they go about their work is the central focus here. To measure the “what,” reviews have traditionally used KPIs, concentrating on quantifiable metrics and specific targets and emphasizing measurable outcomes and achievements. 2 For more on metrics best practices and how they can help leaders avoid pitfalls in their performance management systems, see Raffaele Carpi, John Douglas, and Frédéric Gascon, “ Performance management: Why keeping score is so important, and so hard ,” McKinsey, October 4, 2017.
However, for many roles and in many segments of the company, the work is complex, multifaceted, and fast-paced and can be difficult to capture with rather static KPIs. Consequently, many companies have reverted to using objective key results (OKRs) to link results to defined objectives. The objectives represent the qualitative, aspirational goals an individual or team aims to achieve, while the key results are the quantifiable metrics used to measure progress toward those objectives. The objectives provide context and direction, capturing the broader strategic intent behind the measurable key results.
Companies that explicitly focus a portion of performance reviews on the “how” consider qualities such as collaboration, communication, adaptability, and ethical decision making. Considering behavior and conduct, in particular, can help assess leaders whose teams’ outcomes are hard to measure—such as long-term projects, complex initiatives, or qualitative improvements that may not have easily quantifiable metrics. About three in five companies in our sample look at a mix of both what and how, which can equip managers with a more comprehensive understanding of not only tangible results but also the underlying approach and mindset that contributed to those outcomes.
Review responsibility. In structuring accountability for conducting performance reviews, companies tend to lean on managers, committees, or a combination of both.
Managers should play a central role, and their discretion should be a significant factor in performance assessments because they can judge the context in which an employee has been working. For example, when evaluating performance, it’s crucial to consider the headwinds and tailwinds that the business, team, or employee faced during the evaluation period. External factors, market conditions, and organizational dynamics can significantly affect an employee’s ability to achieve their goals, and considering them helps provide a fair and contextual assessment.
In this context, another design question emerges: whether to appraise employees against OKR fulfilment or the effort they put into achieving the desired outcome. Particularly in many large digital players, OKRs are set as “moonshot” goals—objectives so ambitious they are difficult to achieve. Managers can help ensure that, at the end of the performance cycle, an employee is assessed against not only OKR fulfillment but also—and to an even greater degree—how hard they tried given the resources available to them.
Managers’ points of view, formed with knowledge of the circumstances that produced employees’ performance, produce richer assessments that are sensitive to context—given that managers work closely with their team members and have firsthand knowledge of the challenges, workloads, and specific situations that each employee encounters.
Committees, meanwhile, bring diverse perspectives and can mitigate biases that might arise from individual managers’ subjectivity. Committees can provide a checks-and-balances system, promoting consistency and standardization in the evaluation process.
A combination of these two approaches can be an effective solution. Senior managers and high performers across hierarchies could be discussed in committees, while the rest of the workforce could be evaluated by their direct managers. This integrated approach leverages the contextual insights of managers while also incorporating the diverse viewpoints and standardization that committees offer, particularly for more-senior or high-impact roles.
Regardless of the review responsibility structure, it’s worth noting that more and more managers, committees, and employees are using generative AI (gen AI) to aggregate and extract information to inform performance reviews. For example, some employees may toil to define clear, specific, and measurable goals that align with their career aspirations; gen AI can help create a first draft and iterate based on their role, helping the employee focus on their specific growth areas as well as gauge improvement on an ongoing basis. Managers and committees, meanwhile, used to spend a lot of time gathering performance metrics from different sources and systems for employee evaluation. Gen AI can aggregate input from various sources into a consolidated format to provide managers with a more comprehensive starting point for reviews.
Beyond employees’ formal professional-development opportunities, their managers’ capability to set goals, appraise performance fairly and motivationally, and provide feedback is one of the most critical success factors for an effective performance management system. As a result, many companies have pivoted to invest in focused capability building.
Another key aspect to consider when designing a performance management system is the focus of the assessment: will it evaluate past performances, or will the emphasis be placed on creating an understanding and foundation for further growth?
A backward-looking assessment will focus on fulfillment of the what and how objectives to create a fair basis for ranking and related consequences. However, many companies are pivoting to complement this assessment or are even focusing entirely on a developmental appraisal. In this approach, the focus is on truly understanding the strengths and weaknesses of the individual as a basis for further development, capability building, and personal growth.
Against that backdrop, rather than concentrating solely on top performers, an inclusive developmental system should cater to the growth needs of employees across all levels and backgrounds. McKinsey research emphasizes the importance of ongoing development for all employees, including—crucially—efforts tailored specifically for women 3 Women in the Workplace 2023 , McKinsey, October 5, 2023. and other underrepresented groups. 4 Diversity matters even more: The case for holistic impact , McKinsey, December 5, 2023. Such development programs not only foster a more equitable culture but also help unlock the full potential of the entire workforce.
Traditionally, many companies have used relative ratings to compare and rank employees against one another, often resulting in a forced distribution or curve. Employees are placed into categories or tiers based on their relative performance, with a predetermined percentage falling into each category (for example, top 10 percent, middle 70 percent, and bottom 20 percent).
Many companies today are simplifying their ratings systems so employees understand where they stand while shifting toward development approaches tailored to individuals’ strengths and weaknesses. The goal is to identify areas for growth and provide targeted support to help employees enhance their capabilities and skills.
While assessing performance remains important, the emphasis should be on using those assessments as a starting point for identifying developmental opportunities, with an understanding of both strengths and weaknesses and the specific development needs to improve performance. The focus shifts from mere evaluation to understanding the underlying factors that contribute to an individual’s performance, be it skills gaps, mindsets, or environmental factors.
Four reward categories—compensation, career progression, development opportunities, and recognition—remain the core pillars of an effective performance management system. Most leading companies provide individual rewards (as opposed to team- or corporate-driven ones), with equal relevance given to short- and long-term incentives, looking at impact holistically and balancing investment in all four reward categories.
Under certain circumstances, it may make sense to emphasize financial rewards, particularly in sales functions or other roles where monetary incentives are highly valued. Indeed, some organizations may double down on monetary compensation, offering significantly higher pay packages to their top performers, because money is seen as a key motivator in these roles.
In other cases, it may be more effective to take money off the table and emphasize nonfinancial rewards, such as recognition, flexibility, and career development opportunities. While base pay may remain the same across the firm, high performers can be rewarded with faster career progression, more recognition, and better development opportunities. A 2009 McKinsey survey found that “three noncash motivators—praise from immediate managers, leadership attention (for example, one-on-one conversations), and a chance to lead projects or task forces” were “no less or even more effective motivators than the three highest-rated financial incentives: cash bonuses, increased base pay, and stock or stock options.” Furthermore, “The survey’s top three nonfinancial motivators play critical roles in making employees feel that their companies value them, take their well-being seriously, and strive to create opportunities for career growth.” 5 “ Motivating people: Getting beyond money ,” McKinsey Quarterly , November 1, 2009. More than a decade later, McKinsey research found that managers and employees remain misaligned: specifically, employers overlook the relational elements—such as feeling valued by a manager and the organization and feeling a sense of belonging—relative to how important these factors are to employee retention (Exhibit 2). 6 “ ‘ Great Attrition’ or ‘Great Attraction’? The choice is yours ,” McKinsey Quarterly , September 8, 2021. Indeed, the importance of nonmonetary incentives represents a consistent theme in performance management research and inquiry.
Given the time and effort required to effectively implement nonfinancial rewards, it’s crucial for organizations to carefully consider how to deploy these rewards strategically with employee groups. The decision of where to place emphasis should align with the organization’s culture, values, and the specific workforce’s motivations.
It’s worth noting that companies focusing on team achievement over individual performance also tend to value praise of the team. Public recognition and praise for effective teamwork and joint accomplishments can foster a sense of unity, camaraderie, and motivation.
Of the global companies we observed, there was a shared set of enabling factors across those with effective performance management systems. These things are fairly intuitive, but they are hard to practice well. Done consistently, they can produce powerful results.
If reviews remain once a year rather than more frequent, top management may consider prioritizing their direct involvement in the evaluation process to keep a pulse on employee sentiment and progress. A leading financial institution in Europe chose this route and found it was able to build a strong capability-building program around a feedback culture that is unafraid of difficult conversations.
Companies can get started by understanding where they are now. Specifically, they should assess their organizations’ current performance culture, including the level of adoption of the existing performance management system and its quality. Decision makers should then use the following three questions to check the health of their performance management efforts and outline their ambitions for performance management:
Many traditional approaches to people management are unlikely to suffice in today’s top-performing organizations. The research-backed benefits of prioritizing people’s performance, from enhanced revenue growth to lower attrition rates, underscore the strategic importance of these systems. By embracing a fit-for-purpose design anchored in the key elements of performance management, organizations can position themselves as dynamic and adaptive employers.
Simon Gallot Lavallée is an associate partner in McKinsey’s Milan office, where Andrea Pedroni is a partner; Asmus Komm is a partner in the Hamburg office; and Amaia Noguera Lasa is a partner in the Madrid office.
The authors wish to thank Katharina Wagner, Brooke Weddle, and the many industry professionals who contributed to the development of this article.
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Featured topics, october 23, 2021.
In-depth interviews with 67 elite performers have shown us where organizations are going wrong with performance management — and how to make it right.
Almost nobody we speak to in the corporate world seems satisfied with their performance management processes — and absolutely nobody knows what to do about it. We’ve all tried making tweaks. We’ve revisited, revised and relaunched. But no organization has managed to crack the age-old problem of how to cultivate feedback conversations that consistently drive improvements in performance.
To get a fresh and highly informed perspective on the subject, we asked 67 top-flight performers in fields ranging from theatre, film and TV to medicine and emergency services to tell us about their experiences of performance management. What they described to us was an approach, understanding and mindset that are unlike anything we are used to in the corporate sphere.
In their world, feedback is built into the day-to-day rhythm of work, not stored up to be shared in annual performance reviews.
In their world, those giving feedback are masters in human behavior, so they do not have to fall back on fixed performance management plan of action but can instead provide personalized and highly effective input whenever and wherever it is needed.
In their world, performance management is seen as a collaborative process, where feedback givers share “notes” rather than opinions, and work with feedback receivers to co-create improvement ideas.
In their world, people become accustomed to receiving feedback very early on in their careers and see input from others as critical to driving performance.
The point is that their world works. Ours doesn’t. So, we say it’s time for us to rip up the rulebook of performance management and create a new blueprint for driving individual and team performance across the corporate world.
In the corporate world, we tend to discuss performance management in terms of ratings, structure, process and other formal procedures and techniques. But for the elite performers we spoke to, feedback is the key to shaping growth, improvement and course correction — not formal performance management plans or interventions. What’s more, feedback is viewed as a fundamental part of everyday life. Everyone expects it. Everyone is hungry for it. As British Olympian, Alex Partridge, put it:
“Feedback is the only way to improve in rowing. You come off the water and analyze immediately. This feedback loop — three times a day — ensures you constantly do what is needed.”
Learning from our research participants, we believe it is time to redefine feedback conversations and their role in how we think about performance management. Feedback should not be seen as a nice-to-have. It has to become a natural and regular part of the corporate workplace.
Effective performance conversations do not just happen by chance. It is critical to develop, embed and sustain the right conditions to enable free-flowing feedback between managers and employees to thrive within an organization. We have identified three key pieces of “scaffolding” you need to have in place to create a more impactful performance management environment.
First is a shared performance purpose . This gives people reason to seek out, accept and understand feedback — because, in doing so, they are helping the team achieve a common goal.
Second: culture and values . The aim should be to create an environment where feedback becomes just “what we do around here,” and is given and received across the peer group.
Third is a climate of psychological safety. This means an environment in which people do not feel threatened by feedback, and where they know they won’t be punished for making a mistake. As Ted Brandsen, Director of the Netherlands National Ballet, explains:
“I think they’ve got to be in a place where they feel comfortable and in control, not threatened. It’s not being called into the headmaster’s office. A bit more casual, I think, would be best.”
The elite performers we spoke to were shocked to learn how long feedback is routinely “stored up” in the corporate world before being shared. In their minds, feedback is something to be given in the moment, circumstances permitting. The idea that performance management plans arrange for feedback to be given on an annual, quarterly or even monthly basis is completely alien to them.
The arguments in favor of regular, spontaneous feedback are many. For one thing, people’s memories are extremely unreliable. The longer feedback is delayed, the less recognizable it becomes and the less impact it has on the receiver. For another thing, the shorter work cycles of today’s business environment are not suited to a formal process of annual or quarterly reviews. It is much better to have a performance management process where individuals can set a personal rhythm for feedback directly linked to the cycle of their work.
Achieving a constant flow of feedback between managers and employees is difficult — but doable. Organizations could start by baking “feedback moments” into the daily cycle of work (for example by starting every meeting with a quick note on what feedback attendees might want at the end) and ensuring there is time for a dedicated reflection point at the end of each performance cycle.
Providing nuanced and actionable feedback is not easy. Organizations have tried to help feedback givers meet the challenge by providing them with conversation models, scripts, rules and formulas. But the truth is that no amount of formal support mechanisms or stringent performance management plans will ever be enough. Delivering personalized feedback in the moment requires leaders who have both a deep understanding of human behavior and a significant level of self-awareness, as well.
Our research participants have helped us identify five key traits that define a successful feedback giver: courage, humility, credibility, empathy and honesty. Through our discussions, we have also managed to define the thought process that effective feedback givers go through before delivering any feedback. It looks something like this:
“What is it specifically I see going on?
“What am I hearing? Am I totally present?”
“What is the impact of what I am seeing and hearing?”
“Will the feedback I want to give shift performance?”
“Is this the right moment for the feedback to be received?”
The final piece of the puzzle for effective feedback-giving is the concept of “notes”. It’s a concept we came across many times in our interviews with participants in fields as wide-ranging as the military and the arts. It describes an approach to collecting and summarizing observations on a performance, with the aim of making the performance better — and thus, your performance management efforts more meaningful. Most critically, the process of taking and delivering notes is a part of how the work gets done. It’s not treated as a separate activity (as feedback in industry often is).
Feedback is a two-way process. So, if we really want to boost performance — and make sure our performance management efforts do not fall on deaf ears — we need to look beyond feedback givers to consider what makes a good feedback receiver, as well.
The good news is that effective feedback receivers — like feedback givers — are made, not born. It demands a set of skills that can be acquired through practice. And the earlier you start building those skills, the bigger impact it will have on your long-term performance and career.
One critical area for individuals to work on is self-awareness. Not only does this make you more receptive to feedback from others, but it also promotes a mechanism for more objective self-assessment.
Another critical area is resilience. Why? Because feedback, however constructive, is a form of adversity. The more resilient you are, the better equipped you will be to handle — and benefit from — regular, honest feedback.
Our research tells us there are some key enablers of successful performance management transformation in terms of the culture and work environment, the process fundamentals, the traits and thought processes of feedback givers, and the resilience and self-awareness of feedback receivers. Get all these interdependent elements right and you will have gone a long way to driving individual and leader accountability for great feedback conversations.
We’ll leave the last words to one of our participants, Patsy Rodenburg OBE, Head of Voice at the Guildhall School of Music and Drama in London, who provided us with a perfect description of the kind of performance management interaction we should all be aiming for:
“You can’t say, ‘Come into my office and you sit on that chair and I’ll sit here.’ You have to have a tremendous amount of respect for the person. There’s got to be a humanity in that moment when two people are present together.”
Download the full performance management whitepaper for more a detailed breakdown of our research and to discover the key steps organizations can take to create a performance management process and culture that enables individuals and teams excel.
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The purpose of performance reviews is two-fold: an accurate and actionable evaluation of performance, and then development of that person’s skills in line with job tasks. For recipients, feedback has intrinsic and extrinsic value. Across fields, research shows that people become high performers by identifying specific areas where they need to improve and then practicing those skills with performance feedback.
Dissatisfaction with performance appraisals is pervasive. They are seen as time-consuming, demotivating, inaccurate, biased, and unfair. A McKinsey survey indicates most CEOs don’t find the appraisal process in their companies helps to identify top performers, while over half of employees think their managers don’t get the performance review right. A Gallup study is more negative: Just one in five employees agreed that their company’s performance practices motivated them.
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Impact of green work–life balance and green human resource management practices on corporate sustainability performance and employee retention: mediation of green innovation and organisational culture.
Research gap and problem, 2. literature review, 2.1. theoretical framework, 2.1.1. amo theory, 2.1.2. social exchange theory (set), 2.2. ghrm practices and csp, 2.3. ghrm practices and er, 2.4. gwlb and csp, 2.5. gwlb and er, 2.6. ghrm practices and gi, 2.7. gi and csp, 2.8. gi and er, 2.9. gwlb and gi, 2.10. ghrm practices and oc, 2.11. oc and csp, 2.12. oc and er, 2.13. gwlb and oc, 2.14. mediating role of gi between ghrm practices, gwlb, and csp, 2.15. mediating role of gi between ghrm practices, gwlb and er, 2.16. mediating role of oc between ghrm practices, gwlb, and csp, 2.17. mediating role of oc between ghrm practices, gwlb, and er, 3. methodology, 3.1. data and sampling, 3.2. measurement, 4. analysis and results, 4.1. reliability and validity, 4.2. common method bias, 4.3. discriminant validity, 4.4. hypothesis results, 4.5. gi and oc as mediator, 5. discussion, 5.1. conclusions, 5.2. practical contribution, 5.3. theoretical contribution, 5.4. limitations and future recommendations, author contributions, institutional review board statement, informed consent statement, data availability statement, acknowledgments, conflicts of interest.
Click here to enlarge figure
Variable | Items | Source of Scale |
---|---|---|
GHRM Practices | 10 | [ , ] |
Green Work–Life Balance | 6 | [ ] |
Organizational Culture | 7 | [ ] |
Green Innovation | 6 | [ , ] |
Corporate Sustainability Performance | 9 | [ , ] |
Employee Retention | 5 | [ ] |
Demographics | Category | Frequency | Percentage (%) |
---|---|---|---|
Gender | Male | 263 | 58.44 |
Female | 187 | 41.55 | |
Marital Status | Single | 210 | 46.7 |
Married | 240 | 53.3 | |
Age Group | 25–30 | 113 | 25.11 |
31–35 | 107 | 223.7 | |
36–40 | 117 | 26.0 | |
41–45 | 51 | 11.33 | |
46–50 | 62 | 13.7 | |
Education | Diploma | 70 | 15.55 |
Bachelor’s | 132 | 29.33 | |
Master’s | 229 | 50.80 | |
PhD | 19 | 4.22 | |
Experience | 0–5 | 112 | 24.88 |
5–10 | 171 | 38.0 | |
10–15 | 103 | 22.88 | |
16 and over | 64 | 14.22 | |
Position | Top level | 146 | 32.44 |
Middle level | 216 | 48.0 | |
Line manager | 40 | 8.8 | |
Entry level | 48 | 10.66 |
Variable | Items | Loadings | CR | AVE |
---|---|---|---|---|
GHRM Practices | GHRM1 | 0.911 | 0.903 | 0.812 |
GHRM2 | 0.883 | |||
GHRM3 | 0.906 | |||
GHRM4 | 0.844 | |||
GHRM5 | 0.856 | |||
GHRM6 | 0.857 | |||
GHRM7 | 0.821 | |||
GHRM8 | 0.903 | |||
GHRM9 | 0.857 | |||
GHRM10 | 0.876 | |||
Green Work–Life Balance | GWLB1 | 0.860 | 0.892 | 0.723 |
GWLB2 | 0.903 | |||
GWLB3 | 0.867 | |||
GWLB4 | 0.823 | |||
GWLB5 | 0.843 | |||
Organizational Culture | OC1 | 0.890 | 0.884 | 0.721 |
OC2 | 0.885 | |||
OC3 | 0.844 | |||
OC4 | 0.862 | |||
OC5 | 0.843 | |||
OC6 | 0.893 | |||
OC7 | 0.886 | |||
Green Innovation | GI1 | 0.847 | 0.907 | 0.743 |
GI2 | 0.843 | |||
GI3 | 0.889 | |||
GI4 | 0.890 | |||
GI5 | 0.877 | |||
GI6 | 0.867 | |||
Corporate Sustainability Performance | CSP1 | 0.901 | 0.911 | 0.763 |
CSP2 | 0.891 | |||
CSP3 | 0.834 | |||
CSP4 | 0.889 | |||
CSP5 | 0.891 | |||
CSP6 | 0.911 | |||
CSP7 | 0.893 | |||
CSP8 | 0.863 | |||
CSP9 | 0.876 | |||
Employee Retention | ER1 | 0.663 | 0.890 | 0.753 |
ER2 | 0.877 | |||
ER3 | 0.844 | |||
ER4 | 0.870 | |||
ER5 | 0.845 |
GHRM | GWLB | OC | GI | CSP | ER | |
---|---|---|---|---|---|---|
GHRM | 0.789 | |||||
GWLB | 0.503 | 0.843 | ||||
OC | 0.522 | 0.670 | 0.834 | |||
GI | 0.503 | 0.540 | 0.574 | 0.851 | ||
CSP | 0.489 | 0.603 | 0.530 | 0.573 | 0.882 | |
ER | 0.477 | 0.577 | 0.489 | 0.520 | 0.677 | 0.799 |
DISCRIMINANT VALIDITY (HTMT) | ||||||
GHRM | 0.722 | |||||
GWLB | 0.619 | 0.695 | ||||
OC | 0.556 | 0.654 | 0.731 | |||
GI | 0.672 | 0.671 | 0.568 | 0.689 | ||
CSP | 0.543 | 0.490 | 0.443 | 0.661 | 0.730 | |
ER | 0.712 | 0.690 | 0.680 | 0.560 | 0.653 | 0.551 |
Paths | Coefficient | SD | T-Value | p-Values | Decision |
---|---|---|---|---|---|
GHRM Practices → Corporate Sustainability Performance | 0.421 | 0.035 | 12.029 | 0.000 | Accepted |
GHRM Practices → Employee Retention | 0.120 | 0.065 | 1.846 | 0.068 | Rejected |
Green Work–Life Balance → Corporate Sustainability Performance | 0.067 | 0.052 | 1.288 | 0.201 | Rejected |
Green Work–Life Balance → Employee Retention | 0.567 | 0.044 | 12.886 | 0.000 | Accepted |
GHRM practices → Green Innovation | 0.324 | 0.038 | 8.526 | 0.000 | Accepted |
Green innovation → Corporate Sustainability Performance | 0.461 | 0.034 | 13.559 | 0.000 | Accepted |
Green innovation → Employee Retention | 0.362 | 0.042 | 8.619 | 0.000 | Accepted |
Green Work–Life Balance → Green innovation | 0.556 | 0.075 | 7.413 | 0.000 | Accepted |
GHRM Practices → Organizational Culture | 0.362 | 0.062 | 5.839 | 0.000 | Accepted |
Organizational Culture → Corporate Sustainability Performance | 0.443 | 0.066 | 6.712 | 0.000 | Accepted |
Organizational Culture → Employee Retention | 0.362 | 0.051 | 7.098 | 0.000 | Accepted |
Green Work–Life Balance → Organizational Culture | 0.399 | 0.045 | 8.867 | 0.000 | Accepted |
Paths | Coefficient | SD | T-Value | p-Values | Decision |
---|---|---|---|---|---|
GHRM Practices → Green Innovation → Corporate Sustainability Performance | 0.350 | 0.070 | 5.000 | 0.002 | Accepted |
Green Work–Life Balance → Green innovation → Corporate Sustainability Performance | 0.280 | 0.065 | 4.308 | 0.004 | Accepted |
GHRM Practices → Green Innovation → Employee Retention | 0.320 | 0.068 | 4.706 | 0.001 | Accepted |
Green Work–Life Balance → Green innovation → Employee Retention | 0.290 | 0.060 | 4.833 | 0.003 | Accepted |
GHRM Practices → Organizational Culture → Corporate Sustainability Performance | 0.400 | 0.075 | 5.333 | 0.000 | Accepted |
Green Work–Life Balance → Organizational Culture → Corporate Sustainability Performance | 0.310 | 0.062 | 5.000 | 0.002 | Accepted |
GHRM Practices → Organizational Culture → Employee Retention | 0.360 | 0.073 | 4.932 | 0.001 | Accepted |
Green Work–Life Balance → Organizational Culture → Employee Retention | 0.305 | 0.066 | 4.621 | 0.004 | Accepted |
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Lin, Z.; Gu, H.; Gillani, K.Z.; Fahlevi, M. Impact of Green Work–Life Balance and Green Human Resource Management Practices on Corporate Sustainability Performance and Employee Retention: Mediation of Green Innovation and Organisational Culture. Sustainability 2024 , 16 , 6621. https://doi.org/10.3390/su16156621
Lin Z, Gu H, Gillani KZ, Fahlevi M. Impact of Green Work–Life Balance and Green Human Resource Management Practices on Corporate Sustainability Performance and Employee Retention: Mediation of Green Innovation and Organisational Culture. Sustainability . 2024; 16(15):6621. https://doi.org/10.3390/su16156621
Lin, Zi, Hai Gu, Kiran Zahara Gillani, and Mochammad Fahlevi. 2024. "Impact of Green Work–Life Balance and Green Human Resource Management Practices on Corporate Sustainability Performance and Employee Retention: Mediation of Green Innovation and Organisational Culture" Sustainability 16, no. 15: 6621. https://doi.org/10.3390/su16156621
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Last Updated: August 7, 2024 | Read Time: 8 min
In 2024, 14% of adults in the U.S. workforce work from home all the time ( USA Today ). By 2025, experts predict that number will go up to 20%. The rise of remote work is having a major impact on professional relationships. There are plenty of upsides to this, but it’s not black-and-white. In fact, a new form of favoritism is becoming more prevalent in the workplace: proximity bias.
Proximity bias is the tendency of business leaders to favor people who are physically closer to them. For example, an executive based in New York might give plum assignments to an employee they see in the Manhattan office every day, instead of considering a high performer who lives in Los Angeles.
Unlike more overt forms of bias – like racism or sexism – proximity bias can be extremely hard to identify. It’s often unconscious, and it’s circumstantial. An employee can’t change their ethnicity, but they could move to a new city or switch to an in-office schedule at any time. Proximity bias may not be as visible or well-understood as other forms of discrimination, but its impact can be just as detrimental.
This form of bias relates to the misperception that remote workers are less productive. The “seeing is believing” mentality can lead to an “out of sight, out of mind” approach to managing remote or hybrid teams. That leads to a massive and damaging disconnect between the work being done and the way managers perceive it. According to the Harvard Business Review , “remote workers get promoted less often than their peers, despite being 15% more productive on average.”
As organizations continue to embrace flexible work arrangements, the potential for proximity bias has grown significantly. Below are some examples of how it can manifest in the workplace, and strategies for mitigating its effects to create a more equitable and inclusive work environment for all employees, regardless of their physical location.
Because this is a new concept for many, it can be hard to recognize proximity bias in action. Here are some situations to look out for in the workplace:
It’s easy to confuse proximity bias with similarity bias, but they have some important differences. Similarity bias – also called affinity bias – is the tendency to favor people who share your characteristics or experiences. Both biases can lead to favoritism and even discrimination, but they have slightly different causes. To address either one, HR should know how to distinguish between them.
When you can recognize the difference between proximity bias vs. similarity bias, you can address the issue at hand. As remote and hybrid work get more popular, HR should develop strategies to combat these forms of bias.
The best way to address proximity bias is a little different for every organization. Use these ideas to get started, and tailor them to suit your company’s needs.
Start by collecting data on key metrics that could be impacted by proximity bias. You could look at promotion rates, project assignments, and participation in social events across local and remote teams. Analyze your findings to identify potential disparities.
If you have workers in different areas of the country, designate local culture champions to organize group events. They could secure a co-working space, plan an outing to a baseball game, or just host a monthly team dinner. These in-person activities help build community and foster a sense of belonging.
Schedule virtual team-building events. These could be lectures by experts or inspirational speakers, book clubs, coffee chats, happy hours, or anything that aligns with your company culture. Give employees the chance to connect with each other, both one-on-one and in small groups.
Educate your managers and executives about proximity bias. In these training sessions, give them practical strategies to counteract it. Encourage them to hold each other accountable for supporting both local and distant team members.
Develop objective, specific criteria to measure employee performance. These metrics should apply equally to all employees, regardless of their location. Transparency is key here. When your entire team knows what’s expected of them, they can work toward shared and individual goals more easily.
As a virtual-first organization, we understand firsthand how proximity affects working relationships. HR tools like Talent Development can improve communication across any distance. Our performance review tools foster a culture of feedback, helping managers connect with employees. Other features, like the recognition tool, help geographically distant team members build relationships with each other. Employees can publicly recognize one another for achievements, automatically notifying leaders of each other’s best work.
In addition to our suite of HCM software, Paycor’s resources can support HR leaders as they develop processes to interrupt bias.
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