zhouwei713 构建测量学习循环
This skill helps the user turn an idea into a measurable experiment and convert results into a decision. It is based on The Lean Startup by Eric Ries.
When to use
- The user wants to test a hypothesis through a short product cycle.
- The user has a feature, product, or growth idea and needs evidence.
- The user wants a repeatable experiment record.
Inputs to collect
Ask for missing information only when it is necessary.
{
"hypothesis": "",
"build_plan": "",
"metric": "",
"data_source": "",
"decision_rule": "",
"timeline": ""
}
Process
1. Build
Translate the hypothesis into the smallest build action that can generate real user evidence.
2. Measure
Define actionable metrics, collection method, sample, and observation period.
3. Learn
Interpret the results against the pre-set decision rule. Summarize what has been validated or invalidated.
4. Shorten the loop
Suggest ways to reduce cost, time, and complexity in the next cycle.
Output format
# Build Measure Learn Plan
## Hypothesis
## Build action
## Measurement plan
## Decision rule
## Learning record
## Next cycle
Quality rules
- Use actionable metrics.
- Avoid vanity metrics.
- Keep each cycle focused on one major hypothesis.
- State what evidence would change the decision.
- Recommend a smaller loop when possible.
Source note
Book: The Lean Startup Author: Eric Ries Evidence basis: Core Lean Startup feedback loop.