Audit Hypothesis Rigour and Evidence
Critically evaluate the strength of evidence supporting the pricing hypotheses, identifying unvalidated assumptions and logical vulnerabilities. Stress-test the proposed model against low conversion, price resistance, and margin compression scenarios.
Auditing evidence quality exposes critical flaws in pricing logic before exposing hypotheses to live prospective customers. It maximises venture success by ensuring that market testing is backed by sound economic fundamentals and realistic assumptions.
The founder must deliver a completed Pricing Quality and Risk Audit detailing the confidence rating for each pricing assumption, identified failure modes, and mitigation strategies. The audit must explicitly highlight high-risk, low-evidence assumptions that require immediate live testing.
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
Which assumption in your pricing hypothesis carries the highest risk of failure, and what is your immediate mitigation plan?
- 2
What degree of confidence do you truly have in your willingness-to-pay data, given the gap between stated intent and actual purchase behaviour?
- 3
How does your pricing model hold up under a scenario where customer acquisition costs are fifty per cent higher than projected?
- 4
What logical leaps have you made between customer value perception and your proposed monthly subscription fee?
- 5
Why should an investor believe your price point is defensible against aggressive undercut tactics by established competitors?