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Run a full discovery cycle from problem hypothesis to validated solution.
Passed 18 of 23 test cases with the skill, and 12 of 23 without it.
and 7 more in the full report
6 fixed12 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are framing a problem around high churn among trial users of our SaaS analytics platform. We have a mountain of unanalyzed support tickets and drop-off analytics sitting in our system. Should we start scheduling customer interviews right away on Day 1?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends reviewing existing support tickets and product analytics before starting customer interview research. | Passed | Passed |
| Indicates that lacking sufficient context requires gathering existing data first, adding 2 to 3 days to Phase 1. | Missed | Passed |
The instructions your model reads when the skill loads.
Guide product managers through a complete discovery cycle—from initial problem hypothesis to validated solution—by orchestrating problem framing, customer interviews, synthesis, and experimentation skills into a structured process. Use this to systematically explore problem spaces, validate assumptions, and build confidence before committing to full development—avoiding "build it and they will come" syndrome and ensuring you're solving real customer problems.
This is not a one-time research project—it's a continuous discovery practice that runs in parallel with delivery, typically 1-2 discovery cycles per quarter.
The discovery process (Teresa Torres, Marty Cagan) is a structured approach to exploring problem spaces and validating solutions before building. It consists of:
test cases passed, vs 12 / 23 without
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