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biz-researcher

Consolidate business research into a structured evidence brief with sources and uncertainties.

9|Updated Aug 20, 2025
Search Tags:#research#evidence#uncertainty#decision-making#sources#hypothesis-testing
One-click install
npx skills add https://github.com/mae616/ai-template --skill biz-researcher
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: biz-researcher
Source: https://github.com/mae616/ai-template/tree/main/.claude/skills/biz-researcher
Command: npx skills add https://github.com/mae616/ai-template --skill biz-researcher

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams structure and visualize business research by organizing primary and secondary sources to support decision-making, while avoiding unverified quotes and speculative claims.

Core Features & Use Cases

  • Evidence-first analysis: It prioritizes sources, shows provenance, and separates facts, hypotheses, and uncertainties.
  • Decision-support output: Produces a concise brief that highlights confidence levels and recommended next steps.
  • Use Case: For a market-entry hypothesis, it compiles market size, competitors, and pricing signals with citations.

Quick Start

Ask the AI to assemble a source-backed brief for a given business hypothesis, including cited evidence, uncertainties, and next research steps.

Frequently Asked Questions about biz-researcher

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

FAQPage Schema
How do I organize business research evidence for executive decision-making?▼

You can compile cited market size, competitor, and pricing signals by consolidating primary and secondary business information into a source-backed brief that labels confidence levels and outlines next research steps.

What is the best way to structure market research with confidence levels and source traceability?▼

The best way to structure market research with confidence levels and source traceability is to enforce provenance by prioritizing sources, separating verified facts from hypotheses, and clearly labeling uncertainties in a concise decision-support brief.

Can I use this approach for competitive analysis and pricing hypothesis validation?▼

Yes, you can apply this evidence-first analysis approach to competitive analysis, pricing, market segmentation, and hypothesis validation to visualize what is known, what is uncertain, and what to investigate next.

How do I avoid unverified quotes and speculative claims when assembling a business research brief?▼

To avoid speculative claims when assembling an evidence brief, prioritize source provenance, separate verified facts from hypotheses, and explicitly label uncertainties to ensure all business information remains traceable.

What are the limitations of evidence-first business research briefs?▼

A limitation of evidence-first business research briefs is that they require available primary and secondary sources to function, meaning conclusions remain constrained by existing data quality and explicitly acknowledged uncertainties.

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