dossier
Build structured intelligence dossiers on companies, people, markets, or domains. Covers dossier frameworks, source triangulation, reliability scoring, and fact/inference discipline. Use when preparing a deal-prep dossier, executive briefing, market-entry analysis, due-diligence overview, or board-ready intelligence document.
What this skill does
# Intelligence Dossier A research skill for producing structured intelligence dossiers — the kind of document a CEO reads before a meeting, a PM reads before market-entry, or an investor reads before due diligence. ## When to use this skill - **Deal-prep dossier** before a major partnership / acquisition meeting - **Executive briefing** ahead of a board, customer, or regulator meeting - **Market-entry analysis** for a new geography or vertical - **Due-diligence overview** for investment or M&A consideration - **Competitor profile** in depth - **Person dossier** ahead of executive recruiting or board engagement ## Inputs the advisor expects - Subject (company / person / market / domain) - Purpose (deal-prep, due diligence, briefing — affects depth + emphasis) - Audience (exec, board, working team) - Timeline / deadline - Known starting sources - Sensitive areas to dig into ## Workflows ### Workflow 1 — Generate dossier outline 1. Specify subject type + purpose. 2. Run `dossier_outline_generator.py` to produce a structured outline tailored to subject + purpose. 3. Assign owners + research targets per section. ```bash python3 dossier/scripts/dossier_outline_generator.py \ --subject-type company --purpose deal-prep --format markdown ``` ### Workflow 2 — Validate source triangulation 1. Capture claims with supporting sources. 2. Run `source_triangulation_validator.py` to check each claim has multiple independent supporting sources + source reliability. 3. Flag thinly-sourced claims for additional research. ```bash python3 dossier/scripts/source_triangulation_validator.py \ --input claims_with_sources.json --format markdown ``` ### Workflow 3 — Separate facts from inferences 1. Capture dossier statements. 2. Run `fact_inference_separator.py` to classify each statement and flag unsupported inferences. ```bash python3 dossier/scripts/fact_inference_separator.py \ --input dossier_statements.json --format markdown ``` ## Decision frameworks ### The dossier hierarchy A useful structure for any dossier: 1. **Executive summary** (1 page, lead with takeaway) 2. **Subject overview** (facts: what they are) 3. **Context** (market, history, environment) 4. **Capabilities + assets** (what they can do) 5. **People + leadership** (who runs it) 6. **Performance + trajectory** (numbers, trends) 7. **Relationships + ecosystem** (who they're with) 8. **Risks + open questions** (what we don't know) 9. **Implications + recommendations** (so what) 10. **Sources + methodology** (how we know) ## Fact vs inference discipline Three categories per statement: | Category | Definition | Example | |----------|------------|---------| | **Fact** | Verifiable, sourced | "Founded 2018; HQ in Chicago" | | **Inference** | Reasoned from facts | "Likely targeting enterprise segment based on hiring pattern" | | **Speculation** | No supporting evidence | "Might pivot to AI next year" | A trustworthy dossier separates these clearly. Mixing them = loss of credibility. ### Source reliability scoring (Admiralty Code adapted) | Reliability | Code | Description | |-------------|------|-------------| | Completely reliable | A | Established, history of completely reliable info | | Usually reliable | B | History of mostly reliable info | | Fairly reliable | C | History of reliable info with notable errors | | Not usually reliable | D | Limited history; mixed accuracy | | Unreliable | E | Known for inaccurate info | | Cannot be judged | F | New / unknown source | | Information credibility | Code | Description | |--------------------------|------|-------------| | Confirmed | 1 | Confirmed by other independent sources | | Probably true | 2 | Not confirmed; consistent with other info | | Possibly true | 3 | Not confirmed; reasonable but unsupported | | Doubtful | 4 | Inconsistent with other info | | Improbable | 5 | Contradicted by other info | | Cannot be judged | 6 | New info; no validation possible | A "B-2" rated claim is "usually reliable source, probably true" — workable. An "F-6" claim is "unknown source, unverified" — barely worth including. ### Triangulation principle For each significant claim: - **1 source:** anecdotal; flag explicitly - **2 independent sources:** workable (most dossier claims should reach this) - **3+ independent sources:** confirmed; safe to assert "Independent" means not derived from the same underlying source. Two news articles citing the same press release ≠ 2 independent sources. ## Common engagements ### "Build a dossier on company X before our acquisition meeting" 1. Run outline generator (subject=company, purpose=deal-prep). 2. Pull: financials, leadership, products, customers, IP, tech stack, regulatory posture. 3. Identify red flags: undisclosed litigation, key person dependencies, customer concentration, regulatory risk. 4. Recommendations: questions to ask in meeting; deal structure implications. ### "Executive briefing for senator's office meeting" 1. Run outline (subject=person/organization, purpose=briefing). 2. Pull: voting record, recent statements, committee assignments, donor profile, alignment with our position. 3. Anticipate likely questions; prepare positions. ### "Market-entry analysis for [country]" 1. Run outline (subject=market, purpose=market-entry). 2. Pull: market size, growth, competitive landscape, regulatory, distribution, cultural / business norms, talent. 3. Compare entry options (direct, partner, acquisition). ## Anti-patterns to avoid - **Mixing facts + inferences without labels.** Reader can't calibrate trust. - **Single-source claims presented as confirmed.** Anecdote dressed as data. - **Unsourced "everyone knows" claims.** Often turn out wrong. - **Padding with low-relevance facts.** Bloated dossier loses signal. - **Burying risks at the end.** Risks should be surfaced upfront. - **No update mechanism.** Stale dossier on important subject = bad decisions. - **Adversarial language about subject.** Bias erodes credibility. ## References - `references/dossier-frameworks-and-structure.md` — outline patterns per subject type - `references/source-triangulation-and-reliability.md` — source assessment, triangulation - `references/fact-vs-inference-discipline.md` — categorization + writing patterns ## Related skills - `research/litreview` — academic literature search - `c-level-advisor/ceo-advisor` — strategic briefing patterns - `c-level-advisor/general-counsel-advisor` — legal due diligence overlap - `marketing/competitive-teardown` — competitive intel angle - `business-growth/customer-success-manager` — account research patterns
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