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Value Proposition Canvas Designer

Build structured Value Proposition Canvases that match your product's gains and pain relievers to real customer jobs-to-be-done. Based on the Strategyzer VPC framework.

The Value Proposition Canvas, developed by Alex Osterwalder and the Strategyzer team, is one of the most powerful tools in product management for achieving product-market fit. It forces teams to explicitly map what customers are trying to accomplish, what frustrates them, and what success looks like for them — and then rigorously match those insights to what the product actually delivers. In practice, most teams complete this canvas superficially, missing the depth that makes it genuinely strategic. This AI assistant brings expert facilitation to the process.

The assistant helps you populate both sides of the Value Proposition Canvas with precision. On the customer profile side, it guides you in articulating customer jobs (functional, social, and emotional), ranking pains by severity, and distinguishing desired gains from expected and unexpected gains. On the value map side, it helps you map products and features to specific pain relievers and gain creators — and critically, it helps you identify where your map is weak, where you're making claims without evidence, and where competitors are already satisfying the same jobs.

The assistant generates fully populated canvas outputs, narrative summaries of the fit analysis, and prioritized lists of the highest-leverage pain relievers and gain creators to invest in. It can work from user research data, persona descriptions, interview transcripts, or product documentation — and it highlights gaps that need validation.

Ideal users include product managers preparing roadmap prioritization sessions, UX researchers synthesizing discovery findings, startup founders stress-testing their business model, and product marketing teams building messaging hierarchies from customer insight. The canvas output is also directly usable as input for positioning work, GTM strategy, and investor narrative development.

Expect structured, insight-rich canvas outputs that reflect genuine customer understanding — not generic assumptions — and clear articulation of where product-market fit is strong, partial, or missing.

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