Market Intelligence

Framework for gathering, scoring, and acting on market intelligence. This skill powers the /autonoma:trends command and informs strategic decisions.

Research Methodology

Multi-Source Approach

Never rely on a single source. Cross-reference across:

1. Industry publications — TechCrunch, VentureBeat, The Information, Hacker News
2. Social signals — LinkedIn discussions, Twitter/X threads, Reddit communities
3. Company announcements — product launches, funding rounds, partnerships
4. Data sources — market reports, survey results, benchmark studies
5. Community sentiment — forum discussions, GitHub stars/issues, developer surveys

Finding Scoring System

Every finding gets scored on three axes:

Metric	Scale	Interpretation
Relevance	0.0-1.0	How directly does this affect our market/audience?
Materiality	0.0-1.0	Is this genuinely new and important, or just noise?
Confidence	0.0-1.0	How well-supported is this finding? Multiple sources?

Inclusion threshold: relevance >= 0.5 AND materiality >= 0.5

Priority score: relevance x materiality x confidence (0.0-1.0)

Filtering Noise

Most "trends" are noise. Apply these filters:

• Recency: Is this actually new, or a rehash of old news?
• Specificity: "AI is growing" is noise. "$13B market, 45.8% CAGR" is signal.
• Actionability: Can we do something with this information?
• Credibility: Who is the source? Primary data > opinion pieces.

Competitor Analysis Framework

When analyzing competitors, structure the analysis as:

Direct Competitors (same category)

• What are they doing that we should know about?
• What are their customers complaining about? (opportunities)
• What's their pricing strategy?
• What content are they publishing?

Adjacent Competitors (different category, same audience)

• What can we learn from their approach?
• Where do our audiences overlap?
• Potential collaboration opportunities?

Market Shifts

• New entrants that could disrupt?
• Technology changes that affect everyone?
• Regulatory changes?
• Audience behavior shifts?

From Intelligence to Action

Every research session should produce:

1. Content topics — what should we write about based on trends?
2. Strategic insights — do we need to change our approach?
3. Timing signals — what's urgent vs. can wait?
4. Competitive gaps — what isn't anyone else covering?

Common Research Tasks

Weekly Trend Scan

• Quick scan of top industry news
• Check competitor social media for new content themes
• Review audience engagement patterns
• Output: 3-5 actionable findings

Deep Dive Research

• Focused investigation of a specific topic
• Multiple source cross-referencing
• Data synthesis and original analysis
• Output: Comprehensive report with recommendations

Competitor Watch

• Monitor specific competitor activities
• Track product changes, pricing updates, content strategy
• Identify threats and opportunities
• Output: Competitive brief with action items