Advocate for Career Growth with Data
Use Case. Share it with the roles that have interest in that.
This is a sensitive area that, if handled poorly, can lead to micromanagement. But used carefully, data can support fair, constructive career growth discussions.
1. Group Key Metrics by Contributor
➡️ Where: Contributor Insights
Build a table of key metrics per contributor to compare patterns.
➡️Suggested metrics:
- Impact
- KSI
- Churn
- Help Others
- Unreviewed PRs
Step 2: Identify What Top Performers Do
➡️ Look at the behaviours of consistently strong contributors:
- Balanced coding and reviewing
- High-impact changes
- Active in helping others
Step 3: Share Insights as Suggestions, Not Scores
➡️Use what you learn to guide conversations:
- “These are traits we often see in strong performers.”
- “Here’s what’s working well—maybe it’s worth trying.”
Avoid turning it into a ranking or performance scoreboard.
Updated 2 days ago