AI · Prompt
Deep Research Market Analysis Prompt
AI market analysis prompt for sizing TAM, segmenting jobs, and teardowns
This is a detailed, reusable prompt designed for OpenAI Deep Research to run comprehensive market validation on a business idea. It guides the model to scan across articles, reviews, and transcripts to calculate TAM across three methodologies, map customer jobs-to-be-done, and analyze competitors. It outputs a structured report identifying unmet user needs and high-potential product directions.
The prompt
Prompt: "I want to build a business that [idea] for [target market]. My goal is to minimize the time and effort to [core value proposition]. Here is some prior research I have already done. Use this to influence your analysis at the end but DO NOT SKIP out on performing your own research. [insert earlier research from grok3/x]. Analyze content across many articles, podcast transcripts, reddit, App Store reviews, review websites... Thoroughly understand: (1) Total Addressable Market using ALL THREE methods, then combine: Top-Down (industry reports/macro data narrowed to target segments), Bottom-Up (# potential customers x avg revenue per customer), Value Theory (value created x % captured in pricing). (2) Segmented Addressable Market — define 5-7 segments by jobs-to-be-done, not demographics: cluster by circumstances and desired outcomes; for each segment analyze the progress the customer is trying to make, nuances of choices, motivations, triggers; analyze through Functional, Emotional, and Social Value dimensions. (3) Competitive Analysis — top 10 competitors: top 3 core value propositions, primary/unique selling proposition, common complaints, common feature requests. (4) Market Opportunities — tailor product/features/marketing per segment; ideate directions addressing pain points across all three dimensions. Then produce a report: A. High-Level Overview; B. Market Analysis (TAM estimate; Segmented Addressable Markets; Jobs Map per segment — Defining the Job, Identifying Alternatives, Selecting a Solution, Executing the Job, Assessing Outcomes, each broken into functional/social/emotional needs; Key Desired Outcomes & Pain Points — quantify importance vs satisfaction, find high-importance/low-satisfaction gaps; Market Opportunities); C. Competitive Analysis — competitor positioning per jobs-to-be-done, 5-7 framings to capture share, serve underserved markets, keep an edge; D. Conclusion — three best possible product directions. Additional guidelines: skip no sections; spend up to 30 minutes and as much time as permitted, hundreds of sources; ask clarifying questions before starting.
What it's for
- Calculate TAM using top-down, bottom-up, and value-theory methods for a business idea
- Segment potential customers by jobs-to-be-done rather than simple demographics
- Analyze competitor teardowns through customer complaints and missing feature requests
- Identify high-importance, low-satisfaction market gaps to shape product roadmaps
Key points
- Triangulated TAM sizing using top-down, bottom-up, and value-theory models
- Jobs-to-be-done segmentation assessing functional, emotional, and social values
- Deep teardown of 10 competitors analyzing USPs, pain points, and user complaints
- Structured jobs mapping covering solution discovery, execution, and outcome assessment
- Prioritized opportunity identification focusing on high-importance and low-satisfaction gaps
- Specific synthesis into three viable product directions
Pricing
Free
Details
- Type
- Prompt
- Category
- AI
- Topic
- AI Prompts
- Open source
- No
- Platforms
- Web
- For
- Founders, product managers, and researchers validating new business concepts
- Tags
- prompts, market research, deep research, startups, tam, validation
Why it was saved
- @tedx_ai: Concrete, fill-in-the-blank prompt encoding a rigorous market-research methodology: three TAM methods, jobs-to-be-done segmentation, functional/emotional/social value analysis, competitor teardown, and a structured report output. Directly reusable for validating a product idea.
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