Market Research

Deliver evidence-based market insights with TAM/SAM/SOM sizing and competitor mapping.

Updated Apr 20, 2026
One-click install
npx skills add https://github.com/aspectrr/denchclaw-workspace --skill market-research-aspectrr
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Market Research
Source: https://github.com/aspectrr/denchclaw-workspace/tree/main/skills/market-research
Command: npx skills add https://github.com/aspectrr/denchclaw-workspace --skill market-research-aspectrr

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts unclear market ideas into evidence-based decisions by delivering structured market insights, sizing, and competitive context.

Core Features & Use Cases

  • TAM/SAM/SOM sizing and whitespace mapping to identify opportunity.
  • Competitor landscape, pricing checks, and positioning analysis to inform go-to-market choices.
  • Demand validation and segmentation guidance to prioritize bets.

Quick Start

Provide a compact market sizing and competitor landscape assessment for your target category and make a decision-ready recommendation.

Frequently Asked Questions about Market Research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate TAM, SAM, and SOM sizing for a new market entry?

Market sizing for TAM, SAM, and SOM uses triangulated data from public sources and primary research to replace guesswork with decision-grade evidence. This structured approach maps whitespace opportunities and validates category demand across industries and geographies.

What is the best way to validate demand and segment a target market?

Demand validation applies a structured evidence rubric to primary research and public data, delivering segmentation guidance to prioritize bets. It converts unclear market ideas into evidence-based decisions for your target category.

Can I use market research for competitor mapping and pricing checks across different geographies?

Competitor mapping and pricing checks work across industries and geographies by applying a structured evidence rubric. This process analyzes the competitor landscape and positioning to inform go-to-market choices with decision-ready recommendations.

How do I turn market signals into decision-ready go-to-market recommendations?

Turning market signals into recommendations requires triangulated data from public sources and primary research. The process applies an evidence rubric to sizing, competitor analysis, and pricing checks to output a clear, decision-ready go-to-market suggestion.

Do I need primary research to perform category validation, or are public sources enough?

Category validation requires triangulated data combining both public sources and primary research. Relying solely on public sources is insufficient; the structured evidence rubric demands multiple data points to replace guesswork with reliable insights.