Gather Financial Models and Underlying Economic Data
The founder consolidates all existing unit economics data, pricing models, revenue forecasts, and financial projections into a single reviewable workspace. They collate supporting evidence for gross margins, customer acquisition costs, lifetime value, and operational cost structures across target customer segments.
Completing this action gathers every current assumption and empirical datapoint regarding the venture's financial model into one place. It ensures the venture-scale economics review is conducted on full, transparent data rather than fragmented or outdated spreadsheets.
The founder must present a structured financial package containing the current unit economic model, customer acquisition cost calculations, lifetime value estimates, and operational cost projections. All underlying sources, historical trading data, or market benchmark references must be explicitly attached.
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 these financial inputs relies on live operational data versus theoretical market benchmarks?
- 2
How have you accounted for variance between your initial unit economic assumptions and actual observed transaction data?
- 3
Why are specific indirect costs excluded from your baseline customer acquisition cost calculations?
- 4
Where is the explicit link between your pricing tiers and the actual cost-to-serve per segment documented?
- 5
How recent are the underlying cost inputs, and do they reflect current inflationary and supply chain realities?
