Domain Research

# Domain Research Prompt — Stage 1a of Scoping

**Purpose**: Before asking the user any question, research the industry vertical deeply enough to ask intelligent, informed questions.

**When to use**: ALWAYS at the start of every FDE engagement, BEFORE the discovery interview.

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## The 7 Research Streams

Execute WebSearch + WebFetch on these 7 streams in parallel. Read 3-5 authoritative sources per stream.

### Stream 1 — Market & Industry

**Queries**:
- "[industry] market size 2026"
- "[industry] market trends 2026"
- "[industry] CAGR forecast"
- "[industry] key players competitors"

**Sources to prioritize**:
- Gartner, Forrester, IDC reports
- McKinsey, BCG, Bain industry reports
- Statista, IBISWorld
- Industry trade publications (TechCrunch, VentureBeat for tech; trade pubs for vertical)
- Government data (BLS, EU Eurostat)

**Extract**:
- Market size ($)
- Growth rate
- Top 5 players
- Market segments
- Geographic distribution

### Stream 2 — Pain Points & Top Use Cases

**Queries**:
- "[industry] top challenges 2026"
- "[industry] AI use cases"
- "[industry] digital transformation pain points"
- "[industry] operational bottlenecks"

**Sources**:
- Industry analyst reports
- Customer reviews (G2, Capterra, TrustRadius)
- Reddit, LinkedIn discussions
- Support forums
- Conference talks (YouTube, SlideShare)

**Extract**:
- Top 5 pain points (frequency × severity)
- Common workarounds
- Cost of pain (estimated $)

### Stream 3 — Regulatory Landscape

**Queries**:
- "[industry] regulations 2026"
- "AI Act EU 2026 [industry]"
- "GDPR [industry]"
- "[industry] compliance requirements"
- "[industry] data residency"

**Sources**:
- Official regulatory bodies (.gov, .eu)
- Legal firms specializing in the industry
- Industry associations
- AI Act official documentation

**Extract**:
- AI Act tier (unacceptable / high / limited / minimal)
- GDPR implications
- Industry-specific regulations
- Data residency requirements
- Audit obligations

### Stream 4 — Technology Landscape

**Queries**:
- "[industry] AI tech stack"
- "[industry] machine learning applications"
- "[industry] digital tools"
- "[industry] software vendors"

**Sources**:
- Vendor case studies
- GitHub trending repos
- arXiv papers on the industry
- Tech blogs (Towards Data Science, etc.)

**Extract**:
- Dominant tech stacks
- Top vendors in the space
- Recent innovations
- Open-source projects

### Stream 5 — Benchmarks & KPIs

**Queries**:
- "[industry] KPIs benchmarks 2026"
- "[industry] performance metrics"
- "[industry] operational excellence metrics"

**Sources**:
- Industry benchmarks (Gartner, Forrester)
- Public company 10-Ks for the sector
- Industry reports
- Vendor white papers

**Extract**:
- Industry-standard KPIs
- Top-quartile performance
- Common failure points

### Stream 6 — Recent News & Trends (last 90 days)

**Queries**:
- "[industry] news 2026"
- "[industry] AI adoption 2026"
- "[industry] funding acquisitions 2026"

**Sources**:
- TechCrunch, VentureBeat
- Industry trade press
- LinkedIn news
- Twitter/X discussions
- Crunchbase

**Extract**:
- Recent acquisitions
- Funding rounds
- New product launches
- Regulatory changes
- Major incidents (outages, breaches)

### Stream 7 — Talent & Hiring Market

**Queries**:
- "[industry] AI talent shortage"
- "[industry] engineering salaries 2026"
- "[industry] technical hiring trends"

**Sources**:
- LinkedIn Talent Insights
- Glassdoor, Levels.fyi
- Industry surveys
- Recruiting firm reports

**Extract**:
- Talent availability
- Salary ranges
- Skill gaps

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## The Domain Dossier Format

After research, compile a structured dossier: