Most people quietly think performance management is broken. Is it — or is it just being done badly?

Most people quietly think performance management is broken. Is it — or is it just being done badly?

Almost every organisation runs some version of it — goals, reviews, ratings, a compensation conversation — and almost everyone complains about it. The instinct, when it isn't working, is to change the machinery: simplify the ratings, shorten the review form, buy new software, split the pay talk from the performance talk. The live decision isn't whether to have performance management. It's whether the thing you're frustrated with is the system itself — or the way it's being run. Those point to very different fixes, and only one of them works.

The frustration is real and widespread — but so is the payoff when it's done well. A large McKinsey Global Survey of managers and executives (summarised below in our own words — see Sources; we don't reproduce McKinsey's text or exhibits) found that more than half of respondents said their organisation's current system has no positive effect, or a negative one, on either employee or company performance, and two-thirds had already changed something in the previous 18 months without consensus on what to fix. Yet among organisations whose systems were rated effective, 60% had outperformed peers over the previous three years — nearly three times the share with ineffective systems. So the problem isn't performance management as an idea; it fails on one specific dimension.

That dimension is perceived fairness — and this is where the independent evidence is strongest. In the McKinsey survey, whether people experienced the system as fair correlated most closely with good outcomes (60% of those who saw it as fair called it effective overall, versus 7% who didn't). That isn't a McKinsey idiosyncrasy: a 25-year meta-analytic review of organisational-justice research (Cohen-Charash & Spector, 2001 — 190 study samples, 64,757 participants) found that of the justice dimensions, procedural justice — the perceived fairness of the process — is the one most strongly tied to job performance and to counterproductive behaviour. Fairness of process, not the rating curve, is the hinge. Three manager practices build it.

Practice 1 — link goals to priorities, and revisit them. In the McKinsey data, where individual goals were tied to strategy, 46% reported effective performance management versus 16% where they weren't, and among effective systems 62% revisit goals at least twice a year. The underlying goal-setting science supports this: specific, concrete, appropriately challenging goals are reliable motivators that lift performance more than vague ones (Höchli, Brügger & Messner, 2018, Frontiers in Psychology; Höpfner & Keith, 2021, Frontiers in Psychology). But the same research carries a warning that maps onto the "revisit" point — over-narrow goals can produce tunnel vision, and missing a fixed goal damages motivation and effort — which is exactly why goals that are revisited as conditions change stay fair and useful rather than punitive.

Practice 2 — coach, don't just rate. McKinsey found effective coaching was the single strongest driver of perceived fairness, yet fewer than 30% of respondents said their managers actually do it; where managers coach well, 74% called the system effective, versus 15% where they don't. Crucially, this is trainable, not a fixed trait: a randomised, waitlist-controlled trial of managerial behavioural training (Grill, 2025, PLoS ONE; 49 managers, 439 employees) found employees whose managers were trained reported significantly greater improvement in their managers' performance-feedback behaviour (β = 0.30, p = 0.04) — and the gain held across the full 18-month follow-up. Manager coaching capability, the thing most often missing, is the thing you can most directly build.

Practice 3 — differentiate pay by performance. Fewer than half of McKinsey's respondents said pay meaningfully varied by performance level; where it did, 54% rated the system effective versus 16% where it didn't, and separating pay conversations from the review itself helped further (47% vs 30%). Organisations strong on all three practices were 12 times likelier to report an effective system than those doing none. Technology helped at the margin; the fairness practices carried the weight.

The real split isn't "keep ratings vs kill ratings." It's whether you treat performance management as a form to optimise or as a fairness problem to solve — the second is where the outperformance sits.

Don't redesign the form — build the fairness. Performance management isn't failing because the rating scale is wrong; it's failing where people don't believe the process is fair, and fairness is manufactured by three concrete manager behaviours, not by a better template.

• What to rely on: goals that visibly connect to strategy and get revisited; managers who actually coach and give ongoing feedback — a capability you can train; and pay that meaningfully reflects performance. Do all three and the effect compounds.
• What to avoid: treating a software upgrade or a shorter form as the fix; one-and-done annual goals and over-narrow high-stakes targets; and "differentiation" that exists on paper but not in anyone's paycheck.
• The point that matters: the biggest lever is the least glamorous — manager capability. Fewer than a third of managers coach well, it's the strongest driver of perceived fairness, and a randomised trial shows it can be built. Start there.

1. Ask the fairness question directly. In your next skip-level or engagement pulse, ask whether people believe the performance process is fair — that one answer predicts more than your rating distribution does.
2. Trace three goals to the strategy. Pick three employees and check whether their current goals visibly connect to a business priority — and when they were last revisited. If you can't draw the line, neither can they.
3. Audit manager coaching, not just manager ratings. Find out how many of your managers hold regular development conversations. If it's under a third, that's your real bottleneck — and it's trainable.
4. Check whether pay actually differentiates. Compare rewards for your strongest and weakest performers. If they're barely different, your "high performers" are learning that performance doesn't pay.
5. Separate the pay talk from the review. Splitting the "how did you do" conversation from the "here's your number" conversation is a small change that measurably helped.

The Gulf's Vision-2030 organisations already speak the language of measurement — KPIs, targets, benchmarking are everywhere — which is an advantage: a culture comfortable with "show me the number" is halfway to a disciplined performance system. But measurement is not the same as fairness, and hard targets are the part the goal-setting evidence warns about most when they are rigid and high-stakes. Rapidly scaling companies, heavy reliance on newer or first-time managers, and large mixed-nationality workforces all raise the stakes on the two factors that matter most here — whether people experience the process as fair, and whether managers coach rather than merely score. The move for Gulf leaders isn't more sophisticated forms; it's building manager capability so the measurement culture the region already has is also felt as fair.

Honest scope: the integrating survey here is McKinsey's, summarised with permission — self-reported and correlational, not causal. The justice meta-analysis and the goal-setting studies are international and not performance-management-specific; the randomised trial is on manager training and feedback behaviour, not directly on firm performance; and none is Gulf-specific. The Gulf read-across is our argued interpretation. Treat the percentages as strong signal, not settled fact.

Featured source — summarised with McKinsey's written permission (original, own-words summary; no McKinsey text quoted and no exhibits reproduced; McKinsey named as the source with a direct link, per the permission granted 2026-07-10):

• McKinsey & Company, Harnessing the power of performance management (McKinsey Global Survey) — original. Effective performance management hinges on perceived fairness; three practices drive it — linking goals to priorities, manager coaching, and pay differentiation — and organisations strong on all three are 12x likelier to report an effective system.

Library / open-licensed sources (Creative Commons; the peer-reviewed evidence behind the mechanisms):

• Grill, M. (2025), Recognizing employees' contribution to effectiveness and values: A randomized waitlist-controlled trial of operant-based leadership training, PLoS ONE, 20(4):e0320131 — original · licence: CC BY 4.0. Randomised, waitlist-controlled trial (49 managers, 439 employees): training significantly improved employees' ratings of their managers' performance-feedback behaviour (β = 0.30, p = 0.04), sustained over 18 months — manager coaching capability is trainable.
• Höchli, B., Brügger, A. & Messner, C. (2018), How Focusing on Superordinate Goals Motivates Broad, Long-Term Goal Pursuit: A Theoretical Perspective, Frontiers in Psychology, 9:1879 — original · licence: CC BY. Challenging, specific, concrete goals are powerful motivators that boost performance more than vague ones — while narrow subordinate goals risk an overly narrow focus of attention.
• Höpfner, J. & Keith, N. (2021), Goal Missed, Self Hit: Goal-Setting, Goal-Failure, and Their Affective, Motivational, and Behavioral Consequences, Frontiers in Psychology, 12:704790 — original · licence: CC BY. Specific, high goals are among the best-established tools for lifting performance and motivation — but failing a goal carries real affective and motivational costs, a caution against rigid, high-stakes targets.

Cited findings (named and linked, not republished — these do not carry an open licence):

• Cohen-Charash, Y. & Spector, P. E. (2001), The Role of Justice in Organizations: A Meta-Analysis, Organizational Behavior and Human Decision Processes, 86(2), 278–321 — publisher. Across 190 study samples (64,757 participants), procedural justice was the justice dimension most strongly related to job performance and counterproductive work behaviour. Cite-only.
• Locke, E. A. & Latham, G. P. (2002), Building a Practically Useful Theory of Goal Setting and Task Motivation, American Psychologist, 57, 705–717 — ERIC EJ654871. The foundational synthesis behind "specific and challenging goals outperform vague goals." Cite-only.

Two related Peoplense briefs that put the same "is this practice actually working?" lens on performance:

• Should we grade performance on a bell curve? — what forced distribution does to fairness and motivation.
• Should we remove performance ratings? — the ratings-free debate, measured.