Learning objective
By the end of this lesson, you can identify the assumptions most capable of breaking a business model and define evidence that would change a decision.
Why it matters
A complete canvas can look authoritative even when every block is speculative. The visual neatness hides a critical distinction:
- what the team knows;
- what it assumes;
- what current evidence contradicts;
- what nobody has investigated.
The canvas becomes useful when it directs learning and choice.
Core concept: coherence before confidence
First ask whether the model is coherent:
For a defined customer, can we create and deliver the promised value through this operating system at sustainable economics?
Then assess confidence. Label each important note:
- Observed
- Assumed
- Contradicted
- Unknown
Prioritise a test when an assumption is both:
- important enough to damage the model if wrong;
- weakly supported by current evidence.
Visual explanation
Text alternative: assumptions with weak evidence and high consequence receive first priority. Strong-evidence, high-consequence claims are monitored; low-consequence claims are deferred or checked cheaply.
Worked example
LedgerLane proposes cash-flow forecasts for restaurants:
| Claim | Block | Evidence | Consequence if wrong |
|---|---|---|---|
| Owners will pay €99/month | Revenue Streams | Three positive interviews | High |
| Accountants will refer clients | Channels / Partners | No partner interviews | Medium |
| One analyst can review 80 accounts | Activities / Costs | Spreadsheet estimate | High |
| Bank feeds contain usable data | Resources / Activities | One sample account | High |
The strongest first test combines the last two claims: run a concierge pilot with five real accounts and measure data-cleaning time, forecast usefulness and analyst effort.
Another interview asking “Would you pay €99?” is weak evidence because it does not expose delivery cost or real commitment.
Common mistake
Mistake: testing the easiest assumption rather than the one that can break the model.
A logo preference test may be simple, but it should not precede a test of whether the promised service can be delivered at the target price.
Quick check
Which assumption should normally be tested first?
A. A low-impact wording preference with no evidence.
B. A high-impact unit-economics claim supported only by a rough estimate.
C. A well-measured legal requirement that cannot be changed.
D. The colour of an internal presentation.
Answer: B. It combines high consequence with weak evidence.
Practical prompt
Choose one model option and list five assumptions. For each, score:
- consequence if wrong: 1–5;
- evidence strength: 1–5;
- next test;
- decision threshold.
Select the first test and explain what decision it could change.
Summary
- A canvas is a model, not proof.
- Check the links across blocks before scoring confidence.
- Test weak, high-consequence assumptions first.
- A useful test includes a decision threshold.
Next lesson
Continue to Customer Journey Mapping: Build an Evidence Spine to see how a service model becomes an actual experience.