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 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 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).
- 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:
- Suspected competitor move — you think someone is building, entering, or repositioning
- An artifact to build or refresh — TAM/SAM/SOM, battle card, positioning, ICP/personas, pricing analysis
- A margin or market-structure puzzle — margins eroding, category shifting, entry decision
- 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):
Close by offering the one-page triage card (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:
- 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.
- 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.
- 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.
- 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
— "no public-web sweep answers a question your own churned prospects can answer better."
See 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 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
1---2name: intel-discipline-advisor3description: 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.4---56# Intel Discipline Advisor78## Purpose910Triage a competitive or market question into the right intelligence response: which of the eight11collection disciplines to run, on what cadence, feeding which artifact, executed by which skill. The12[`intelligence-collection-disciplines`](../intelligence-collection-disciplines/SKILL.md) compendium13holds everything about every channel; this advisor answers the question a busy PM actually has —14*"given what's on my desk, which two or three channels matter, and where do my limited hours go?"*15Running every discipline on every question is the failure mode; scoping to the decision is the craft.16The advisor teaches the mapping as it routes, so by your third session you won't need it. That's the17goal.1819## Input2021**Works best with:** the decision or question on your desk, in your words — "I think [Competitor A]22is building something," "my TAM slide got shredded," "sales keeps getting surprised."23**Also useful:** any signal you've already noticed (a job posting, a pricing change, an earnings24remark), your time budget, and whether you're limited to free sources.2526Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an27appended `ARGUMENTS:` line — counts as answers already given. Use it and skip whatever it covers;28don't re-ask.2930**Arriving empty-handed? That works too.** The advisor opens by asking what's on your desk, with31enumerated situations to pick from.3233**Example invocation:** `Intel discipline advisor: two of their senior engineers just followed our34CTO on a preprint server, and their careers page doubled — what do I run?`3536## Key Concepts3738- **Facilitation protocol:** use [`workshop-facilitation`](../workshop-facilitation/SKILL.md) as the39 default interaction protocol (entry modes, one question per turn, progress labels, numbered40 recommendations). This file defines the domain logic.41- **The routing brain** is the artifact-mapping table in `intelligence-collection-disciplines`:42 every PM artifact has a known discipline mix and refresh cadence. The advisor's job is matching43 the user's situation to a row — and *showing the match*, because the mapping is the lesson.44- **Signals already seen are a head start.** If the user noticed a job posting surge, HUMINT has45 already flagged once — the recommendation starts from "1 discipline flagged" on the confidence46 stacking ladder and names which *independent* channels would corroborate (see47 [`autonomous-investigation`](../autonomous-investigation/SKILL.md)).48- **Cadence must match evidence speed and human capacity.** Pricing pages change monthly; statistics49 releases change annually. A watch the user can't sustain is worse than none — it produces false50 confidence that someone is watching.51- **The honest off-ramp.** Some questions don't need an investigation: if the question is "why do52 customers churn," the answer is win/loss interviews and discovery, not a patent sweep. The advisor53 says so.5455## Application5657This interactive skill asks **3 adaptive questions**, then offers **numbered, context-aware58recommendations**.5960### Question 1: What's on your desk?6162"What's the situation? Pick the closest, or describe your own:63641. **Suspected competitor move** — you think someone is building, entering, or repositioning652. **An artifact to build or refresh** — TAM/SAM/SOM, battle card, positioning, ICP/personas, pricing analysis663. **A margin or market-structure puzzle** — margins eroding, category shifting, entry decision674. **Standing watch setup** — you want ongoing coverage, not a one-off answer"6869### Question 2: Adaptive follow-up7071- **If 1 (suspected move):** "What tipped you off — a job posting, a pricing change, an exec's72 post, a patent, a customer remark? (Whatever you saw is one discipline already flagging; we'll73 pick the independent channels that could corroborate it.)"74- **If 2 (artifact):** "Which artifact, and does a prior version exist to diff against?"75- **If 3 (structure puzzle):** "Is the question about the whole industry's structure, or one76 company's position in it?"77- **If 4 (watch):** "Honestly, how much recurring time can you or your team commit — 30 minutes a78 week, a half-day a month, a day a quarter?"7980### Question 3: Constraints8182"Two quick constraints: free sources only or is paid tooling available, and any geographic focus?83(Region changes which registries and statistics bureaus apply.)"8485### Then: Recommend8687Synthesize and offer **3-5 numbered recommendations**, each naming: **discipline mix → cadence →88executing skill → artifact fed**, with one line on when it's the right choice. Always show *why* the89disciplines were chosen (the mapping-table logic), and include the off-ramp when it's honest.90Handle single selection, combinations ("1 and 3"), and custom directions per the facilitation91protocol.9293**Routing quick-reference** (from the artifact-mapping table):9495| Situation | Discipline mix | Executing skill |96|---|---|---|97| 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) |98| Battle card | SIGINT + OSINT + HUMINT | [`battle-card-builder`](../battle-card-builder/SKILL.md), kept fresh by the watch |99| TAM/SAM/SOM | GEOINT/DEMOINT + FININT capture rates | [`tam-sam-som-calculator`](../tam-sam-som-calculator/SKILL.md) Mode 3 |100| Positioning / ICP | OSINT + GEOINT/DEMOINT (+ VoC) | [`voice-of-customer-miner`](../voice-of-customer-miner/SKILL.md) → [`positioning-statement`](../positioning-statement/SKILL.md) |101| Industry structure | FININT + OSINT | [`porters-five-forces`](../porters-five-forces/SKILL.md) |102| One company's position | OSINT + FININT + HUMINT | [`swot-analysis`](../swot-analysis/SKILL.md) or [`company-intel`](../company-intel/SKILL.md) |103| Pricing question | SIGINT + FININT | [`pricing-packaging-tracker`](../pricing-packaging-tracker/SKILL.md) |104| Macro exposure | GEOINT/DEMOINT + regulatory FININT | [`pestel-delta-monitor`](../pestel-delta-monitor/SKILL.md) |105| Standing watch | SIGINT weekly, OSINT+HUMINT monthly, FININT+TECHINT quarterly — scaled to stated capacity | [`competitive-intel-watch`](../competitive-intel-watch/SKILL.md) |106| The full picture | All of the above, sequenced | [`competitive-analysis-process`](../competitive-analysis-process/SKILL.md) |107108Close by offering the one-page **triage card** ([`template.md`](template.md)) filled in from the109session — the route, its "because," and a review date, as a handoff artifact.110111## Examples112113**Sample flow (fictional):**114115> **Q1** → User: "1 — I think [Competitor A] is building a data-platform play."116> **Q2** → User: "Their careers page doubled, mostly data engineers."117> **Q3** → User: "Free sources, US only."118>119> "Your hiring observation means **HUMINT has already flagged once** — one discipline is an anecdote,120> so the job is corroboration from *independent* channels. Recommendations:121>122> 1. **TECHINT sweep this week** (patents.google.com + their GitHub org + arXiv affiliations, free) —123> a paper-or-patent cluster in the same specialty as the hiring surge is the strongest fusion pair124> available. *Pick this first: highest corroboration value per hour.*125> 2. **SIGINT check, 30 minutes** (crt.sh for new subdomains, Wayback diff on their product pages) —126> catches launch staging if this is further along than hiring suggests.127> 3. **FININT pass at their next earnings call** — listen for capex dodges and segment-language128> shifts; free via their IR page. *Slower, but turns hypothesis into briefable intelligence.*129> 4. **Set the watch instead** — if this can't get hours this quarter, wire [Competitor A] into130> `competitive-intel-watch` monthly and let the cadence catch it.131>132> Reply 1, 2, 3, 4, a combination like '1 and 2', or tell me more. (Two agreeing disciplines = working133> hypothesis; three = brief your leadership.)"134135**The off-ramp in action:** user picks "artifact: ICP refresh," but Q2 reveals the real question is136"why did our last three enterprise deals stall?" The honest recommendation leads with win/loss137interviews (HUMINT's ground-truth layer) and [`discovery-interview-prep`](../discovery-interview-prep/SKILL.md)138— "no public-web sweep answers a question your own churned prospects can answer better."139140See [`examples/conversation-flow.md`](examples/conversation-flow.md) for a full end-to-end session:141inline input crediting two of the three questions, a capacity answer that gets believed, a142combination selection, and a "tell me more" that earns a teaching answer.143[`examples/conversation-flow-industrial.md`](examples/conversation-flow-industrial.md) shows the144routing shift for a physical-world signal — permits and customs data instead of site diffs.145146## Common Pitfalls147148- **Prescribing the full eight.** Recommending every discipline is refusing to triage. Two or three149 channels matched to the decision beats coverage theater — the mapping table exists so you can skip.150- **Ignoring the seen signal.** The user's tip-off is a free head start on the stacking ladder.151 Recommending channels that *re-detect* the same signal type adds no corroboration; independence is152 what stacks.153- **Cadence fantasy.** Designing a weekly watch for a team with a quarterly attention span. Ask the154 capacity question and believe the answer.155- **Routing without teaching.** Handing over a recommendation without the "because" strips the156 lesson. Every recommendation shows its mapping-table logic — the user should leave better at157 triage, not just triaged.158- **No off-ramp.** Forcing every question into an investigation. Discovery, win/loss, and support159 tickets answer some questions better than any public-web sweep; say so when it's true.160161## References162163- [`intelligence-collection-disciplines`](../intelligence-collection-disciplines/SKILL.md) (Component) — the compendium this advisor routes into; the pedagogic pair164- [`workshop-facilitation`](../workshop-facilitation/SKILL.md) (Interactive) — facilitation protocol165- [`autonomous-investigation`](../autonomous-investigation/SKILL.md) (Workflow) — confidence stacking and evidence labels the recommendations lean on166- 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)167- [`discovery-interview-prep`](../discovery-interview-prep/SKILL.md) (Interactive) — the off-ramp when the question belongs to discovery168- The Interactive companion to [`intelligence-collection-disciplines`](../intelligence-collection-disciplines/SKILL.md).