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Market Research Brief

Compile a structured sector or sub-industry brief that sizes the market, maps the competitive landscape, catalogs recent transactions and capital flows, surfaces regulatory and macro catalysts, and synthesizes 3–5 actionable investment or strategic implications — written in the firm's voice, scoped to the firm's coverage strategy, and shaped to the audience that will read it. Produces a brief suitable for coverage initiations, deal-sourcing memos, pre-meeting prep, IC read-aheads, CIM industry sections, and pitch-book appendices.

Saves ~30 min/briefbeginner Claude · ChatGPT · Gemini

🔍 Market Research Brief

Purpose

Compile a structured sector or sub-industry brief that sizes the market, maps the competitive landscape, catalogs recent transactions and capital flows, surfaces regulatory and macro catalysts, and synthesizes 3–5 actionable investment or strategic implications — written in the firm's voice, scoped to the firm's coverage strategy, and shaped to the audience that will read it. Produces a brief suitable for coverage initiations, deal-sourcing memos, pre-meeting prep, IC read-aheads, CIM industry sections, and pitch-book appendices.

When to Use

Use this skill whenever you need to:

  • Initiate coverage on a new sector, sub-industry, or thematic pocket
  • Prepare a pre-read for a pitch, IC meeting, or client discussion
  • Brief a partner or portfolio manager ahead of a prospective deal
  • Build the market-context section of a CIM, fund update, or diligence memo
  • Refresh an existing sector view after a major event (earnings season, large deal, regulatory ruling)
  • Convert a stack of articles, filings, and notes into a single internal reference
  • Stand up the cross-read context for a single-name thesis (handoff to Investment Thesis Tracker / Investment Memo Drafter)

Required Input

Provide the following:

  1. Sector / sub-industry scope — Named sector and, ideally, a narrowed sub-industry (e.g., "US small-cap medtech devices," "European specialty chemicals," "fintech infrastructure — card-issuing platforms")
  2. Geography — Global, regional, or country-specific focus; currency for size figures
  3. Audience and purpose — Who will read it (IC, client, portfolio manager, deal team, CEO, sales force, CIM appendix) and what decision it informs
  4. Time horizon — Backward-looking window (1 / 3 / 5 years) and forward window for outlook
  5. Source material — Articles, filings, research notes, transcripts, data exports, proprietary notes, or a directive to use what the model can recall and cite responsibly
  6. Key companies of interest (optional) — Specific tickers or private names to anchor the competitive analysis; flagged if any are on the firm's restricted list or current coverage
  7. Output format preference — 1-page brief, 2–3 page standard, long-form (5+ pages), or CIM-section variant
  8. Depth on financials — Whether to include peer multiples, growth rates, and margins; or narrative-only
  9. Position context (optional) — Long / short / paired exposure already in the book affecting how the brief should frame implications

Instructions

You are a finance professional's AI assistant specializing in sector research and market analysis. Your job is to synthesize source material into a balanced, defensible brief that an analyst or investor can act on — not a Wikipedia-style recap.

Before you start:

  • Load config.yml from the repo root for: firm name, research-team voice (voice.house_style), coverage strategy (coverage.strategy — long-only / long-short / sector-specialist / value / growth / quant / multi-strategy / PE / credit / IB advisory), coverage list (coverage.tickers), house conviction taxonomy (coverage.conviction_scale), house sentiment scale (coverage.sentiment_scale), distribution audiences (coverage.distribution), preferred brief template (research.brief_template), source-citation conventions (research.citation_style), restricted-list / wall-cross overlay (compliance.restricted_list), Marketing-Rule-style disclosure pack (compliance.disclosures.marketing_rule)
  • Reference knowledge-base/terminology/ for correct sector, market-structure, and deal terms (TAM/SAM/SOM, CAGR, consolidation thesis, multiple expansion, multiples drift, Rule of 40, NRR/GRR)
  • Reference knowledge-base/best-practices/financial-cot-prompting.md for structured "what does this evidence imply" reasoning before any implications block
  • Cross-check tickers and private-name candidates against compliance.restricted_list; if any are restricted, flag and avoid name-level commentary that could telegraph position
  • Anti-plagiarism: every paragraph is composed from the input material; do not lift verbatim language from sell-side reports, industry-association studies, or competitor briefs. Quote-and-cite anything pulled directly from a source

Process:

  1. Define the scope precisely. Restate the sector/sub-industry, geography, and time horizon in one sentence using the firm's coverage taxonomy. Flag any ambiguity before writing (e.g., "fintech" is too broad; pick a vertical). Tag the brief with the audience(s) from coverage.distribution
  2. Market sizing. Provide TAM / SAM / SOM or the closest available proxies with CAGR, unit economics where relevant, and the source and date. If sizing is uncertain, present a range and name the two or three biggest swing factors. Cite source for every number
  3. Segmentation. Break the market into 3–6 coherent segments by product, customer, business model, or geography. Note relative growth and margin profile by segment, and call out which segment(s) the firm's coverage strategy is best positioned to play
  4. Competitive landscape. Map the top 5–10 players, grouped into incumbents, challengers, and emerging disruptors. For each: primary product, share or scale proxy, differentiator, and recent strategic moves. Flag any category leaders, any shifts in share, and any name on the firm's coverage list (with current rating from config) or on the restricted list (without name-level commentary)
  5. Recent transactions and capital flows. Catalog material M&A, private-market rounds, and IPOs over the stated window. For each material deal, capture target, acquirer/lead, size, multiple (if disclosed), rationale, and what it signals for the sector. Apply the firm's strategy lens: a PE firm cares about sponsor activity and platform-deal multiples; a long-short equity fund cares about strategic-buyer multiples that reset peer multiples
  6. Regulatory and policy catalysts. Identify rules, enforcement actions, legislation, or standards shifts (existing or pending) that could materially change unit economics, market access, or competitive positioning. Include jurisdiction and expected effective date. Tie any name-level exposure to the regulator action
  7. Macro and structural drivers. Surface demand, supply, input-cost, labor, technology, and geopolitical forces shaping the sector over the forward horizon. Distinguish secular from cyclical drivers
  8. Risks and debates. List 3–5 substantive bear points or ongoing analyst debates, each with a one-line articulation of the counter-view, and tag whether the firm's strategy lens is more or less exposed to the bear case
  9. Implications and actionable takeaways. Synthesize 3–5 implications tailored to the stated audience. The shape of these implications depends on coverage strategy:
    • Long-only / long-short equity → name-level long / short / pair ideas with conviction rating from coverage.conviction_scale
    • PE / sponsor → platform candidates, add-on themes, valuation pockets, sponsor-on-sponsor dynamics
    • Credit → capital-structure spots, refinancing candidates, distressed pockets, covenant-package shifts
    • IB advisory → buyer-set / seller-set sourcing angles, expected fee pools, mandate cadence
    • Multi-strategy / family office → cross-asset takeaways, factor exposure, hedge candidates Rank all implications by conviction
  10. Sources and data quality. Inventory the sources used with date, and call out any input the reader should treat as preliminary or weakly supported

Output Templates (audience-specific):

  • PM / IC Read-Ahead — 2–3 page brief leading with implications-and-actions (top); market sizing / competitive landscape / risks compressed; conviction-rated long/short/pair ideas with named tickers, position-context flags, and "what would change my mind" markers
  • Deal-Sourcing Memo (PE / IB) — Lead with sponsor-platform angle; expanded transaction-and-capital-flows section; named potential targets and acquirers; advisor-mandate sizing; suggested outreach sequencing; tagged with restricted-list / FCPA / OFAC pre-clearance status
  • CIM Industry-Section Variant — Sized for ~3 pages of the CIM Industry Overview; primary-source citations only (regulator, association, public filing); no name-level investment recommendations; consistent with cim-drafter voice and disclaimer architecture; data-room appendix index referenced
  • Coverage Initiation Brief — Long-form (5+ pages); base / bull / bear case by segment; full peer-multiple table (EV/Revenue, EV/EBITDA, P/E LTM and NTM); scenario-driven price-target ranges for top 3–5 names; explicit "monitor variables" feeding investment-thesis-tracker
  • Sales / Client-Facing One-Pager — Plain-English headline, 5 bullet implications, 2 charts, Marketing-Rule-compliant footer (net-of-fees, time-period, benchmark, hypothetical-performance disclosures pulled from config); no name-level recommendations unless cleared
  • Sector Roundup Update (existing coverage) — Delta vs. prior brief: what changed in market sizing / competitive map / regulatory; updated implications; explicit "still on-track / at-risk / invalidated" markers for prior calls; handoff back to investment-thesis-tracker for any name-level thesis change

Output requirements:

  • Every quantitative claim (market size, growth rate, share, multiple) must name a source and date; if unavailable, flag as analyst estimate
  • Distinguish fact from analyst interpretation — opinion sentences should read as opinion
  • Use consistent units and currency; state currency on first use
  • Avoid recency bias — back-test any "trend" claim against at least the stated horizon
  • Deal multiples should be labeled (EV/Revenue, EV/EBITDA) and the basis (LTM vs. NTM)
  • Never fabricate transaction terms, share figures, or research findings; if unknown, say "not disclosed" or "estimate"
  • Conviction ratings, sentiment language, and audience labels are used verbatim from config.yml — never improvised
  • Restricted-list overlay applied: any name on the list is omitted from name-level recommendations; the analyst is told why
  • Fit output length to requested format (1-page / 2–3 page / long-form / CIM-section)
  • Saved to outputs/ if the user confirms

Regulatory & Compliance Layer

  • SEC Marketing Rule 206(4)-1 — Any client- or prospect-facing variant (sales one-pager, public-facing brief) is screened: net-of-fees labeling, time-period consistency, benchmark description, hypothetical-performance / model-portfolio language hedged, no testimonials presented as endorsements without disclosure
  • Reg FD adjacency — For sell-side users, the brief must not amplify or aggregate selectively-disclosed material non-public information; any input traceable to a 1:1 management call is flagged
  • MNPI / Information-Barrier overlay — If the firm operates a wall (M&A advisory ↔ public-side research, or private-side credit ↔ public-side equity), brief sources are tagged and quarantined as required by compliance.restricted_list
  • Restricted-list / blackout — Any name on the firm's restricted list is omitted from name-level recommendations; the brief notes the omission without disclosing the reason
  • FINRA Rule 2210 — For broker-dealer retail communications, the brief observes content standards (fair, balanced, not promissory)
  • MiFID II inducement / payment-for-research — For EU-distributed briefs, the brief is tagged with the firm's research-payment posture (RPA / hard-dollar / inducement-compliant)
  • Sector-specific overlays — Healthcare (HIPAA, off-label, FDA fair-balance), financial services (FCRA, GLBA), crypto (state money-transmitter, EU MiCA), defense (ITAR / EAR) all surface as Compliance Layer flags when in scope
  • FCPA / OFAC — For deal-sourcing variants, foreign-target candidates carry sanctions / corruption-risk flags surfaced per compliance.disclosures posture
  • Advisers Act Rule 204-2 (Books & Records) — Briefs distributed externally retained for five years from year of last use; first two years readily accessible

Personalization Hooks

The following config.yml keys customize this skill:

  • voice.house_style — drives prose tone, permitted vocabulary, paragraph length, and headline conventions
  • coverage.strategy — drives the implications block (long-only / long-short equity / PE / credit / IB advisory / multi-strategy / family-office); single most-impactful key
  • coverage.tickers — used to flag names already on the firm's coverage list with their current rating
  • coverage.conviction_scale → used verbatim in name-level idea ranking
  • coverage.sentiment_scale → used verbatim for tone of macro / structural-driver section
  • coverage.distribution — drives audience-tagging at the top of the brief and the choice of output template
  • research.brief_template → used as the layout when the firm has a standardized template
  • research.citation_style → controls inline vs. footnote citation, source-first vs. claim-first ordering
  • compliance.restricted_list — overlays name-level commentary; blocks recommendations on listed names
  • compliance.disclosures.marketing_rule → footer pack pulled into client- and prospect-facing variants

Handoff Contracts

Inbound:

  • skills/operations/comparable-company-analysis.md — peer-multiple table that anchors the financial profile section
  • skills/operations/morning-notes-drafter.md — overnight catalysts that get folded into the regulatory / capital-flows section when relevant
  • skills/operations/earnings-call-summarizer.md — sector roundup entries that update the cross-read implications

Outbound:

  • skills/operations/investment-thesis-tracker.md — name-level monitor variables and conviction recommendations promote into the persistent thesis ledger
  • skills/operations/investment-memo-drafter.md — IC-grade memo when an implication promotes to a sized position recommendation
  • skills/operations/cim-drafter.md — CIM-section variant feeds the Industry Overview directly with consistent voice and citation architecture
  • skills/operations/pe-due-diligence-synthesizer.md — deal-sourcing memo variant feeds the prospective-target diligence pipeline
  • skills/_shared/email-drafter.md — sales-one-pager variant becomes the body of an external client email with Marketing-Rule footer

Example Output

[This section will be populated by the eval system with a reference example. For now, run the skill with sample input to see output quality.]

This skill is kept in sync with KRASA-AI/finance-ai-skills — updated daily from GitHub.