What this template is for
Goal
This template provides founders and product teams with an AI researcher who can conduct market analysis, competitive intelligence, customer research, and industry trend monitoring with the rigor of a professional research function. It turns research from an occasional, reactive activity into a continuous strategic capability — surfacing the insights you need to validate ideas, understand buyers, anticipate competitive moves, and identify emerging opportunities before they become obvious. The AI Researcher operates as your always-on intelligence function, ensuring every major business decision is grounded in evidence rather than assumption.
Who it's for
This template is designed for founders evaluating new market opportunities or validating product ideas, product teams that need continuous customer and competitive insight to inform roadmaps, and strategy leaders who want to institutionalize research as a capability rather than a project. It is also valuable for investors conducting due diligence, consultants serving multiple clients who need research leverage, and enterprise innovation teams scanning for disruptive threats and partnership opportunities.
Market Sizing and Opportunity Analysis
Before you commit resources to a market, you need to know how big it is, how fast it is growing, and whether the opportunity is worth pursuing. The AI Researcher template builds rigorous market sizing analyses using TAM, SAM, and SOM frameworks with both top-down and bottom-up methodologies. It sources data from industry reports, public company filings, government statistics, and analyst estimates, triangulating across sources to produce defensible numbers. It also analyzes market dynamics — growth drivers, adoption curves, regulatory tailwinds and headwinds, and the concentration of incumbent power — to assess not just market size but market attractiveness.
- Build TAM, SAM, and SOM analyses using top-down and bottom-up methodologies
- Source and triangulate data from industry reports, filings, and analyst estimates
- Analyze market growth drivers, adoption curves, and regulatory dynamics
- Assess market attractiveness beyond size: competitive intensity, buyer power, and substitution risk
- Generate market opportunity briefs with clear conclusions and confidence levels
Competitive Intelligence and Landscape Mapping
Understanding your competitive landscape is not a one-time exercise — it is a continuous intelligence function. The AI Researcher template builds a living competitive landscape that maps competitors across multiple dimensions: product capabilities, pricing, target segments, go-to-market motion, funding and financial health, and strategic trajectory. It monitors competitor signals — job postings, product updates, patent filings, pricing changes, leadership moves — and synthesizes them into actionable intelligence. The template maintains competitor profiles that stay current and a landscape map that visualizes where you are differentiated and where you are vulnerable.
- Map the competitive landscape across product, pricing, GTM, and funding dimensions
- Monitor competitor signals: job postings, product changes, pricing moves, and leadership shifts
- Build and maintain detailed competitor profiles that stay current through continuous monitoring
- Create competitive positioning maps that visualize differentiation and vulnerability
- Generate weekly competitive intelligence briefs with signal interpretation and implications
Customer Discovery and Interview Synthesis
The most dangerous assumption in business is that you understand your customer. The AI Researcher template structures and scales customer research by designing interview guides, analyzing interview transcripts, and synthesizing findings across multiple conversations into actionable insights. It identifies patterns across interviews — common pain points, consistent objections, feature requests that surface repeatedly — and quantifies the strength of signals so you know what is a real trend and what is a single loud voice. For teams that cannot do live interviews, it can analyze support tickets, sales call recordings, NPS comments, and product feedback to extract customer insights at scale.
- Design customer interview guides with question flows tailored to your learning objectives
- Analyze interview transcripts to extract pain points, jobs-to-be-done, and decision criteria
- Synthesize findings across multiple interviews to identify patterns and quantify signal strength
- Analyze support tickets, sales calls, and feedback channels for customer insights at scale
- Generate customer insight reports with personas, journey maps, and prioritized opportunity areas
Industry Trend Monitoring and Horizon Scanning
The best time to respond to a trend is before your competitors notice it. The AI Researcher template builds a trend monitoring capability that scans industry publications, academic research, patent databases, regulatory developments, and technology communities for signals of emerging shifts. It filters signal from noise by evaluating trends against criteria like evidence strength, adoption trajectory, and relevance to your business. The output is a horizon scan report that categorizes trends by time horizon — now, next, and later — and connects each trend to specific implications and possible responses for your business.
- Scan industry publications, academic research, patents, and technology communities for emerging signals
- Evaluate trends against criteria: evidence strength, adoption trajectory, and business relevance
- Categorize trends by time horizon — now (0-12 months), next (1-3 years), later (3-10 years)
- Connect each trend to specific business implications and possible strategic responses
- Generate quarterly horizon scan reports for board and strategy discussions
Product Validation and Concept Testing
Building the wrong thing is the most expensive mistake a company can make. The AI Researcher template provides structured frameworks for validating product ideas and testing concepts before significant resources are committed. It designs concept testing surveys, analyzes beta user feedback, evaluates product-market fit signals, and builds the evidence case for go or no-go decisions. For products already in market, it conducts win-loss analysis by examining why deals were won and lost, extracting the product, pricing, and positioning insights that inform roadmap and GTM decisions.
- Design concept testing surveys and interview protocols to validate product ideas
- Analyze beta and early adopter feedback for product-market fit signals
- Build evidence cases for go/no-go decisions with explicit confidence levels
- Conduct win-loss analysis to extract product, pricing, and positioning insights
- Generate product validation reports that stakeholders can use to align on priorities
Research Synthesis and Stakeholder Communication
Research that sits in a document nobody reads is wasted effort. The AI Researcher template builds research communication as a first-class capability — it produces executive summaries that distill complex research into clear conclusions, builds research repositories that are searchable and accessible, and generates presentation-ready findings for board meetings, strategy offsites, and investor conversations. It also maintains a research backlog so the organization always knows what questions are being investigated and what has already been answered, preventing duplicate effort and ensuring research builds cumulatively.
- Produce executive summaries that distill complex research into clear, actionable conclusions
- Build searchable research repositories organized by topic, market, and question
- Generate presentation-ready findings for board meetings and strategy discussions
- Maintain a research backlog that tracks open questions, in-progress work, and completed investigations
- Create a research calendar that aligns research output with strategic planning cycles
Template fields
Research Objectives
What you need to learn — market sizing, competitive landscape, customer needs, technology trends, or product validation. This focuses the research agenda.
Target Market or Industry
The market or industry you are researching. Be as specific as possible — fintech infrastructure, not just fintech.
Key Competitors to Track
The 5-15 companies you consider direct and indirect competitors. The AI Researcher builds profiles and monitors signals for each.
Customer Research Access
What customer data you have — interview transcripts, survey results, support tickets, sales calls, NPS data. The template analyzes whatever you provide.
Research Depth Preference
How deep to go — executive summary only, detailed report, or comprehensive with appendices. The template adjusts output depth to your needs.
Research Cadence
How often you want research output — weekly pulse, monthly deep dives, or quarterly comprehensive reports. The AI Researcher builds a rhythm around this.
What you get
- Defensible market sizing that withstands investor and board scrutiny with triangulated data sources
- A living competitive intelligence function that surfaces threats and opportunities weeks before they become obvious
- Customer insights synthesized from interviews, support data, and feedback channels — turning scattered signals into clear patterns
- Quarterly horizon scan reports that prepare leadership for emerging trends before they become urgent
- Product validation evidence that reduces the risk of building the wrong thing by surfacing customer truth early