🧭 Engineering Leadership · People Management
Calibrate performance reviews fairly
Evidence-based reviews with bias checks and consistent leveling across teams.
advanced~45 minEngineering ManagersTech LeadsStaff Engineers
Steps
- 1Collect evidence continuously, not from last-month memory
- 2Score against written level expectations, not peer comparison
- 3Check for bias patterns: recency, likability, visibility of work
- 4Calibrate across managers with anonymized examples
- 5Separate compensation conversations from growth conversations
- 6No surprises rule: anything in the review was said when observed
Common Pitfalls
- ▲Rockstar-effect inflating visible work over critical invisible work
- ▲Reviews as annual surprise attack
Commands
Install with skills CLI
$ npx skills add aniruddhaadak80/skills --skill people-management-performance-calibrationInstall globally
$ npx skills add aniruddhaadak80/skills --skill people-management-performance-calibration -gTags
#performance#reviews#fairness#engineering-leadership#people-management