State one tested direction
Describe the hypothesis or product direction so evidence is assessed against a specific claim.
EVIDENCE-BASED PRODUCT DECISION
Pivot-or-Persevere Framework
Combine experiment evidence, target achievement, product trends, repeated learning, and runway into a transparent recommendation.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
Combine the decision signals
Evidence and target achievement contribute 25% each, retention 25%, activation 15%, and repeated learning 10%.
Choose a bounded next move
The output recommends persevering to a milestone, running a narrower test, or defining one focused pivot hypothesis.
Continue learning: Customer discovery as a development decision gate · Digital product evidence others can verify
Frequently asked questions
Does a low score mean the company should shut down?
No. It indicates weak support for the entered direction, not a full company valuation or financing decision.
What is a focused pivot?
Change one material hypothesis—such as audience, problem, channel, value proposition, or model—so the next evidence is interpretable.
Why does retention carry more weight than activation?
Activation can show initial value, while retention adds evidence that the value repeats. Both still depend on reliable measurement.
How does runway affect the score?
Runway does not change evidence support. It changes the recommended size and timing of the next test.
How We Compare
| Feature | MVPHub | Strategyzer | Miro |
|---|---|---|---|
| Weighted evidence-support score | Included | Limited | Limited |
| Activation and retention trend inputs | Included | Limited | Limited |
| Runway-aware next step | Included | Limited | Limited |
| Instant single-decision result | Included | Limited | Limited |
Strategyzer provides business-model testing methods and experiment workflows. Miro provides collaborative canvases and workshop templates. MVPHub calculates one decision signal from manually entered evidence and is not a collaborative research repository.
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