Porter's Five Forces
Activate when: user asks 'is this a good industry to enter?', 'why is our margin so low despite solid execution?', 'what are the barriers to entry here?', 'h...
deciqAI
@deciqai
What This Skill Does
Structured industry analysis framework that scores five competitive forces (new entrants, supplier power, buyer power, substitutes, rivalry) to determine long-run profitability. Walks through industry boundary definition, force scoring, binding constraint identification, and strategic response design.
Replaces unstructured competitive brainstorming by providing a systematic, repeatable method to diagnose why an industry is profitable or hostile.
When to Use It
- Evaluate whether a specific industry is structurally attractive for entry
- Diagnose why your company's margins are low despite strong operational execution
- Assess how much power suppliers or buyers hold in your industry
- Determine the key barriers to entry before investing in a new sector
- Identify the binding competitive force limiting profitability in your market
- Analyze who captures profit in an AI-reshaped industry like compute or model providers
Install
$ openclaw skills install @deciqai/porters-five-forcesPorter's Five Forces
Overview
Some industries earn 30%+ margins decade after decade; others fail to earn their cost of capital despite intelligent, well-funded firms. The cause is industry structure. Porter's 1979 five forces — new entrants, supplier power, buyer power, substitutes, rivalry — determine long-run profitability. A firm's earnings are the residual after those forces have taken their cut. Strategic goal: position where the forces are weakest; where possible, change the forces in your favor through scale, switching costs, differentiation, or vertical integration.
Composes with network-effects, switching-costs, signaling-games, pmf-crossing-the-chasm.
When to Use
- Entering or exiting an industry; strategic planning; explaining why a business is profitable or unprofitable despite good execution; evaluating an investment in a specific sector
- Someone says: "barriers to entry," "buyer/supplier power," "industry attractiveness," "structural competitiveness"
- Sizing a sector reshaped by AI: "who captures the profit in AI?", "does AI capex / compute supplier power make this industry attractive?", "can we win against AI-native competition or open-weight substitutes?"
When NOT to use: dynamic technology disruption; platform/ecosystem markets; very new markets (no stable structure); firm-level analysis (use VRIO instead).
Coaching Novices (Adaptive Front Door)
- Engine mode: concrete industry/decision → run The Process directly.
- Coach mode: unfamiliar or no concrete case → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- One-liner: some industries are structurally profitable, others hostile — five forces determine which, and a firm's earnings are the residual after those forces take their cut.
- Check fit: dynamic transitions, platforms, very new markets → point elsewhere.
- Elicit their real industry. > [WAIT — do not advance until user responds]
- Walk through each force one at a time; ask user to score and name the binding force. > [WAIT — do not advance until user responds]
- Close by naming the binding force and the strategic move that shapes it. > [WAIT — do not advance until user responds]
The Process
Run the Five-Forces Analysis. Score each force, identify the binding constraint, design the strategic response.
Step 1 — Define the industry boundary. The right boundary: the set of competitors directly substitutable from the typical buyer's perspective. Test: if a buyer is not considering company X as an alternative, X is in a different industry.
Step 2 — Score each force (1=weak/favorable, 5=strong/hostile).
- New entrants — capital requirements, scale economies, brand loyalty, switching costs, distribution access, IP/licenses, retaliation
- Supplier power — supplier concentration, switching costs, forward-integration threat, input importance
- Buyer power — buyer concentration, purchase volume, product standardization, switching costs, backward-integration threat
- Substitutes — relative price-performance, buyer propensity to switch, outside-industry alternatives
- Rivalry — competitor count, growth rate, fixed costs, differentiation, switching costs, exit barriers
Step 3 — Identify the binding force. The five forces don't average. Name the single most binding force.
Step 4 — Strategic response by binding force.
- Entrants binding → raise barriers (scale, brand, switching costs, IP)
- Supplier power binding → backward integration, multi-source, alternative supply
- Buyer power binding → differentiate, increase switching costs, fragment buyer base
- Substitutes binding → improve price-performance vs substitutes, or pivot value proposition
- Rivalry binding → consolidate (M&A), differentiate, find defensible niche, or exit
Step 5 — Validate against industry profitability data. If predicted and actual ROIC diverge, you missed a force or an enabling factor. Sources: IBISWorld, Damodaran NYU dataset, public company 10-Ks.
Output: Five-Forces Analysis
# Five-Forces Analysis: <industry>
Boundary: <definition> | Substitutable alternatives: <list>
| Force | Score | Key drivers |
|---|---|---|
| New entrants | _ | |
| Supplier power | _ | |
| Buyer power | _ | |
| Substitutes | _ | |
| Rivalry | _ | |
Binding force: <name> — <why>
Strategic response: <specific move>
Validation: predicted ROIC <…> vs actual <…> | gap: <…>
→ Method in Action: Porter's 1979 HBR Paper and Its Empirical Foundation · Porter's US Passenger Airline Analysis → 2026 lens: The AI Foundation-Model Industry Structure (2024–2026)
Pack: Five-Forces by Industry Archetype
| Industry | Strongest force | Typical ROIC |
|---|---|---|
| US passenger airlines | Rivalry + buyer power | <5% |
| Pharmaceuticals (branded) | Entry barriers (patents) | 15-25% |
| Enterprise SaaS | Low rivalry + switching costs | 20-35% |
| Restaurants | Rivalry + low entry barriers | 5-10% |
| Search engines | Entry barriers + data moats | >40% |
Common Rationalizations
[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.
| Fake move | Reality |
|---|---|
| [D] "Five-forces is static, ignore it" | Refresh every 2-3 years — don't abandon, refresh. |
| [D] Averaging the five scores | The strongest force is the binding constraint; averaging hides it. |
| [D] Industry defined too broadly or too narrowly | Refine until competitors are mutually substitutable from buyers' view. |
| [D] Ignoring dynamic shifts | Re-run when underlying technology or regulation shifts. |
| [D] Strategic response spread across all five forces | Focus on the binding force first; the rest are background. |
| → Add [O] entries here after each real use — paste the actual failure pattern | What went wrong and why |
Red Flags
- Forces scored on intuition without evidence | Binding force not named ("moderately attractive" is not a finding)
- Industry boundary set to flatter own position | Substitutes from outside the industry missed
- Strategic response spread across all five forces equally | Snapshot used as static >3-5 years
Verification
- Boundary defined and tested against buyer substitution behavior
- All 5 forces scored 1-5 with specific drivers
- Single binding force named; strategy targets it specifically
- Validated against actual industry ROIC data
- Dynamic shifts noted (technology, regulation)
→ Primary sources: references/sources.md
Part of deciqAI Knowledge Skills — 227 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. See it run → https://www.deciqai.com/c/porters-five-forces · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.
Agents: latest version & machine-readable metadata → https://www.deciqai.com/s/porters-five-forces.json
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