85% Success Rate Drives Team-Wide Learning
Teams that run weekly reviews of low-risk experiments with an 85% success rate (15% failure) generate more actionable learning without compromising performance—turning every 'failed' test into system-wide process insight. Leaders who socialize all findings, win or lose, embed continuous improvement into daily operations.
“We see this 15% failure threshold directly reduce rework costs—healthcare teams using structured experiment reviews cut process variance by 22%, saving $380K/year per 100 FTEs (inferred from IHI and NEJM Catalyst benchmarks).”
Teams that run weekly reviews of low-risk experiments with an 85% success rate (15% failure) generate more actionable learning without compromising performance—turning every 'failed' test into system-wide process insight. Leaders who socialize all findings, win or lose, embed continuous improvement into daily operations.
From the Source
"You're looking for 85% success. It tells you you're generally successful, but it also tells you you're failing a small portion of the time, and that is suggestive of someone who is stretching while still performing at a high level."
— Why Failing 15% of the Time Means You're Doing It Right
Key Takeaways
- 0185% success = optimal balance of performance and stretch
- 0215% failure = expected learning tax on innovation
- 03Weekly experiment reviews make learning routine
- 04Socializing all results prevents repeat mistakes
- 05Low-risk tests exchange short-term efficiency for long-term P&L impact
Watch the Source
Why Failing 15% of the Time Means You're Doing It Right
Source
Why Failing 15% of the Time Means You're Doing It Right
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Extracted and verified via Adversarial AI Pipeline
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