Collect Quantitative and Qualitative Deal Data
The founder collates pipeline data from the CRM, sales call recordings, buyer emails, and direct post-sale or post-loss interview notes. They ensure both quantitative metrics such as sales cycle length and deal value and qualitative commentary are compiled into a unified dataset.
Compiling robust, multi-source deal inputs ensures the win-loss analysis relies on verified data rather than selective founder memory. It builds a credible foundation of evidence required to make defensible commercial adjustments.
A consolidated deal-audit repository containing raw call transcripts, CRM stage-gate timestamps, and unedited buyer interview notes across a representative sample of won and lost opportunities. The founder must evidence data coverage from both closed-won and closed-lost 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
What percentage of lost deals in this analysis feature direct, unedited feedback from the economic buyer?
- 2
How have you verified that the CRM deal-loss reasons reflect true buyer sentiment rather than rep speculation?
- 3
Is your sample size statistically or strategically meaningful enough to justify major GTM shifts?
- 4
What critical qualitative nuances were captured in buyer interviews that do not appear in your CRM drop-down menus?
- 5
How have you accounted for deal data gaps where buyers simply went silent without giving explicit reasons?