People Management Performance Calibration

---
name: people-management-performance-calibration
description: "Evidence-based reviews with bias checks and consistent leveling across teams."
---
# Calibrate performance reviews fairly

> Evidence-based reviews with bias checks and consistent leveling across teams.

**Track:** 🧭 Engineering Leadership · **Domain:** People Management · **Level:** advanced · **~45 min**

**Who this is for:** Engineering Managers, Tech Leads, Staff Engineers, CTOs

## When to Use This Skill

Evidence-based reviews with bias checks and consistent leveling across teams.
Use it whenever a matching task appears in conversation — the agent loads these instructions on demand.

## Steps

1. Collect evidence continuously, not from last-month memory
2. Score against written level expectations, not peer comparison
3. Check for bias patterns: recency, likability, visibility of work
4. Calibrate across managers with anonymized examples
5. Separate compensation conversations from growth conversations
6. No 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**
```bash
npx skills add aniruddhaadak80/skills --skill people-management-performance-calibration
```

**Install globally**
```bash
npx skills add aniruddhaadak80/skills --skill people-management-performance-calibration -g
```

---

Part of [aniruddhaadak80/skills](https://github.com/aniruddhaadak80/skills) · Browse all at https://skills.sh/aniruddhaadak80/skills