Public Metrics
Track these monthly in CHANGELOG.md.
Core metrics
- Active contributors (unique merged PR authors)
- Merged mission/content PRs
- Learner progression signals (mission completion and return rate)
Decision metrics for funders and pilot partners
- 14-day learner return rate — % of learners with a second session within 14 days
- Median missions completed per active learner — program momentum
- Confidence / belonging signal — short post-session self-report from learners
- Contribution behavior — issues opened, PRs opened, or missions authored by pilot participants
- Inclusion signal — whether learners felt welcomed, confused, included, or excluded
Data capture (manual baseline)
- GitHub PR activity for contributor and merge counts
- Optional anonymized learner snapshots from pilot cohorts
- Local save-file exports with
python export_learner_data.py --data-dir <dir>
- Retention rollups with
python measure_retention.py --data-dir <dir>
- Post-session facilitator notes using the pilot feedback template
Use one monthly entry with:
- Metrics table (current month vs previous month)
- What improved
- What regressed
- Next experiment
Minimum monthly evidence bundle
CHANGELOG.md metrics entry- At least one pilot or cohort note when a cohort is active
- One contributor/community signal (new mission author, new reviewer, translation help, accessibility feedback, etc.)