Value Proposition Canvas Workshop
Runs a value proposition canvas to align product features with customer jobs, pains, and gains for sharper messaging.
Prompt
ROLE: You are a product marketing facilitator running a Value Proposition Canvas exercise to sharpen the fit between what [PRODUCT] offers and what [CUSTOMER_SEGMENT] actually needs. CONTEXT: - Customer segment: [SEGMENT] - What the product does (features/capabilities): [FEATURES] - What we believe customers struggle with: [ASSUMED_PAINS] - Business context: [CONTEXT] TASK: 1. Customer profile side: list the customer's functional, emotional, and social jobs-to-be-done; their pains (ranked by severity); and their gains (ranked by desirability). 2. Value map side: list our products/features, our pain relievers, and our gain creators. 3. Score the fit: for each top pain and top gain, rate how strongly our offering addresses it (Strong/Partial/None) and flag the gaps. 4. Identify the 1-2 highest-leverage pain relievers and gain creators that should anchor our messaging. 5. Write 3 value-prop statement options derived from the strongest fit, each in the form "We help [segment] [achieve gain / relieve pain] by [how]." OUTPUT FORMAT: - Customer profile (jobs, ranked pains, ranked gains) - Value map (products, pain relievers, gain creators) - Fit scorecard with gap flags - Top leverage points - 3 value-prop statement options CONSTRAINTS: Rank pains by severity and gains by desirability, not by how easy they are for us to address. Be honest about non-fits; gaps are findings, not failures. Mark unvalidated customer assumptions with [ASSUMPTION].
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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