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ChatGPT prompts for a business model canvas

This prompt creates a complete Business Model Canvas and separates facts from assumptions. Use it when shaping a new offer, testing a pivot, or preparing a focused strategy discussion.

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Build an evidence-aware Business Model Canvas for this business. Treat the canvas as a set of testable hypotheses, not a finished business plan. Do not invent market size, customer demand, pricing evidence, partnerships, legal compliance, or unit economics.

[BUSINESS IDEA]
[TARGET CUSTOMER AND USE CASE]
[CURRENT EVIDENCE]
[OFFER AND DELIVERY DETAILS]
[CONSTRAINTS AND GOALS]

Create the nine Business Model Canvas blocks: Customer Segments, Value Propositions, Channels, Customer Relationships, Revenue Streams, Key Resources, Key Activities, Key Partnerships, and Cost Structure.

For every block, provide three parts: the proposed content, the evidence basis (fact, informed assumption, or unknown), and the most important validation question. Keep the content concrete. For example, name the buyer separately from the daily user when they differ; distinguish acquisition channels from fulfillment channels; state whether revenue is subscription, transaction, license, service, or another mechanism; and identify fixed versus variable costs.

Then produce:
1. A one-page canvas table that can be pasted into a workshop document.
2. A dependency map of the three riskiest assumptions that could invalidate the model, why each matters, and the cheapest credible test for each.
3. A 30-day validation plan with customer interviews, a test artifact, success threshold, and decision rule for each week.
4. Five questions a cofounder, investor, or operator would challenge, with evidence needed to answer them.

Before answering, check that every value proposition connects to a named segment and job-to-be-done, and that each revenue stream has a plausible payer and collection mechanism. Ask up to three clarifying questions only if a required input is missing.

Fill in

PlaceholderWhat to enterExample
[BUSINESS IDEA]Describe the product or service, the problem it addresses, and its current stage.A service that helps independent dental practices recall overdue hygiene patients through text and phone outreach.
[TARGET CUSTOMER AND USE CASE]Identify the intended buyer, user, context of use, and alternative they use today.Practice owner is the buyer; front-desk manager is the user; they currently export lists from their practice system and call patients manually.
[CURRENT EVIDENCE]List interviews, sales, pilots, research, costs, or observations you have already gathered.Interviewed 8 practice managers; 3 said recall lists are worked inconsistently; one practice would test a $400 monthly service.
[OFFER AND DELIVERY DETAILS]Describe what customers receive, how it is delivered, and any known pricing or operational details.Monthly recall campaign setup, message templates, call follow-up, and a report; delivery starts as a managed service.
[CONSTRAINTS AND GOALS]State budget, team, timing, geography, regulatory limits, and the decision the canvas should support.Two-person team, $5,000 test budget, U.S. only; decide whether to run a paid pilot within 60 days.

How to use

  1. Paste evidence separately from assumptions so the canvas can label uncertainty accurately.
  2. Check that the buyer, user, and beneficiary are not being collapsed into one customer segment without evidence.
  3. Choose the riskiest assumption from the dependency map and run its test before expanding the plan.
  4. Follow up with: “Turn the first validation test into a five-question interview guide that avoids leading questions.”

Variations

Investor canvas

Use this when preparing for an investor or advisor discussion.

Variation
Create an investor-facing Business Model Canvas for [BUSINESS] based on [EVIDENCE]. Target customer: [CUSTOMER]. Business model details: [MODEL]. Produce the nine blocks, a concise investment thesis, key assumptions, and a metrics appendix listing only numbers provided or clearly labeled targets. Identify two likely investor objections about market, distribution, margins, or defensibility and the evidence needed to address each. Do not present estimates as validated facts. Check that the funding use matches the stage and bottleneck.

Pivot comparison

Use this when choosing between two business directions.

Variation
Compare two Business Model Canvases: [OPTION A] and [OPTION B]. Shared evidence: [EVIDENCE]. Constraints: [CONSTRAINTS]. Create a side-by-side nine-block table, then score each option on evidence strength, time to first revenue, acquisition difficulty, delivery complexity, and regulatory exposure. Explain scoring assumptions and identify the single experiment that would best distinguish the options. Do not choose a winner from unsupported market claims. Check that both options use equivalent evaluation criteria.

Workshop agenda

Use this to run a team canvas session.

Variation
Design a 75-minute Business Model Canvas workshop for [BUSINESS] with participants [PARTICIPANTS] and known facts [EVIDENCE]. Produce a timed agenda, prompts for each of the nine blocks, a parking-lot method for unresolved issues, and a post-session assumptions register. Require participants to label statements as observed, inferred, or unknown. Avoid using the workshop to settle pricing or market-size claims without evidence. Check that each participant has a defined contribution and that decisions have an owner.

Tips

  • Start with a narrow segment and use case; “small businesses” is not actionable enough to choose channels, price, or delivery.
  • A channel is not validated because it exists—separate reach, conversion, sales effort, and cost to acquire a customer.
  • List a partner only when that organization performs a necessary activity or controls a required resource; a hoped-for logo is not a partnership.
  • Run tests that can disprove the model, such as a paid pilot or observed workflow, rather than collecting only positive opinions.

FAQ

Is a Business Model Canvas enough for a business plan?

No. It is a compact model for surfacing assumptions. You may still need financial projections, operating plans, regulatory analysis, and customer evidence.

Can AI estimate market size for the canvas?

It can suggest a research structure, but it should not invent market figures. Use credible sources and show the assumptions behind any estimate.

What should I validate first?

Test the assumption that is both uncertain and fatal: often a painful customer problem, willingness to pay, or access to the buyer.

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