Uncover Strategic Contradictions and Evidence Gaps
Systematically analyse the AI scenario audit results to flag conflicting logic, unsupported assumptions, and unmitigated downside risks. Document where optimistic revenue growth depends on unproven acquisition channels or unrealistic resource deployment. Highlight critical gaps where assumptions lack verifiable backing within the data room.
Completing this action exposes dangerous blind spots, flawed logic, and evidentiary weaknesses in the venture's financial and operational strategy. It safeguards the venture against false confidence by forcing an honest appraisal of critical failure modes.
The founder must generate a comprehensive risk and contradiction register linked to the scenario review. The register must explicitly categorise each identified gap by severity, data availability, and potential cash impact.
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 direct contradictions exist between your projected sales headcount growth and your modelled customer acquisition costs?
- 2
Which core survival assumption relies on the weakest empirical evidence currently in your data room?
- 3
How does the model account for simultaneous operational failures across sales conversion and product delivery?
- 4
Why are key downside risks left unmitigated in the current worst-case scenario model?
- 5
What evidence disproves the assumption that customer churn will remain static during price adjustments?