Agent skill · product strategy · borghei
value-proposition-canvas
Strategyzer Value Proposition Canvas (Customer Profile + Value Map) with fit validation across problem-solution, product-market, and business-model dimensions. Use for jobs-to-be-done, pains/gains, and product-market-fit framing.
Why this skill is useful
Provides a structured approach to customer profiling and value mapping that the AI wouldn't reliably generate on its own.
What it needs
About 4k tokens when loaded. Last updated 2026-07-21. 462 stars on the source repository.
What this skill does
Value Proposition Canvas Expert Overview The Value Proposition Canvas (VPC) is the canonical Strategyzer tool for designing and testing the fit between what customers care about and what your product offers. It is the "zoom-in" companion to the Business Model Canvas, focused on the two most failure-prone blocks: Customer Segments and Value Propositions. Where the Business Model Canvas asks "is this a viable business?", the VPC asks "are we building something customers actually want?" The canvas has two sides. The Customer Profile describes the customer's world in their language -- jobs they are trying to do, pains they experience, and gains they aspire to. The Value Map describes the product's response -- the products and services offered, the pain relievers they include, and the gain creators they enable. Fit is achieved when the Value Map mirrors the Customer Profile element-by-element. The method follows Alexander Osterwalder and Yves Pigneur's Value Proposition Design (2014). Core Capabilities Customer Profile construction -- jobs (functional/social/emotional), pains, and gains, each ranked (importance, severity x frequency, desirability). Value Map construction -- products & services, pain relievers, and gain creators, each mapped to a specific profile element. Three-level fit validation -- problem-solution fit (interviews), product-market fit (behavior), business-model fit (unit economics). Artifacts -- markdown canvas template, worked example, and a fit-validation checklist that flags strong/partial/absent fit. When to Use Pre-PRD framing -- validate the value proposition and customer profile before writing requirements. Solution refinement -- diagnose whether weak traction is a wrong-segment (Customer Profile) or wrong-response (Value Map) problem. New segment expansion -- build a separate VPC per segment to test fit. Pricing and packaging -- pains/gains rank-ordering informs which features go in which tier. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills borghei/value-proposition-canvas