Perfect Estimator in Strange New Worlds
summary
A thought experiment uses a Perfect Estimator and automated factories on a 120-hour iteration to show Fibonacci story points force probabilistic mapping: a 4h square becomes 1 point and yields 30 pieces; a 6h hexagon maps to 2 or 3 points proportionally; a 5h pentagon needs randomized rounding (50% 2 / 50% 3) giving 24 pieces and expected 60 points. Conclusion: to keep estimates unbiased teams must inject intentional fuzziness — expect about ±10% fuzziness across a 50-item sprint and use specific rounding distributions (e.g. for 3-point items assign 2 to ~15% and 5 to ~10%).
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chapters (10)
- 0:00Introduction
- 1:04Estimation expectations problem
- 2:13Perfect estimator thought experiment
- 3:40Basic test case
- 4:44Hexagon test case
- 6:31Pentagon real-world challenges
- 7:56Non-Fibonacci tasks
- 9:45Consistent fuzziness
- 11:11Fibonacci scale imprecision
- 12:15Conclusion and key takeaways
