Success Metrics as Narratives
summary
Argues that raw headcounts mislead and proposes a practical workflow: set event-specific goals and gather before/during/after narratives tied to baselines, not lone metrics; recommends report ranges not absolutes (example: meetup conversion often 10–30% so 30% is outstanding), and to use tools like feedback collection and sentiment analysis to surface qualitative signals alongside numbers. Useful if wanting concrete steps to reframe metrics into context and to prove whether an activity truly worked.
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chapters (13)
- 0:00Intro
- 0:55Numbers Need Units
- 2:18What Looks Successful
- 5:37Numbers are not effective storytellers
- 9:46Language
- 12:04Events
- 16:16Feedback
- 17:37Evaluation Needed
- 22:04Asking Questions
- 23:20Asking Feedback
- 24:32Red Flags
- 25:41Evaluation
- 25:55After Events
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