Collate Market Intelligence and Historic Rejection Data
Aggregate internal CRM data, churn logs, lost-deal notes, and market research on non-consumers to inform the discovery process. Synthesise existing touchpoints and competitor switching dynamics to identify patterns in historic prospective customer drop-offs.
Gathering these inputs equips the founder with empirical context before entering live discovery conversations. It prevents repeating previous mistakes and ensures the parent task builds directly upon historical market signals and baseline data.
The founder must assemble a structured input digest containing documented lost-deal analysis, churn records, and competitive displacement data. The summary must highlight recurring themes across historical non-conversions.
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 historical lost-deal or churn data have you integrated into this discovery plan to avoid repeating past misinterpretations?
- 2
How robust is your baseline evidence that these target non-customers actually experience the problem you intend to solve?
- 3
Which specific market dynamics or competitor moves are currently driving prospective buyers into non-consumption?
- 4
How have you verified that your previous sales rejections were not simply the result of poor lead qualification or wrong channels?
- 5
What gaps remain in your existing data regarding the true switching costs non-customers face when evaluating your category?