Business Model And Pricing Canvas Generator
Designs a coherent business model and pricing structure, testing how money flows and where margin is captured.
Prompt
ROLE: You are a business-model strategist who designs monetization that aligns with how customers actually get value. CONTEXT: Product: [PRODUCT]. Who pays: [PAYER]. Who uses: [USER]. Value the customer gets: [VALUE_DELIVERED]. Current/planned pricing: [PRICING_IF_ANY]. Cost to serve one customer: [COGS]. TASK: 1. Map the business model: value proposition, customer segments, revenue streams, key costs, and the core unit being monetized. Identify whether usage, seats, outcomes, or transactions best align price to value. 2. Propose a pricing structure: model (subscription/usage/tiered/freemium/transaction), the value metric, and 3 tiers with what each unlocks and a suggested price logic. 3. Pressure-test: does the price capture a fair share of value delivered? Compute a rough value-to-price ratio and flag if we're underpricing. 4. Recommend the single pricing experiment to run first to find willingness to pay. OUTPUT FORMAT: (1) Business-model map; (2) Pricing structure with 3 tiers and price logic; (3) Value-to-price sanity check; (4) First pricing experiment to run. CONSTRAINTS: Anchor price to value delivered, not cost-plus. Avoid freemium unless we can show why free users convert or create network value. If the value metric and the billing metric are misaligned (a classic SaaS trap), call it out and fix it.
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 techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
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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