Value Proposition Canvas
Maps jobs, pains and gains from evidence, and flags every square that was filled in from imagination.
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Running it, start to finish
- Bring real research, not just the team's beliefs.
- Check the evidenced-to-assumed ratio before acting on it.
- Test the three cheapest assumptions before building.
What you get back
The output this produces, every time.
- Marks every item as evidenced or assumed, which is the difference between research and confident guessing.
- Includes emotional and social jobs, which are frequently the real driver and usually omitted.
- Compares against what they do today rather than against nothing.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Read the ratio in section 4. If most of the canvas is assumption, label it a hypothesis before anyone plans a roadmap from it.
- Look hardest at unexpected gains. Required and expected gains are table stakes. Differentiation lives almost entirely in the third category.
- Be honest about partial fit. A product does not relieve every pain, and claiming it does produces messaging the product cannot support.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.