Measuring the Impact of Community Events
summary
Red Hat experiments with measurable tactics: create collateral and landing pages tied to QR codes, track badge scans and booth traffic via event apps, and run sentiment and language analysis on follow‑up discussion groups. Success metrics include landing‑page conversion rates, swag pickup patterns (hats and battery chargers vs. fidget spinners), and explicit goals like measure contributor growth by 5% in a year. Project CHAOSS metrics inform health signals; the team avoids crude dollar attribution and instead tracks onboarding and sustained contributor activity.
AI-written summary · about
chapters (8)
- 0:00Introduction and background
- 1:25Defining community events and ROI
- 3:12Challenges of measuring impact
- 5:00Why direct ROI is hard to measure
- 7:29Justifying event investments
- 13:10Creating measurable outcomes
- 17:50Maximizing event benefits
- 22:32Q&A on swag and ROI
related talks
39mMeasuring the Impact of Community Events
43mBuilding and Supporting Open Source Communities Through Metrics
34mCommunity Data: What to Measure and Why?
46mMeasuring Community Health
26mBuilding & Supporting Open Source Communities Through Metrics
30mCommunity Metrics What to Measure and Why?
27mCommunity Data is Not Community Metrics
36mCommunity Data: What to Measure and Why?