Market Research Automation

Market research automation skill. Mine user pain points from social media and analyze competitors. Applicable for market validation before product launch, user needs analysis, and competitor feature comparison.

Mine user pain points from social media and analyze competitors. Applicable for market validation before product launch, user needs analysis, and competitor feature comparison.

Trigger Conditions

• Market research
• Competitor analysis
• market research
• competitor analysis
• User research
• survey generation
• TAM SAM SOM
• Market size estimation

Core Capabilities

Capability 1: Market Sizing — TAM/SAM/SOM Three-Layer Model

Estimate the Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) for a target market.

Capability 2: In-Depth Competitor Analysis — Feature/Pricing/User Review Comparison Matrix

Compare multiple competitors across dimensions such as features, pricing, target users, strengths, and weaknesses.

Capability 3: Automatic Generation of User Interview Frameworks and Survey Questionnaires

Automatically generate structured user survey questionnaires based on the research topic.

Usage Workflow

Scenario 1: Market Sizing Research

python3 scripts/market_researcher_tool.py research --market 'AI Writing Tools'

Scenario 2: Competitor Analysis

python3 scripts/market_researcher_tool.py compete --products 'Jasper,Copy.ai,Notion AI'

Scenario 3: Generate Survey Questionnaire

python3 scripts/market_researcher_tool.py survey --topic 'AI Writing Tools'

Command Details

research - Market Research

Purpose: Estimate market size and generate a TAM/SAM/SOM analysis report.

Parameters:

• --market: Market name (required)
• --output, -o: Output file path (optional, defaults to console output)

Example:

python3 scripts/market_researcher_tool.py research --market 'AI Writing Tools' -o report.md

compete - Competitor Analysis

Purpose: Compare features, pricing, and user reviews of multiple competitors.

Parameters:

• --products: List of competitors, comma-separated (required)
• --output, -o: Output file path (optional)

Example:

python3 scripts/market_researcher_tool.py compete --products 'Jasper,Copy.ai,Notion AI,ChatGPT' -o compete.md

survey - Generate Survey Questionnaire

Purpose: Automatically generate a structured user survey questionnaire.

Parameters:

• --topic: Research topic (required)
• --output, -o: Output file path (optional)

Example:

python3 scripts/market_researcher_tool.py survey --topic 'AI Writing Tools' -o survey.md

Output Format

Market Research Report

# 📊 Market Research Automation Report

**Generated on**: YYYY-MM-DD HH:MM

## Key Findings
1. [Key Finding 1]
2. [Key Finding 2]
3. [Key Finding 3]

## Market Size Analysis (TAM/SAM/SOM)
| Metric | Value | Description |
|------|------|------|
| TAM | $XXX Billion | Total Addressable Market |
| SAM | $YYY Billion | Serviceable Available Market |
| SOM | $ZZZ Billion | Serviceable Obtainable Market |

## Actionable Recommendations
| Priority | Recommendation | Expected Outcome |
|--------|------|----------|
| 🔴 High | [Specific recommendation] | [Quantified expectation] |

Competitor Analysis Report

# 🔍 In-Depth Competitor Analysis Report

## Competitor Comparison Matrix
| Product | Pricing | User Rating | Target User | Key Strengths | Main Weaknesses |

## Competitive Strategy Recommendations
| Priority | Recommendation | Expected Outcome |

User Survey Questionnaire

# 📋 User Survey Questionnaire

## Basic Information
**Q1. What is your current job role?**
○ Product Manager ○ Marketing ○ Content Creation ...

## Current Usage
**Q2. How often do you use AI writing tools?**
○ Multiple times daily ○ Once daily ...

## Pain Points and Needs
**Q3. What feature would you most like to see improved in AI writing tools?**
________________________________________

Prerequisites

Install Python dependencies before first use:

pip install requests beautifulsoup4 pandas

References

• X/Twitter API - User discussion data
• Google Trends - Search trend analysis
• Full Market Research Agent Use Case

Notes

• All analysis is based on data obtained by the script; data is not fabricated.
• Missing data fields are marked "Data Unavailable" rather than guessed.
• It is recommended to combine with human judgment; AI analysis is for reference only.
• The current version uses mock data and can be extended to real API calls.