Favouritism in reviews costs you your best people. Here's how to prevent favouritism in performance reviews with structural changes HR can implement now.
Marketing Lead
May 6, 2026
•
3 Mins Read
Favouritism in performance reviews does not usually start with a deliberate choice — it starts with a manager who knows some team members better than others. Over time, those small interpretive differences compound into rating gaps that have nothing to do with actual performance. The damage is real: eroded trust, inflated ratings for the wrong people, and your strongest performers quietly looking for the exit. This article covers the structural design changes HR can make to prevent favouritism in performance reviews before it takes root.
It starts with a manager who knows some team members better than others. Who socialises with some employees and not with others. Who interprets ambiguous performance the way a friend would and the way a stranger would not. Over time, those small interpretive differences compound into significant rating gaps that have nothing to do with actual performance.
The problem is structural, not moral. Building a fair performance review process means addressing the structural conditions that allow bias to grow, not just responding after trust has broken down. This article covers the preventive design changes that make favouritism harder to sustain, before it damages trust and before your best people start looking elsewhere.
When employees submit a self-assessment before the manager rates them, two things happen. First, the manager is forced to respond to the employee's account of their own performance, which creates an obligation to engage with evidence the employee provides. Second, discrepancies between self-assessment and manager rating are visible to HR and trigger a conversation.
Without self-assessment, the manager's rating is an unchecked first draft. With it, the rating is a response to a shared starting point.
A manager's rating of a favoured employee is almost always more positive than the same employee's peer ratings. Multi-rater feedback surfaces that discrepancy and gives HR concrete evidence of bias in performance reviews before any rating is finalised. When the gap between manager rating and peer feedback is significant, HR has a concrete data point to investigate.
Talstack's 360 Feedback feature enables this by collecting structured peer, manager, and self-feedback against defined competencies. The output gives HR visibility into rating consistency before any formal review is finalised.
The most direct structural intervention against favouritism is a rule: any rating of above expectations requires a specific, written example before it is accepted into the final record. Generic praise ("she is a great team member") does not qualify.
When managers know they must justify above-expectations ratings with specifics, the most obvious favouritism is self-corrected before calibration because the manager cannot produce the evidence.
Beyond checking for bias outliers, calibration should include an explicit fairness check: are there demographic patterns in the rating distribution that suggest systemic favouritism? If all the above-expectations ratings go to employees of the same gender, ethnic background, or tenure band, that is a fairness signal that requires investigation.
This check requires HR to have some demographic data attached to the rating distribution. In African companies where this data may be sensitive, the analysis can be done at a team level without exposing individual data.
In small organisations where an employee has been managed by the same person for three or more years, the risk of favouritism is highest. The manager has had time to build a strong positive impression that may not be fully evidence-based.
Where possible, cross-functional input should be sought for employees who have limited visibility to other leaders. This does not require formal rotation, but it does require HR to actively seek out people who can provide additional perspective on a long-tenured employee's performance.
Three actions in sequence: acknowledge it directly in a team context if it is widely known (vague denials make it worse), revise the process so the structural conditions that allowed it are visibly changed, and demonstrate in the next cycle that the new process produces different outcomes. Trust is rebuilt through consistent experience, not promises.
A manager who rates a well-known team member highly because they have more evidence of that person's performance is not showing favouritism, they are benefiting from proximity to evidence. Favouritism is when the positive evidence is interpreted more charitably, gaps are overlooked more generously, or the rating standard applied is more lenient for some employees than others. The difference is in the standard applied, not the evidence available.
