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Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn.
Passed 18 of 22 test cases with the skill, and 15 of 22 without it.
and 6 more in the full report
7 fixed11 passed either way0 still failing4 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am preparing to pitch our B2B SaaS startup's initial launch roadmap to investors. We currently plan to measure total user signups and page views over six months, and build our full core feature set before launching a marketing campaign. Could you audit our launch strategy using Lean Startup principles? Please output an overall score out of 10, evaluate our metric choices, identify our unvalidated assumptions, and pinpoint which specific area we need to fix first.
| Checked | Without skill | With skill |
|---|---|---|
| The response provides an overall score out of 10 evaluated against diagnostic criteria. | Passed | Passed |
| The response explicitly names the lowest-scoring diagnostic row to fix next. | Missed | Passed |
| The response identifies total user signups and page views as vanity metrics. | Passed | Passed |
The instructions your model reads when the skill loads.
A systematic approach to building startups and launching new products that shortens development cycles and rapidly discovers whether a business model is viable.
Entrepreneurship is a form of management. Success doesn't require a perfect plan or brilliant insight—it requires a systematic process for testing assumptions, learning from customers, and iterating rapidly. Most startups fail not because they couldn't build what they planned, but because they built the wrong thing: treat every plan as a set of hypotheses to falsify, and spend effort to eliminate waste and accelerate validated learning, not to execute a fixed roadmap.
Goal: 10/10. Score a plan, experiment, or metric set by the five Quick Diagnostic rows—1 point each when the answer is yes, 2 points when it is also backed by evidence on the Validation Ladder (Level 3+):
State the current score and the lowest-scoring diagnostic row to fix next.
The fundamental cycle: IDEAS → BUILD (product) → MEASURE (data) → LEARN (knowledge) → back to IDEAS.
Critical insight: Plan the loop backward:
Goal: Minimize total time through the loop.
See references/build-measure-learn.md when planning an experiment—reverse-planning sequence, an experiment-design template, per-product-type loop examples, and the build/vanity-metric loop traps.
Learning what customers really want through experiments on real behavior—not feature requests, surveys, or focus groups (people mispredict their own behavior). Measure what customers do, not what they say, and run experiments that could falsify your assumptions. Vanity wins (downloads, signups without engagement) are not learning.
The Validation Ladder:
| Level | Evidence | Strength |
|---|---|---|
| 1 | "I think customers want this" | Weakest (opinion) |
test cases passed, vs 15 / 22 without
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