Good product decisions are downstream of good research. But most teams skip the research or do it badly — confirmation bias dressed up as market analysis. These skills cover competitive intelligence, market research, user interviews, survey design, due diligence, and literature review. The kind of structured investigation that turns opinions into evidence.
Key takeaway
ClaudeVault's research and analysis skills give Claude Code structured workflows for the investigative work that should precede every product decision — competitive intelligence tracking with real-time signal monitoring, market research that compresses three-week concept tests into hours, user interview design with laddering techniques, survey construction with bias controls, due diligence frameworks, and literature synthesis that turns scattered sources into structured evidence.
When product decisions are made in meetings based on opinions and the loudest voice rather than structured evidence from real users and market data
When competitive intelligence means checking a competitor's website occasionally instead of systematically monitoring their pricing, features, hiring, and positioning
When user interview data lives in scattered Notion pages and nobody has synthesized the themes across twenty conversations into actionable patterns
When a fundraise or partnership requires due diligence and the team has no framework for systematically evaluating risk, market position, and financial health
A Claude Code research workflow layers these skills from broad landscape scanning through targeted user research to evidence synthesis, building a decision-quality picture from multiple data sources.
Start with the competitive intelligence tracker. Claude monitors competitor signals — pricing page changes, new feature launches, job postings that reveal strategic direction, patent filings — and surfaces the patterns that matter instead of dumping raw alerts. The output is a structured brief, not a firehose.
The user interview designer builds interview guides with laddering questions that move from surface behaviors to underlying motivations. Claude structures the protocol with open-ended prompts, follow-up branches, and specific probes that prevent the interviewer from leading the witness.
Use the survey designer when you need quantitative validation at scale. Claude builds surveys with bias controls — randomized option order, balanced scales, attention checks — and calculates the sample size needed for statistical significance based on your confidence interval and population size.
The market researcher synthesizes TAM/SAM/SOM calculations, customer segment analysis, and trend data into a structured market assessment. Claude separates addressable market from aspirational numbers and flags the assumptions that would change the conclusion if wrong.
Finally, the report summarizer distills competitive intelligence, interview transcripts, survey results, and market data into a decision-ready document. Claude extracts the key findings, highlights conflicting evidence, and presents the recommendation with explicit confidence levels.
Outcome
A competitive landscape map, user interviews designed to surface real motivations, survey data with statistical rigor, market sizing grounded in evidence, and a synthesized report that turns all of it into a decision — not another deck that sits in a folder.
| Skill | Best for | Complexity | Primary use case |
|---|---|---|---|
| Competitive Intelligence Tracker | Real-time competitor monitoring | Advanced | Signal detection across pricing, features, hiring, and positioning |
| Competitor Analyzer | Point-in-time competitive assessment | Intermediate | Feature comparison, positioning analysis, and gap identification |
| Market Researcher | Market sizing and opportunity assessment | Advanced | TAM/SAM/SOM calculation and customer segment analysis |
| User Interview Designer | Qualitative discovery and validation | Intermediate | Interview guide design with laddering and probe techniques |
| Survey Designer | Quantitative validation at scale | Intermediate | Bias-controlled surveys with sample size calculations |
| Due Diligence Advisor | Investment and partnership evaluation | Advanced | Risk assessment, financial review, and red flag identification |
| Literature Reviewer | Academic and industry synthesis | Intermediate | Structured review of published research and industry reports |
| Report Summarizer | Evidence synthesis and decision support | Beginner | Distilling multiple sources into decision-ready summaries |
Produces structured competitive landscape breakdowns with positioning maps, feature matrices, and strategic implications. Use when analyzing competitors for strategic decisions. Competitive analysis, positioning, market intelligence.
Produces structured competitive landscape breakdowns -- who the players are, how they position themselves, where they are strong and weak, and what strategic implications this creates.
Structures due diligence processes for acquisitions, investments, partnerships, and vendor selections across technical, financial, legal, and market dimensions. Use when evaluating a transaction or major vendor commitment. DD checklist, M&A, investment analysis.
Designs comprehensive due diligence processes tailored to specific transaction types, identifies deal-breaker areas for deepest investigation, and prioritizes to surface the highest-risk issues first
Synthesizes research across multiple sources into structured literature reviews with thematic analysis, consensus mapping, and research gap identification. Use when organizing findings from academic papers, industry reports, or technical documentation. Literature review, research synthesis, meta-analysis.
Synthesizes findings from multiple sources into structured literature reviews -- organizing by theme, identifying consensus and disagreement, and surfacing research gaps.
Condenses long documents into structured executive summaries capturing essential findings, implications, and action items. Use when summarizing reports, research papers, whitepapers, meeting transcripts, or strategy documents. Executive summary, document compression, key findings.
Condenses long documents into structured summaries that capture essential findings, implications, and recommended actions.
Designs ongoing competitive intelligence monitoring systems with signal sources, tracking frameworks, alert criteria, and analysis cadences. Use when building infrastructure for continuous competitive awareness. CI system, competitive monitoring, market intelligence.
Designs continuous competitive monitoring systems -- not one-time analyses.
Conducts structured market analysis using established frameworks, data sources, and sizing methodologies. Use when evaluating market opportunity, sizing a TAM, or analyzing market dynamics. Market research, TAM/SAM/SOM, industry analysis.
Conducts structured, evidence-aware market analysis using established frameworks -- TAM/SAM/SOM, Porter's Five Forces, PESTLE, value chain analysis -- and presents findings suitable for strategic deci
Designs bias-reducing surveys with logical flow and analysis frameworks. Use when building questionnaires, screening instruments, or structured feedback collection. Survey methodology, response option design, skip logic, completion optimization.
You are a survey research methodologist. Help the user design surveys that produce reliable, actionable data — from defining research objectives through question design, response option construction,
Designs user research studies with interview guides, screening criteria, and synthesis frameworks. Use when planning qualitative research, participant recruitment, or discovery interviews. Contextual inquiry, JTBD, continuous discovery.
You are a user research methodologist trained in contextual inquiry, Jobs-to-Be-Done interviewing, and continuous discovery.
AI shifts competitive intelligence from monthly analyst reports to real-time signal monitoring. The competitive intelligence tracker surfaces pricing page changes, new feature launches, and hiring patterns as they happen, with pattern recognition that connects isolated signals into strategic insights. Sixty percent of CI teams now use AI tools daily.
Dedicated platforms like Outset and Listen Labs run AI-moderated interviews with automated laddering, at roughly 15 to 75 dollars per interview. Claude Code's user interview designer takes a different approach — it builds the interview guide with structured probes, follow-up branches, and bias controls, leaving the human interviewer to read body language and pursue unexpected threads.
Concept tests that once took three weeks and cost 15,000 dollars now complete in three hours at near-zero marginal cost beyond subscription fees. The speed gain comes from automated survey distribution, real-time analysis, and AI-assisted synthesis — but the quality still depends on asking the right questions, which is what the survey designer skill ensures.
Due diligence is structured risk evaluation before a high-stakes decision — investment, acquisition, partnership, or major vendor commitment. The due diligence advisor generates a framework covering financial health, market position, legal exposure, technology risk, and team assessment, with specific red flags to investigate.
The report summarizer distills competitive intelligence, interview transcripts, survey data, and market research into a single decision-ready document. Claude extracts key findings, highlights where different data sources conflict, and presents the recommendation with explicit confidence levels so the reader knows what is well-supported versus speculative.
Competitive intelligence is ongoing, real-time monitoring — signals tracked over time to detect strategic shifts. Competitor analysis is a point-in-time assessment — a structured comparison of features, pricing, and positioning at a specific moment. The first is a radar, the second is a snapshot. Most teams need both.