Preventing Random Acts of Metrics

on YouTube ↗36m

" summary

Google's Project Ocean applies a five-step metric process — objectives, observable aspects, baselines, desired trends, signal phenomena — and warns of abstraction traps (framing, portability, formalism, ripple, solutionism). A concrete example models install success for a fictitious Go data library using privacy-safe proxies (downloads, issues, doc patches), notes pitfalls of baselining against the wrong ecosystem, recommends leading and lagging signals (support requests as leading, doc patches as lagging), and points to CHAOSS and research awards for follow-up.

AI-written summary · about

" chapters (6)

1. 0:00Introduction to talk
2. 2:30Open source as socio-technical systems
3. 7:31Algorithmic vs sociotechnical framing
4. 11:02Example Go library metrics
5. 25:54Key takeaways and conclusion
6. 27:00Q&A session

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