tam-sam-som-calculator

Generate citation-backed TAM, SAM, and SOM estimates through adaptive multi-turn prompts covering problem space, geography, and industry segments. Receive a structured markdown analysis with documented assumptions and validation questions to prioritize product lines or validate business cases.

Build defensible market sizing by guiding product managers through structured prompts that document assumptions and validation steps. This process outputs citation-backed TAM, SAM, and SOM estimates in a reusable markdown template, ensuring transparent and defensible product strategy sessions.

You can use the included deterministic Python helper script for quick math alongside the guided adaptive prompts. This combination ensures your TAM, SAM, and SOM calculations remain consistent and accurate across different product lines and scenarios.

Adaptive market sizing uses four multi-turn questions that adjust based on your inputs to capture specific geography, industry segments, and target customers. It provides relevant examples and quick-select options to refine B2B or B2C estimates accurately.

The limitations of validating business cases with these estimates depend on the accuracy of your inputs for problem space and target customers. While the adaptive prompts document assumptions, the final SOM calculations require external validation of the provided citation-backed data.