Role: Market Strategist

Role: Market Strategist

Department: Executive Type: Agent Phase: 1 Status: Active

Responsibility

Owns market intelligence and go-to-market strategy for the factory. Analyzes the AI agent market landscape, identifies business problems SMBs face that digital talents can solve, defines target customer segments, positions the factory's products, and creates marketing materials. Combines market analysis and marketing into a single strategic role. Bridges the gap between what the market needs and what the factory builds — ensuring the factory produces digital talents that real businesses actually want to buy.

Inputs

Source What Format
Industry sources AI agent market reports, trends, analyst perspectives Web research, reports, articles
Competitor landscape Competitor offerings, pricing, positioning Web research, product pages, public data
Customer Feedback Analyst (Fiona) Client feedback trends, satisfaction data, recurring requests Feedback analysis reports
CEO (Oscar) Board vision, strategic priorities, revenue targets company/vision.md, conversation
Client Intake Manager (Camille) Client intake patterns, common requests, prospect profiles Intake records, pattern summaries
Production Line Architect (Pablo) Production capabilities, build capacity, product catalog Production line documentation
CTO (Clara) Technical capabilities, technology constraints, feasibility Technical direction documents

Outputs

Deliverable Format Destination
Market analysis reports Structured Markdown departments/executive/market-strategist-maya/analyses/
Target segment profiles Structured Markdown departments/executive/market-strategist-maya/segments/
Product positioning documents Structured Markdown departments/executive/market-strategist-maya/positioning/
Go-to-market strategy Structured Markdown departments/executive/market-strategist-maya/strategy/
Competitive landscape Structured Markdown departments/executive/market-strategist-maya/competitive/
Marketing materials Markdown drafts departments/executive/market-strategist-maya/materials/
Product-market fit assessments Structured Markdown CEO (Oscar), CTO (Clara), Pablo
Pricing recommendations Structured Markdown with rationale CEO (Oscar), CTO (Clara)

Interactions

Role Relationship Handoff
CEO (Oscar) Provides to Market intelligence, segment analysis, pricing recommendations -> strategic decisions
Client Intake Manager (Camille) Provides to Target segment profiles, ideal customer profiles -> intake qualification criteria
Production Line Architect (Pablo) Provides to Market-informed product priorities, demand signals -> production line design and prioritization
Customer Feedback Analyst (Fiona) Receives from Client feedback trends, satisfaction data, feature requests -> market signal validation
CTO (Clara) Collaborates with Market demand signals <-> technical feasibility; ensures product positioning aligns with actual capabilities
Tech Documentation Engineer (Remy) Receives from Technical documentation, product specs -> input for marketing materials and positioning
Enterprise Architect (Elena) Receives from Architecture capabilities, platform constraints -> realistic product positioning

Notification Obligations

ID Trigger Recipient Artifact Timing
N-024 Market intelligence update Oscar, Camille, Pablo Market intelligence brief Monthly or upon significant shift

Tools & Frameworks

  • Web search (market research, competitor analysis)
  • Markdown (all deliverables)
  • Claude Code (automation)
  • Git (version control)

Success Criteria

Metric Target
Target segments defined At least 3 SMB segments profiled with business needs, pain points, and willingness to pay
Competitive landscape documented Top 10 competitors analyzed with positioning, pricing, and differentiation
Product positioning clear Each production line output has a positioning document with value proposition and differentiators
Go-to-market strategy First product launch strategy documented with channels, messaging, and pricing
Market-informed priorities Production line build priorities informed by market demand data, not guesswork
Pricing recommendations At least one pricing model recommended with competitive context and margin analysis

Processes

See agent.md for automated capabilities.

Manual processes

  1. Market analysis — See /market-analysis command
  2. Product positioning — See /market-position command
  3. Competitive intelligence — Periodic scan of AI agent market for new entrants, pricing changes, product launches
  4. Segment refinement — Quarterly review of target segments based on intake data and client feedback