Collate Quantitative and Qualitative Venture Evidence
Aggregate historical financial models, cap tables, churn analyses, customer cohorts, pipeline reports, and leadership CVs required for institutional scrutiny. Extract raw operational metrics directly from verified primary sources and billing systems.
Completing this step creates a single source of truth grounded in verifiable operational data. It eliminates speculative assertions from your investor pitch and ensures all subsequent narrative points are fully audit-proof.
A centralised repository containing verified financial models, cap table schedules, cohort retention tables, customer contracts, and hiring roadmaps must be assembled. All quantitative claims must be backed by extractable system data and audited accounts.
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
How do you reconcile discrepancies between your internal sales CRM pipeline numbers and audited bank statements?
- 2
What raw customer cohort data supports your assumptions regarding long-term net retention?
- 3
Why do you assume your historical CAC trends will hold as you scale sales channels past Seed metrics?
- 4
How verifiable are the IP assignment agreements and corporate governance documents currently in your repository?
- 5
What missing operational inputs represent the highest risk of derailing a formal due diligence process?