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Market Research Analysis

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manojbajaj95
market-research-analysis

Comprehensive market research and analysis skill. Use when sizing markets, conducting competitive analysis, generating professional market research reports, analyzing consumer behavior, or identifying market opportunities. Activates for: market research, market analysis, market report, TAM SAM SOM, market sizing, industry analysis, market landscape, competitive landscape, market trends, consumer research, Porter's Five Forces, PESTLE, SWOT, BCG Matrix, McKinsey-style report, consulting report, market opportunity, industry report, due diligence, M&A analysis, GTM market analysis, product-market fit validation.

Overview

Publishermanojbajaj95
Repositoryclaude-gtm-plugin
Skill namemarket-research-analysis
Stars
109
Forks
34
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by manojbajaj95 on GitHub. Read the source before you install it.

Installation

Install the Market Research Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/market-research-analysis
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/manojbajaj95/claude-gtm-plugin.git /tmp/claude-gtm-plugin
mkdir -p .claude/skills
cp -r /tmp/claude-gtm-plugin/skills/market-research-analysis .claude/skills/market-research-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Market Research Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Market Research Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Market Research Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Market Research & Analysis

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

Expert market research skill — from market sizing and competitive analysis through consumer research and professional consulting-grade reports with LaTeX formatting and visual generation.


Quick Start

Choose your workflow:

  1. Market Sizing — TAM/SAM/SOM calculations
  2. Competitive Analysis — Landscape mapping and positioning
  3. Consumer Research — Surveys, interviews, behavior analysis
  4. Professional Report — 50+ page consulting-style report with LaTeX + visuals

Market Sizing (TAM → SAM → SOM)

Step 1: Define Scope

  • Product/service being analyzed
  • Geography (target regions)
  • Customer segment (who specifically)
  • Time frame (current year or 5-year projection)

Step 2: Calculate TAM (Top-Down)

TAM = Total market demand at 100% market share
= (Total potential customer base) × (avg contract value)

Data sources: Gartner, Forrester, IBISWorld, government statistics, trade associations

Step 3: Calculate SAM

SAM = Portion of TAM you can realistically serve
Apply filters: geographic constraints, product limitations, customer size constraints
Typically 5-20% of TAM

Step 4: Calculate SOM

SOM = Realistic near-term market share (1-3 years)
Conservative benchmarks:
  Year 1: 0.1-0.5% of SAM
  Year 2: 0.5-2% of SAM
  Year 3: 1-5% of SAM

Step 5: Bottom-Up Validation

Bottom-up = (realistic target customers) × (conversion rate) × (ACV)
If top-down SOM / bottom-up > 3x → revisit top-down assumptions

Competitive Landscape Analysis

Competitor Categories

TypeDefinitionExample
DirectSame product, same customerAsana vs Monday.com
IndirectDifferent product, same problemAsana vs Excel
SubstituteAlternative way to address needAsana vs consultants
PotentialCould enter market easilyMicrosoft, Google

Competitive Intelligence Sources

  • Company websites (pricing, features, positioning)
  • App store reviews (G2, Capterra — look for "appears X times" keywords)
  • Crunchbase (funding, valuation, growth trajectory)
  • Job postings (what they're investing in)
  • LinkedIn (employee count trends, key hires)
  • Gartner Magic Quadrant (market positioning)

Positioning Map Template

Create a 2D matrix:

  • X-axis: Price (Low → High)
  • Y-axis: Feature complexity / target segment (Simple → Advanced)

Plot all competitors. Look for gaps — unserved or underserved quadrants = market opportunity.


Core Analysis Frameworks

Porter's Five Forces (rate each High / Medium / Low)

  1. Threat of New Entrants — Barriers to entry, capital requirements, brand loyalty
  2. Supplier Power — Concentration, switching costs, substitute inputs
  3. Buyer Power — Concentration, price sensitivity, switching costs
  4. Threat of Substitutes — Alternatives, switching costs, price/performance tradeoff
  5. Competitive Rivalry — Number of competitors, industry growth, differentiation

PESTLE Analysis

DimensionKey Questions
PoliticalRegulatory environment, trade policies
EconomicGrowth rates, inflation, currency risks
SocialDemographics, consumer behavior shifts
TechnologicalDisruptive technologies, R&D activity
LegalCompliance requirements, IP landscape
EnvironmentalSustainability trends, regulations

SWOT + BCG Matrix

For competitive landscape: map competitors on BCG Matrix (market growth vs market share) to identify Stars, Cash Cows, Question Marks, Dogs.


Consumer Research

Survey Design

Van Westendorp Pricing: Ask customers 4 questions to find optimal price point:

  1. At what price is this too expensive to consider?
  2. At what price is this so cheap you doubt the quality?
  3. At what price does this start to feel expensive (but not off the table)?
  4. At what price is this a great value/bargain?

Plot cumulative % — OPP (Optimal Price Point) = intersection of "too expensive" and "too cheap."

Anti-pattern: Never use leading questions ("Don't you think our innovative product..."). Always include negative response options.

Interview Framework

For qualitative research:

  • Define clear research objectives first
  • Minimum 5-10 interviews for directional insight, 15-20 for patterns
  • Focus on jobs to be done and pain points, not feature preferences
  • Capture verbatim language — exact phrases are more valuable than summaries

Quality Checklist

  • Research objectives clearly defined and measurable
  • Sample is representative of target market
  • Mix of qualitative (why) and quantitative (how many) methods
  • No leading or biased questions
  • Insights are actionable, not just "interesting facts"
  • Limitations acknowledged

Professional Market Research Reports

Generates consulting-grade reports (50+ pages) modeled on McKinsey, BCG, Gartner deliverables.

Report Structure (~66 pages target)

Front Matter (~5 pages): Cover page · Table of Contents · Executive Summary (investment thesis, key findings, top 5 recommendations)

Core Analysis (~35 pages):

ChapterPagesKey Frameworks
Market Overview & Definition4-5Industry structure
Market Size & Growth6-8TAM/SAM/SOM, regional breakdown
Industry Drivers & Trends5-6PESTLE, driver impact matrix
Competitive Landscape6-8Porter's Five Forces, positioning matrix
Customer Analysis4-5Segmentation, customer journey
Technology & Innovation4-5Technology roadmap, adoption curve
Regulatory & Policy3-4Regulatory timeline
Risk Analysis3-4Risk heatmap, mitigation matrix

Strategic Recommendations (~10 pages): Opportunity matrix · Implementation roadmap · Investment thesis

Back Matter (~5 pages): Methodology · Data tables · Company profiles · Bibliography

Visual Generation (generate 6 priority visuals first)

bash
# Batch generate all core visuals
python scripts/generate_market_visuals.py \
  --topic "[MARKET NAME]" --output-dir figures/
PriorityVisualTool
1Market growth trajectoryscientific-schematics
2TAM/SAM/SOM concentric circlesscientific-schematics
3Porter's Five Forcesscientific-schematics
4Competitive positioning matrix (2×2)scientific-schematics
5Risk heatmapscientific-schematics
6Executive summary infographicgenerate-image

LaTeX Compilation

bash
# Initialize project structure
writing_outputs/YYYYMMDD_HHMMSS_market_report_[topic]/
├── drafts/v1_market_report.tex  ← use assets/market_report_template.tex as base
├── figures/
├── references/references.bib
└── final/

# Compile
cd drafts/
xelatex v1_market_report.tex && bibtex v1_market_report
xelatex v1_market_report.tex && xelatex v1_market_report.tex

Use \usepackage{market_research} (from assets/market_research.sty).

Colored box environments:

latex
\begin{keyinsightbox}[Key Finding]...\end{keyinsightbox}       % blue
\begin{marketdatabox}[Market Snapshot]...\end{marketdatabox}   % green
\begin{riskbox}[Critical Risk]...\end{riskbox}                 % orange
\begin{recommendationbox}[Recommendation]...\end{recommendationbox} % purple

See assets/FORMATTING_GUIDE.md for complete LaTeX reference. See assets/market_report_template.tex for the full report template.

Report Quality Standards

  • Data: No older than 2 years; all statistics attributed; projections state assumptions
  • Writing: Specific numbers over vague qualifiers; insights first, then data; active voice
  • Visuals: 300 DPI minimum; colorblind-friendly palette; all axes/legends labeled; sources in captions
  • Length: 50+ pages — if under, expand appendix data tables and add regional breakdowns

Pre-Submission Checklist

  • Cover page, ToC, List of Figures, Executive Summary
  • All 11 chapters present (no placeholder sections)
  • 6 core visuals generated and rendering
  • All statistics sourced; projections include assumptions
  • PDF compiles without errors; cross-references work
  • Page count >50

References & Assets

  • scripts/generate_market_visuals.py — Batch visual generation for reports
  • assets/market_research.sty — LaTeX style package
  • assets/market_report_template.tex — Full report template
  • assets/FORMATTING_GUIDE.md — Complete LaTeX formatting reference
  • references/report_structure_guide.md — Detailed chapter-by-chapter guidance
  • references/data_analysis_patterns.md — Analysis patterns and common calculations
  • references/visual_generation_guide.md — Visual creation workflows

Related Skills

  • marketing-strategy — Market opportunity within product strategy
  • go-to-market-strategy — Applying market research to launch planning
  • pricing-strategy — Using market research for pricing decisions

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Market Research Analysis AI skill do?

Comprehensive market research and analysis skill. Use when sizing markets, conducting competitive analysis, generating professional market research reports, analyzing consumer behavior, or identifying market opportunities. Activates for: market research, market analysis, market report, TAM SAM SOM, market sizing, industry analysis, market landscape, competitive landscape, market trends, consumer research, Porter's Five Forces, PESTLE, SWOT, BCG Matrix, McKinsey-style report, consulting report, market opportunity, industry report, due diligence, M&A analysis, GTM market analysis, product-mar...

Why use Market Research Analysis on TypingMind?

Because you install it once and use it with any model. Market Research Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Market Research Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/market-research-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Market Research Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Market Research Analysis?

As many as you like. As long as a model supports skills, you can use Market Research Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Market Research Analysis AI skill free?

Yes. It is published on GitHub by manojbajaj95 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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