Storytelling with Data
summary
Provides four practical strategies and a compact evaluation framework that focuses on outcomes not vanity metrics, proposing a 3–4 metric minimum tied to business goals. Recommends concrete tools and flows: MailChimp+Zapier+Clearbit into Google Sheets for developer segmentation, cookie-based paths to estimate time-to-first-API-call, and tracking contributions to GitHub and blog posts as advocacy. Notes 63 candidate metrics catalogued and cites Atlassian’s marketplace model (25% revenue share yielding $62.5M on $250M sales) as a measurable revenue outcome.
AI-written summary · about
chapters (8)
- 0:00Introduction and setup
- 2:13Stories to tell with data
- 3:58Common API metrics today
- 7:31Measuring developer journeys
- 11:26Yap model for developer funnels
- 15:44Building a data framework
- 20:59Retention and revenue metrics
- 24:09Summary and next steps
