Gather Primary Evidence and Venture Inputs
Collect primary qualitative data from target beneficiaries, customer research, market benchmarks, and existing regulatory frameworks. Audit internal venture assumptions regarding unit economics, willingness-to-pay, and impact attribution.
Assembling validated empirical inputs grounds the impact narrative in verifiable reality. It prevents the founder from relying on unsubstantiated assumptions or secondary industry hype.
Compile a verified repository of user interviews, beneficiary pain-point logs, pricing benchmarks, and regulatory impact standards. Each input must be explicitly tagged with a source, confidence score, and date of collection.
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 proportion of your beneficiary data comes from direct primary interviews versus secondary desk research?
- 2
How have you verified that target paying customers actually care about the social impact you are delivering?
- 3
Which specific data inputs regarding beneficiary needs contain the highest degree of unverified assumption?
- 4
How do existing regulatory standards or ESG frameworks validate the problem you have documented?
- 5
What conflicting evidence did you uncover during data collection, and why did you choose to discount it?