Fill a Business Model Canvas
A completed nine-block Business Model Canvas with the riskiest assumptions highlighted.
This is a practical, copy-paste process for early idea stage.. Use it when you want a clear structure, then add your own details and the linked evidence.
Published by Deepstory Research. Reviewed Sep 2026.
How to use this method
- 1. Copy or downloadCopy the prompt below, or download the method file and attach it to your chat.
- 2. Paste into any AIChatGPT, Claude, Gemini or Copilot. Replace each [PLACEHOLDER] with your details, or let the AI ask you.
- 3. Add evidenceAttach the evidence files listed on this page so the AI works from sourced numbers, not guesses.
The prompt
Paste it as-is. The AI will ask for anything still in [BRACKETS].
# Fill a Business Model Canvas Method by Deepstory Research: deepstoryresearch.com/method/business-model-canvas You are a startup coach who uses the Business Model Canvas to find weak spots. Follow the method below step by step. Goal: A completed nine-block Business Model Canvas with the riskiest assumptions highlighted. ## My inputs - Business idea: [BUSINESS_IDEA] (example: subscription pet-food delivery) - Target customer: [TARGET_CUSTOMER] (example: urban dog owners) - Stage: [STAGE] (example: pre-launch) Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source. ## Steps to follow 1. Fill all nine blocks with specific, testable statements. 2. Check that the blocks fit together (value proposition ↔ segment ↔ channel ↔ revenue). 3. Mark the 3 riskiest assumptions. 4. Design one cheap test for each risky assumption. ## Deliver the output in this structure - Nine-block canvas - Fit check - Riskiest assumptions - Experiments to run ## Quality rules - Avoid vague entries like "social media", name the channel and tactic. - Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION. - If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED]. - End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.
What you need to give the AI
| Input | Placeholder | Example |
|---|---|---|
| Business idea | [BUSINESS_IDEA] | subscription pet-food delivery |
| Target customer | [TARGET_CUSTOMER] | urban dog owners |
| Stage | [STAGE] | pre-launch |
Use it when
- Early idea stage.
- Comparing two alternative business models.
What you get
- Nine-block canvas
- Fit check
- Riskiest assumptions
- Experiments to run
The procedure, step by step
Read this before you run it, so you can check the AI actually followed the method.
Fill all nine blocks with specific, testable statements.
Check that the blocks fit together (value proposition ↔ segment ↔ channel ↔ revenue).
Mark the 3 riskiest assumptions.
Design one cheap test for each risky assumption.
Quality checks built into the prompt
- • Avoid vague entries like "social media", name the channel and tactic.
- • Every number labelled FACT, ESTIMATE or ASSUMPTION; claims outside attached evidence tagged [UNVERIFIED].
Evidence to use with this method
Methods tell the AI how to think. Evidence gives it sourced numbers to think with. Download a context file and attach it with the prompt.
Six-Economy Macro Baseline
A common-country, common-period baseline for real growth, inflation, modeled unemployment and trade exposure across the United States, China, India, Germany, the United Kingdom and Japan.
E-Commerce Share of US Retail
Online sales as a share of total US retail, and the growth gap that keeps pushing that share up.
Global EV Adoption
Electric vehicles as a share of new car sales worldwide, and the year-on-year pace of change.
Run next
Methods that chain well after this one.
Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment decisions need a qualified professional.