Uncover Evidence Gaps and Critical Assumption Risks
Systematically search for conflicting interview responses, unverified value claims, and hidden behavioural assumptions within the validation data. Highlight areas where customer statements contradict actual observed behaviour or existing purchasing habits.
Completing this action exposes fragile logic, unevidenced assumptions, and critical deal-breaker risks before capital is committed to build. It safeguards the venture from confirmation bias by forcing an explicit confrontation with uncomfortable customer data.
The founder must submit a risk and gap register detailing every unproven assumption, conflicting data point, and potential deal-breaker. This must include an honest assessment of where customer enthusiasm fails to translate into behavioural commitment.
Five questions an expert would ask when reviewing your output
Use these to challenge assumptions, pressure-test your logic, and check the quality of this action's output in the context of the parent task and wider venture development.
- 1
What explicit contradictions exist between what customers said in interviews and how they currently behave?
- 2
Where in the data have you substituted founder intuition or industry consensus for direct customer evidence?
- 3
What is the single most dangerous unverified assumption currently underpinning this problem-solution pair?
- 4
How have you accounted for customer inertia or switching costs that might prevent adoption despite high problem severity?
- 5
Which negative feedback or rejection signals from discovery interviews have been omitted from this analysis?