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Read an industry's structure through Porter's Five Forces with documented signals per rating, ending at the profit pool. Use when weighing market entry or when margins erode and nobody can say why.
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基于 SOC 职业分类
| name | porters-five-forces |
| argument-hint | [industry or segment, and the decision it supports] |
| description | Read an industry's structure through Porter's Five Forces with documented signals per rating, ending at the profit pool. Use when weighing market entry or when margins erode and nobody can say why. |
| intent | An evidence-cited five-forces read: rivalry, new entrants, substitutes (with AI-driven substitution named explicitly), buyer power, and supplier power — each force rated weak/moderate/strong with the documented signals that justify the rating, closing with where the profit pool sits and who is squeezing it. |
| type | workflow |
| theme | market-intelligence |
| best_for | ["Pressure-testing a market-entry decision against the industry's actual structure","Explaining margin erosion structurally instead of blaming execution","Grounding strategy debates in rated forces with evidence, not vibes"] |
| scenarios | ["We're considering entering the clinical-data-management space — what does its structure do to everyone who plays?","Our margins keep compressing and every explanation is tactical; give me the structural read"] |
| estimated_time | 25-40 min per run |
Read an industry's structure through Porter's Five Forces, with evidence: search plan → force-by-force ratings with signals → profit-pool implication → next-step options. Each force — competitive rivalry, threat of new entrants, threat of substitutes, buyer power, supplier power — is rated weak/moderate/strong and justified with documented signals, because a rating without signals is vibes. The analysis closes where it should have been aiming all along: where the profit pool sits and who is squeezing it. Five forces is an argument about where margin goes, not a diagram for slide four.
Works best with: the industry or segment, named as precisely as you can ("clinical data
management SaaS," not "healthcare"), and the decision this analysis should support.
Also useful: a geographic boundary if the structure differs by region, and a
market-landscape-scan in session — the forces read builds on
it and searches only gaps.
Input supplied inline with the invocation — text after the skill name, a pasted context dump, or an
appended ARGUMENTS: line — counts as answers already given. Use it against the question budget;
don't re-ask.
Arriving empty-handed? That works too. The skill opens with at most 3 questions (segment, decision, boundary) and proceeds on labeled assumptions if they go unanswered.
Example invocation: Five forces on mid-market field-service management software, North America — decision: whether we enter or partner.
autonomous-investigation
contract — question budget of 3, search-plan gate, Fact/Inference/Assumption labels, Just Enough
Mode (2-4 signals per force), stable schema, 4-option Final Step. Disciplines: FININT
(concentration, margins, filings) + OSINT (analyst coverage, trade press) per
intelligence-collection-disciplines.swot-analysis reads one company's position within it.# Five Forces: [Industry / Segment]
**As-of date:** | **Boundary:** | **Decision supported:**
## 1. Competitive Rivalry — [weak / moderate / strong]
- Signals: [concentration, growth rate, differentiation, exit barriers — each with URL + label]
- What it means here: [one sentence]
## 2. Threat of New Entrants — [weak / moderate / strong]
- Signals: [entry barriers, capital needs, recent entrants and how they fared, regulation — each with URL + label]
- What it means here: [one sentence]
## 3. Threat of Substitutes — [weak / moderate / strong]
- Signals: [substitute adoption, price-performance trajectory, switching evidence — each with URL + label]
- AI-driven substitution, named and assessed: [labeled]
- What it means here: [one sentence]
## 4. Buyer Power — [weak / moderate / strong]
- Signals: [buyer concentration, switching costs, price transparency, backward-integration examples — URL + label]
- What it means here: [one sentence]
## 5. Supplier Power — [weak / moderate / strong]
- Signals: [supplier concentration (including cloud/model/platform dependencies), input differentiation — URL + label]
- What it means here: [one sentence]
## 6. The Profit Pool (the "so what")
- Where margin sits today, and the force squeezing it: [labeled]
- Structure trend: [tightening / loosening, on what evidence]
- For your decision: [2 sentences tying structure to the decision named above]
### Assumptions to Validate
- [Assumption 1] / [Assumption 2] / [Assumption 3]
A copy/paste fill-in version of this schema, with quality checks, lives in template.md.
market-landscape-scan to name the players behind each forceansoff-matrix)Accept 1, 2, 3, 4, 1 and 3, Verbose Mode, or a custom path.
A rating that survives "how do you know?" (fictional):
4. Buyer Power — strong
- Signals: top 10 buyers account for ~60% of segment spend — Fact ([trade association data, URL]); three publicized incumbent-to-rival switches in 18 months with no reported penalty — Fact ([press coverage, URLs]); public rate cards make pricing fully transparent — Fact ([vendor pricing pages]); one major buyer built the capability in-house — Fact ([their engineering blog, URL])
- What it means here: buyers can credibly threaten to leave or build, so list-price integrity is an illusion in this segment — discounting pressure is structural, not a sales-discipline problem.
The profit-pool close doing its job: rivalry moderate, entrants weak, substitutes strong (AI agents absorbing the low-complexity tier), buyers strong, suppliers moderate. The pool sits in the regulated high-complexity tier — the only place two strong forces don't reach — Inference. For the entry decision: enter only via the regulated tier; the volume tier's margin is already spoken for by buyers below and AI substitution above.
See examples/sample.md for a complete worked five-forces read (fictional
FSM-software market) that builds on the market-landscape-scan example and lands at a profit-pool
close that changes the decision. examples/sample-industrial.md
shows the forces inverting in an industrial market — read both to see the framework adapt instead
of recite.
autonomous-investigation (Workflow) — the governing protocolintelligence-collection-disciplines (Component) — FININT/OSINT sources behind the signalsmarket-landscape-scan (Workflow) — who plays; this skill asks what the structure does to themswot-analysis (Workflow) — one company's position within the structureansoff-matrix (Workflow) — growth options informed by the profit-pool readmarket-intelligence/porters-five-forces-prompt.md in the
https://github.com/deanpeters/product-manager-prompts repo.