Triage a competitive or market question into the right intelligence disciplines, cadence, and executing skill. Use when you know something needs researching but not which channel to run.
git clone https://github.com/deanpeters/Product-Manager-Skills.git--- name: intel-discipline-advisor argument-hint: "[the decision or competitive question on your desk]" description: "Triage a competitive or market question into the right intelligence disciplines, cadence, and executing skill. Use when you know something needs researching but not which channel to run." intent: >- Interactive triage for market intelligence: three adaptive questions about the decision on your desk, then numbered recommendations naming the discipline mix (OSINT, FININT, TECHINT...), the cadence, and the investigation skill that executes — teaching the decision-to-discipline mapping through use, so you eventually stop needing the advisor. type: interactive theme: market-intelligence best_for: - "Picking the two or three collection disciplines a specific decision actually needs" - "Setting up a watch cadence that matches how fast the evidence really changes" - "Learning the decision-to-discipline mapping instead of running everything on everything" scenarios: - "I think a competitor is up to something but I don't know where to look first" - "I have four hours this quarter for competitive intel — where do they go?" estimated_time: "5-10 min" --- # Intel Discipline Advisor ## Purpose Triage a competitive or market question into the right intelligence response: which of the eight collection disciplines to run, on what cadence, feeding which artifact, executed by which skill. The [`intelligence-collection-disciplines`](../intelligence-collection-disciplines/SKILL.md) compendium holds everything about every channel; this advisor answers the question a busy PM actually has — *"given what's on my desk, which two or three channels matter, and where do my limited hours go?"* Running every discipline on every question is the failure mode; scoping to the decision is the craft. The advisor teaches the mapping as it routes, so by your third session you won't need it. That's the goal. ## Input **Works best with:** the decision or question on your desk, in your words — "I think [Competitor A] is building something," "my TAM slide got shredded," "sales keeps getting surprised." **Also useful:** any signal you've already noticed (a job posting, a pricing change, an earnings remark), your time budget, and whether you're limited to free sources. Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended `ARGUMENTS:` line — counts as answers already given. Use it and skip whatever it covers; don't re-ask. **Arriving empty-handed? That works too.** The advisor opens by asking what's on your desk, with enumerated situations to pick from. **Example invocation:** `Intel discipline advisor: two of their senior engineers just followed our CTO on a preprint server, and their careers page doubled — what do I run?` ## Key Concepts - **Facilitation protocol:** use [`workshop-facilitation`](../workshop-facilitation/SKILL.md) as the default interaction protocol (entry modes, one question per turn, progress labels, numbered recommendations). This file defines the domain logic. - **The routing brain** is the artifact-mapping table in `intelligence-collection-disciplines`: every PM artifact has a known discipline mix and refresh cadence. The advisor's job is matching the user's situation to a row — and *showing the match*, because the mapping is the lesson. - **Signals already seen are a head start.** If the user noticed a job posting surge, HUMINT has already flagged once — the recommendation starts from "1 discipline flagged" on the confidence stacking ladder and names which *independent* channels would corroborate (see [`autonomous-investigation`](../autonomous-investigation/SKILL.md)). - **Cadence must match evidence speed and human capacity.** Pricing pages change monthly; statistics releases change annually. A watch the user can't sustain is worse than none — it produces false confidence that someone is watching. - **The honest off-ramp.** Some questions don't need an investigation: if the question is "why do customers churn," the answer is win/loss interviews and discovery, not a patent sweep. The advisor says so. ## Application This interactive skill asks **3 adaptive questions**, then offers **numbered, context-aware recommendations**. ### Question 1: What's on your desk? "What's the situation? Pick the closest, or describe your own: 1. **Suspected competitor move** — you think someone is building, entering, or repositioning 2. **An artifact to build or refresh** — TAM/SAM/SOM, battle card, positioning, ICP/personas, pricing analysis 3. **A margin or market-structure puzzle** — margins eroding, category shifting, entry decision 4. **Standing watch setup** — you want ongoing coverage, not a one-off answer" ### Question 2: Adaptive follow-up - **If 1 (suspected move):** "What tipped you off — a job posting, a pricing change, an exec's post, a patent, a customer remark? (Whatever you saw is one discipline already flagging; we'll pick the independent channels that could corroborate it.)" - **If 2 (artifact):** "Which artifact, and does a prior version exist to diff against?" - **If 3 (structure puzzle):** "Is the question about the whole industry's structure, or one company's position in it?" - **If 4 (watch):** "Honestly, how much recurring time can you or your team commit — 30 minutes a week, a half-day a month, a day a quarter?" ### Question 3: Constraints "Two quick constraints: free sources only or is paid tooling available, and any geographic focus? (Region changes which registries and statistics bureaus apply.)" ### Then: Recommend Synthesize and offer **3-5 numbered recommendations**, each naming: **discipline mix → cadence → executing skill → artifact fed**, with one line on when it's the right choice. Always show *why* the disciplines were chosen (the mapping-table logic), and include the off-ramp when it's honest. Handle single selection, combinations ("1 and 3"), and custom directions per the facilitation protocol. **Routing quick-reference** (from the artifact-mapping table): | Situation | Discipline mix | Executing skill | |---|---|---| | Suspected move | Corroborate the seen signal: TECHINT + HUMINT + SIGINT + FININT, fused | [`intelligence-collection-disciplines`](../intelligence-collection-disciplines/SKILL.md) fusion template, then [`competitive-intel-watch`](../competitive-intel-watch/SKILL.md) | | Battle card | SIGINT + OSINT + HUMINT | [`battle-card-builder`](../battle-card-builder/SKILL.md), kept fresh by the watch | | TAM/SAM/SOM | GEOINT/DEMOINT + FININT capture rates | [`tam-sam-som-calculator`](../tam-sam-som-calculator/SKILL.md) Mode 3 | | Positioning / ICP | OSINT + GEOINT/DEMOINT (+ VoC) | [`voice-of-customer-miner`](../voice-of-customer-miner/SKILL.md) → [`positioning-statement`](../positioning-statement/SKILL.md) | | Industry structure | FININT + OSINT | [`porters-five-forces`](../porters-five-forces/SKILL.md) | | One company's position | OSINT + FININT + HUMINT | [`swot-analysis`](../swot-analysis/SKILL.md) or [`company-intel`](../company-intel/SKILL.md) | | Pricing question | SIGINT + FININT | [`pricing-packaging-tracker`](../pricing-packaging-tracker/SKILL.md) | | Macro exposure | GEOINT/DEMOINT + regulatory FININT | [`pestel-delta-monitor`](../pestel-delta-monitor/SKILL.md) | | Standing watch | SIGINT weekly, OSINT+HUMINT monthly, FININT+TECHINT quarterly — scaled to stated capacity | [`competitive-intel-watch`](../competitive-intel-watch/SKILL.md) | | The full picture | All of the above, sequenced | [`competitive-analysis-process`](../competitive-analysis-process/SKILL.md) | Close by offering the one-page **triage card** ([`template.md`](template.md)) filled in from the session — the route, its "because," and a review date, as a handoff artifact. ## Examples **Sample flow (fictional):** > **Q1** → User: "1 — I think [Competitor A] is building a data-platform play." > **Q2** → User: "Their careers page doubled, mostly data engineers." > **Q3** → User: "Free sources, US only." > > "Your hiring observation means **HUMINT has already flagged once** — one discipline is an anecdote, > so the job is corroboration from *independent* channels. Recommendations: > > 1. **TECHINT sweep this week** (patents.google.com + their GitHub org + arXiv affiliations, free) — > a paper-or-patent cluster in the same specialty as the hiring surge is the strongest fusion pair > available. *Pick this first: highest corroboration value per hour.* > 2. **SIGINT check, 30 minutes** (crt.sh for new subdomains, Wayback diff on their product pages) — > catches launch staging if this is further along than hiring suggests. > 3. **FININT pass at their next earnings call** — listen for capex dodges and segment-language > shifts; free via their IR page. *Slower, but turns hypothesis into briefable intelligence.* > 4. **Set the watch instead** — if this can't get hours this quarter, wire [Competitor A] into > `competitive-intel-watch` monthly and let the cadence catch it. > > Reply 1, 2, 3, 4, a combination like '1 and 2', or tell me more. (Two agreeing disciplines = working > hypothesis; three = brief your leadership.)" **The off-ramp in action:** user picks "artifact: ICP refresh," but Q2 reveals the real question is "why did our last three enterprise deals stall?" The honest recommendation leads with win/loss interviews (HUMINT's ground-truth layer) and [`discovery-interview-prep`](../discovery-interview-prep/SKILL.md) — "no public-web sweep answers a question your own churned prospects can answer better." See [`examples/conversation-flow.md`](examples/conversation-flow.md) for a full end-to-end session: inline input crediting two of the three questions, a capacity answer that gets believed, a combination selection, and a "tell me more" that earns a teaching answer. [`examples/conversation-flow-industrial.md`](examples/conversation-flow-industrial.md) shows the routing shift for a physical-world signal — permits and customs data instead of site diffs. ## Common Pitfalls - **Prescribing the full eight.** Recommending every discipline is refusing to triage. Two or three channels matched to the decision beats coverage theater — the mapping table exists so you can skip. - **Ignoring the seen signal.** The user's tip-off is a free head start on the stacking ladder. Recommending channels that *re-detect* the same signal type adds no corroboration; independence is what stacks. - **Cadence fantasy.** Designing a weekly watch for a team with a quarterly attention span. Ask the capacity question and believe the answer. - **Routing without teaching.** Handing over a recommendation without the "because" strips the lesson. Every recommendation shows its mapping-table logic — the user should leave better at triage, not just triaged. - **No off-ramp.** Forcing every question into an investigation. Discovery, win/loss, and support tickets answer some questions better than any public-web sweep; say so when it's true. ## References - [`intelligence-collection-disciplines`](../intelligence-collection-disciplines/SKILL.md) (Component) — the compendium this advisor routes into; the pedagogic pair - [`workshop-facilitation`](../workshop-facilitation/SKILL.md) (Interactive) — facilitation protocol - [`autonomous-investigation`](../autonomous-investigation/SKILL.md) (Workflow) — confidence stacking and evidence labels the recommendations lean on - Executing skills: [`competitive-intel-watch`](../competitive-intel-watch/SKILL.md), [`battle-card-builder`](../battle-card-builder/SKILL.md), [`tam-sam-som-calculator`](../tam-sam-som-calculator/SKILL.md), [`porters-five-forces`](../porters-five-forces/SKILL.md), [`swot-analysis`](../swot-analysis/SKILL.md), [`voice-of-customer-miner`](../voice-of-customer-miner/SKILL.md), [`pricing-packaging-tracker`](../pricing-packaging-tracker/SKILL.md), [`pestel-delta-monitor`](../pestel-delta-monitor/SKILL.md), [`competitive-analysis-process`](../competitive-analysis-process/SKILL.md) - [`discovery-interview-prep`](../discovery-interview-prep/SKILL.md) (Interactive) — the off-ramp when the question belongs to discovery - Companion to Dean Peters' "Competitive Research on Steroids" compendium (Productside).
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git clone https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/intel-discipline-advisorCopy the install command above and run it in your terminal.
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I need to research [COMPANY] in the [INDUSTRY] sector. What are the most effective intelligence disciplines, cadence, and execution skills to gather insights on [SPECIFIC TOPIC, e.g., 'their AI strategy', 'market positioning', 'executive hiring trends']? Break this down into primary and secondary approaches.
# Intelligence Discipline Recommendation for [COMPANY] Research ## Primary Disciplines - **Competitive Intelligence (CI)**: Track [COMPANY]’s public filings, press releases, and job postings for strategic shifts. - **Market Intelligence (MI)**: Analyze industry reports (Gartner, IDC) and customer sentiment (G2, TrustRadius) for [COMPANY]’s positioning. ## Secondary Disciplines - **Financial Intelligence**: Monitor earnings calls and SEC filings for capital allocation trends. - **Technical Intelligence**: Reverse-engineer their product updates via changelogs or LinkedIn engineering posts. ## Execution Cadence - **Daily**: Social media monitoring (Twitter, LinkedIn) for real-time signals. - **Weekly**: News aggregation (Google Alerts, Feedly) for curated updates. - **Monthly**: Deep-dive reports (SWOT, benchmarking) for strategic insights. ## Skill Execution - **Data Sources**: Use tools like Crunchbase (funding), BuiltWith (tech stack), or Owler (competitor data). - **Analysis Framework**: Apply Porter’s Five Forces for market dynamics or SWOT for internal/external factors. - **Validation**: Cross-check claims with at least 2 independent sources (e.g., earnings call + analyst report). *Next Steps*: Prioritize CI for short-term signals and MI for long-term trends. Would you like a tailored toolkit for [TOPIC]?*
skills-collection
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