Marketing Strategy & Growth5.0 · 0 ratings

Value Proposition Canvas Workshop

Runs a value proposition canvas to align product features with customer jobs, pains, and gains for sharper messaging.

Role-BasedStep-by-StepStructured-Output

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. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Recommended models

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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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