market-sizing

Defensible market sizing separates sourced facts from assumptions by applying top-down, bottom-up, or value-based models to calculate TAM, SAM, and SOM with transparent tracking and source validation. This framework ensures auditable estimates grounded in real evidence.

Validating market sizing assumptions requires verifying inputs against live company data warehouses, public benchmarks, and semantic layers. This source-backed approach ensures your estimates are grounded in authoritative evidence rather than unsubstantiated projections.

Sensitivity analysis communicates uncertainty in opportunity sizing by testing high-impact assumptions and assigning clear confidence labels. This process identifies which missing data points would most improve estimate accuracy for stakeholders.

Structuring market boundaries for bottom-up opportunity analysis requires defining scope before selecting appropriate sizing models. A structured framework guides you through separating sourced facts from assumptions to ensure transparent, evidence-based calculations.

This market sizing approach works for investment due diligence by enforcing structured scope definition, source verification, and transparent assumption tracking. It produces auditable estimates of market and opportunity size with clear uncertainty communication.

You should prioritize validation roadmaps for low-confidence market inputs after completing sensitivity analysis of high-impact assumptions. This identifies exactly which missing data points would most improve your estimate's accuracy.