# Competitive Market Analysis

> Use when performing competitive analysis, market entry assessment, moat evaluation, positioning strategy, build/buy/partner decisions, or responding to a competitor move. Encodes 7 Powers, Aggregation Theory, Christensen Disruption, JTBD, Wardley Mapping, and evidence-tier standards. Produces a Competitive War Map artifact.

- Skill: `avyayalaya/competitive-market-analysis` (Agent Skill, multi-file: 10 files)
- Install (CLI): `npx skillmds@latest add avyayalaya/competitive-market-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/avyayalaya/competitive-market-analysis/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- License: MIT
- Author: Avyayalaya (https://skillmd.com/u/avyayalaya)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/avyayalaya/competitive-market-analysis

---


## Purpose

Produce an elite-tier competitive and market analysis that scores every competitor against 7+ strategic frameworks, decomposes moats by type, identifies disruption vectors with evidence-graded confidence, and delivers board-ready artifacts a PM cannot produce unaided. The output is a Competitive War Map — not a feature comparison, but a structural assessment of who wins, why, and what to do about it.

## When to Use / When NOT to Use

**Use this skill when:**
- Entering a new market or evaluating a competitive response
- Preparing a strategy review, board deck, or investment memo
- A competitor makes a significant move and you need structural analysis (not reactive commentary)
- Building a positioning strategy (feeds into Narrative Building skill)
- Evaluating build/buy/partner decisions where competitive dynamics matter
- Assessing moat durability for your own product or a competitor's

**Do NOT use this skill when:**
- You need a quick feature comparison table (just ask for one directly)
- The "competitor" is internal (use Problem Framing skill instead)
- You need pricing analysis only (this skill includes pricing but as one GTM dimension, not the sole output)
- You need user research (use Discovery & Research skill — that's demand-side primary research, this is market-side structural analysis)

**Anti-inputs (what this skill does NOT handle):**
- Customer interview synthesis (→ Discovery & Research skill)
- Product specification decisions (→ Spec Writing skill)
- Statistical analysis of experiment results (→ Outcome Measurement skill)
- Internal organizational strategy (this is external-facing competitive intelligence)

---

## Format Rules (Read First)

These rules govern every output produced by this codex. They are not style preferences — they are quality enforcement mechanisms derived from benchmarking against investment-grade analyst output.

1. **Take positions. Never hedge with weasel words.** "Likely," "may," "could," and "seems" are banned. Flag uncertainty with explicit confidence levels: **H (>70% confident)**, **M (40-70%)**, **L (<40%)**. Example: *"Visier's free tier is a benchmark data flywheel play, not a price move (H)"* not *"Visier may be trying to build data advantages."*

2. **Per-cell evidence tier annotation is mandatory in all comparison matrices.** Every cell in a feature matrix, switching cost decomposition, or 7 Powers heat map must carry an inline evidence tier tag: `(T1)`, `(T2)`, `(T3)` etc. Where evidence is absent: `(T6: inferred)`. A matrix with untagged cells is incomplete.

3. **The O→I→R→C→W cascade applies to ALL strategic recommendations**, not just final sections. Format: Observation [evidence tier] → Implication [mechanism] → Response [specific action] → Confidence [H/M/L + assumption] → Watch Indicator [observable signal].

4. **Begin with Framework Selection (Step 0)** before applying any framework. Identify the question type; select the 3-4 load-bearing frameworks; note which to skip. Applying all 9 frameworks to a moat defense question dilutes signal and inflates length.

5. **Contradictions between frameworks are signal, not noise.** When two frameworks reach different conclusions (e.g., 7 Powers says moat is strong but COAP says profits are shifting away), surface the contradiction explicitly and state which to weight more heavily and why.

6. **Flag time-sensitive claims.** Any claim based on data older than 6 months must carry `[POTENTIALLY STALE — verify before presenting]`. Tier labels alone are insufficient; recency matters independently of source quality.

7. **Flag thin-evidence conclusions.** If a key strategic conclusion rests only on Tier 4-6 evidence, prepend it with `[EVIDENCE-LIMITED: validate with Tier 1-2 before acting]`.

8. **Every framework reference gets a one-line contextual explanation the first time it appears.** Not "Hamilton Helmer's 7 Powers" but "Helmer's framework for scoring 7 types of competitive moat — we use it here to assess which advantages are durable vs. eroding." The framework name is for the author's rigor. The reader needs to know why this lens matters for *their* decision.

9. **The document must be navigable by someone who didn't create it.** Include a reading guide (by time and by role), a notation key, and layered depth. A VP should be able to read only the Executive Summary and act. A PM should be able to read through Findings and skip Deep Analysis. The full document is for the analyst.

---

## Output Template (Mandatory Document Skeleton)

Every Competitive War Map MUST follow this exact structure. Copy this skeleton and fill it in. Do not reorder sections, skip sections, or invent new top-level sections. If a framework was skipped in Step 0, note "Skipped — not load-bearing for this question type" in that section.

```markdown
# Competitive War Map: [Subject — e.g., "SMB HR Analytics Market Entry"]

> **Date:** [YYYY-MM-DD] | **Confidence band:** [Overall H/M/L] | **Staleness window:** [Date after which key claims need revalidation]

---

## Executive Summary

[5 sentences max. A VP reads only this and makes a decision. No framework names, no jargon, no evidence tier tags. Plain language a non-PM exec can act on. Final sentence = the recommended action in bold.]

---

## How to Read This Document

**What this is:** A structural competitive assessment — not a feature comparison. It uses strategic frameworks to assess which advantages are durable, where value is migrating, and what to do about it.

**Reading by time available:**

| Time | Read | You'll get |
|---|---|---|
| **5 min** | Executive Summary only | The decision + recommended action |
| **15 min** | Executive Summary + Findings (sections 1-4) | Key structural conclusions with evidence |
| **30 min** | Full document through Recommendations | Complete analysis with supporting frameworks |
| **Deep dive** | Everything including Appendix | Full framework applications, assumptions, self-critique |

**Reading by role:**

| Role | Start with | Then read | Skip unless curious |
|---|---|---|---|
| VP / Exec | Executive Summary | Recommendations (section 10), Assumption Registry | Everything in between |
| PM Lead | Executive Summary | Findings (sections 2-5), Recommendations | Deep framework sections, Worked Examples |
| Strategy / Analyst | Full document in order | Cross-Framework Contradictions, Adversarial Self-Critique | Nothing — this is your primary artifact |
| Engineer / Designer | Executive Summary | Tactical Layer (section 8) for feature/capability matrix | Framework sections (unless building competitive tooling) |

---

## Notation Key

**Confidence levels** — applied to every strategic conclusion:
- **H (>70% confident)** — Strong evidence supports this conclusion. Act on it.
- **M (40-70%)** — Direction is probable but evidence is mixed. Validate before committing resources.
- **L (<40%)** — This is a hypothesis, not a finding. Do not act without further evidence.

**Evidence tiers** — how we know what we claim to know (tagged inline as T1-T6):
- **T1** — Direct behavioral data: usage analytics, revenue, SEC filings, job postings (strongest)
- **T2** — Primary research: well-sampled surveys, structured interviews
- **T3** — Expert analysis with disclosed reasoning: Stratechery, a16z, academic papers
- **T4** — Industry reports: Gartner, IDC, Forrester (useful for sizing, less for insight)
- **T5** — Executive statements and press releases (strategic signaling, not facts)
- **T6** — Punditry, blog posts, social media, or first-principles reasoning (weakest)

**Competitive power ratings:**
- 🟢 **Strong** — Mature, actively accruing, 3+ years to replicate
- 🟡 **Moderate** — Exists but nascent, eroding, or limited in scope
- 🔴 **Weak/Absent** — No meaningful competitive barrier

**Recommendation format** (O→I→R→C→W):
- **O**bservation — What we see (with evidence tier)
- **I**mplication — Why it matters (the mechanism)
- **R**esponse — What to do (specific action + owner + timeline)
- **C**onfidence — How sure we are (H/M/L + key assumption)
- **W**atch — How to know if we're wrong (observable signal)

**Flags:**
- `[POTENTIALLY STALE]` — Source data is >6 months old; verify before presenting
- `[EVIDENCE-LIMITED]` — Conclusion rests on T4-T6 evidence only; validate with stronger data before acting

---

## Step 0: Context Fitness Check

Before selecting frameworks, verify that a Competitive War Map is the right artifact for this question.

| Question | If Yes | If No |
|---|---|---|
| **Is the core problem external (competitive) or internal (activation/adoption)?** | Proceed to Framework Selection | A Competitive War Map is the wrong artifact. Consider: Activation Strategy Map (internal adoption problem), Metric Framework (measurement problem), or Problem Framing. |
| **Do you have access to internal behavioral data (T1-T2)?** | Analysis can produce H-confidence conclusions | Flag prominently: "External-view analysis only. All conclusions are hypotheses — validate against internal telemetry before acting." Cap confidence at M for structural claims. |
| **Is distribution through user choice or IT/enterprise provisioning?** | Standard competitive dynamics apply | Competitive set must include "do nothing," "existing workflow," and "the user's own inertia." Distribution competition is irrelevant — the battle is awareness → activation → habit. |
| **Is the product standalone or a feature of a larger platform?** | Analyze as independent product | The product inherits the platform's powers AND constraints. Competitive analysis must account for bundle dynamics, cross-subsidy, and the fact that the product may not need to "win" independently. |

**If any answer is "No":** State this prominently at the top of the Executive Summary. Example: *"Note: This analysis is produced from public sources only (T3-T5). All structural conclusions should be treated as hypotheses to be validated against internal data before strategic action."*

---

## Step 0b: Framework Selection

| Question type | Primary frameworks (apply in full) | Supporting frameworks (scan only) | Skipped (why) |
|---|---|---|---|
| [e.g., "Market entry decision"] | [e.g., 7 Powers, COAP, JTBD] | [e.g., Blue Ocean, Wardley] | [e.g., "Win/Loss — no existing deals to analyze"] |

---

## 1. Competitive Set

| Tier | Competitors | Rationale |
|---|---|---|
| **Primary** (full analysis) | [3-5 names] | [Why these are direct substitutes] |
| **Secondary** (scan) | [3-6 names] | [Adjacent players expanding toward you] |
| **Non-obvious / H3** | [2-3 names] | [Different paradigm entirely] |

---

## 2. 7 Powers Heat Map

| Power | [Competitor A] | [Competitor B] | [Competitor C] | [Your Product] |
|---|:---:|:---:|:---:|:---:|
| Scale Economies | 🟢/🟡/🔴 (TX) | | | |
| Network Effects | | | | |
| Counter-Positioning | | | | |
| Switching Costs | | | | |
| Branding | | | | |
| Cornered Resource | | | | |
| Process Power | | | | |
| **Accruing / Eroding** | [direction] | [direction] | [direction] | [direction] |

📊 [Inline evidence citations for key ratings]

**Decision point:** [e.g., "No competitor holds >2 strong powers → market is structurally contestable."]

---

## 3. Switching Cost Decomposition

| Type | [Competitor A] | [Competitor B] | [Your Product] |
|---|:---:|:---:|:---:|
| Financial/Contractual | ████░░░░░░ X/10 (TX) | | |
| Data/Migration | | | |
| Workflow/Integration | | | |
| Identity | | | |
| Learning/Procedural | | | |
| Relational/Trust | | | |
| Social/Community | | | |

**Key insight:** [Customer-created vs. vendor-imposed distinction. Strategic implication.]

---

## 4. Aggregation & Disruption Analysis

**Aggregation Theory:**
| Question | Finding | Evidence |
|---|---|---|
| Who owns the user relationship? | | (TX) |
| Marginal costs approaching zero? | | (TX) |
| Which layers commoditizing? | | (TX) |

**Christensen COAP:**
| Test | Evidence | Assessment |
|---|---|---|
| Serves non-consumers? | | ✅/❌/⚠️ |
| "Good enough" for the job? | | ✅/❌/⚠️ |
| Incumbent can't respond? | | ✅/❌/⚠️ |
| Trajectory toward mainstream? | | ✅/❌/⚠️ |

**Decision point:** [Where are profits shifting? Who is vulnerable?]

---

## 5. Strategy Reverse-Engineering (Where to Play / How to Win)

| Competitor | Stated Strategy | Revealed Strategy | Gap |
|---|---|---|---|
| [A] | | | |
| [B] | | | |

**Wardley Map Findings:** [Key misallocations — custom effort on commodity, or commoditizing genesis.]

---

## 6. Blue Ocean Check

**Strategy Canvas:** [Describe or render the value curve comparison across key factors.]

**ERRC Grid:**
| Eliminate | Reduce | Raise | Create |
|---|---|---|---|
| [factors] | [factors] | [factors] | [factors] |

---

## 7. Adoption Stage Assessment

| Question | Finding |
|---|---|
| TAL position | [Innovators / Early Adopters / Early Majority / Late Majority] |
| Chasm status | [Pre-chasm / In the chasm / Crossed] |
| Whole product gap | [What's missing for mainstream adoption?] |
| Bowling alley head pin | [Specific beachhead segment + rationale] |

---

## 8. Tactical Layer

**Feature/Capability Matrix:**

| Capability | Strategic Weight | [Comp A] | [Comp B] | [Your Product] |
|---|:---:|:---:|:---:|:---:|
| [Capability 1] | H/M/L | ✅/🔄/🚧/❌ (TX) | | |
| [Capability 2] | | | | |

**GTM & Distribution Comparison:**

| Dimension | [Comp A] | [Comp B] | [Your Product] |
|---|---|---|---|
| Pricing model | | | |
| Free tier | | | |
| Enterprise motion | | | |
| Distribution channel | | | |
| Bundle leverage | | | |

**Customer & User Signals:**
- [Signal 1] 📊 (TX: source)
- [Signal 2] 📊 (TX: source)

---

## 9. Win/Loss Pattern Mapping

| Pattern | Structural Cause | Framework Attribution |
|---|---|---|
| [e.g., "Losing enterprise deals on security"] | [e.g., "Branding gap — no SOC2 narrative"] | 7 Powers: Branding |

---

## 10. Strategic Recommendations (O→I→R→C→W Cascade)

**Recommendation 1: [Title]**
- **Observation** [TX]: [What we see]
- **Implication**: [Why it matters — the mechanism]
- **Response**: [Specific action + owner + timeline]
- **Confidence**: [H/M/L] — assumes [key assumption]
- **Watch**: [Observable signal]; if [threshold], re-assess

**Recommendation 2: [Title]**
- **Observation** [TX]: ...
- **Implication**: ...
- **Response**: ...
- **Confidence**: ...
- **Watch**: ...

**Recommendation 3: [Title]**
[Same structure]

---

## Three Horizons Threat Landscape

| H1 (0-12mo) | H2 (12-36mo) | H3 (36mo+) |
|---|---|---|
| [Direct threats] | [Adjacent expansion] | [Paradigm shifts] |
| [Response] | [Response] | [Response] |

---

## Cross-Framework Contradictions

| Contradiction | Framework A says | Framework B says | Resolution / Which to weight |
|---|---|---|---|
| [e.g., "Moat strength vs. profit trajectory"] | [7 Powers: strong moat] | [COAP: profits shifting away] | [Which matters more and why] |

---

## Assumption Registry

| # | Assumption | Framework it underpins | Confidence | Evidence | What would invalidate this |
|---|---|---|---|---|---|
| 1 | | | H/M/L | (TX) | |
| 2 | | | H/M/L | (TX) | |
| 3 | | | H/M/L | (TX) | |

---

## Adversarial Self-Critique

**Weakness 1: [Title]**
[Steelmanned argument against the analysis. What assumption is made? What evidence would disprove it? Scenario where this recommendation is catastrophically wrong.]

**Weakness 2: [Title]**
[Same depth]

**Weakness 3: [Title]**
[Same depth]

---

## Revision Triggers

| Trigger | What to re-assess | Timeline |
|---|---|---|
| [Observable event] | [Which sections break] | [When to check] |

---

## Sources

[All sources cited in the analysis, with evidence tier and date.]
```

**Rules for using this template:**
1. **Do not skip sections.** If a section isn't applicable, write "Skipped — [reason]" and move on.
2. **Every table cell with a rating or claim must have an evidence tier tag** — `(T1)` through `(T6)`.
3. **Section headers are conclusions, not labels.** Replace generic headers (e.g., "Switching Cost Analysis") with insight headers (e.g., "Looker's Lock-In Is Customer-Created — Ours Isn't") after completing the section.
4. **The Executive Summary is written last** but appears first. Do not write it until all sections are complete.
5. **Progress bars** (`████░░░░░░`) are mandatory in the Switching Cost Decomposition. Do not substitute with text ratings.

---

## Domain Frameworks

> This section IS the knowledge weapon. Each framework is encoded with its scoring rubrics, decision tables, and application methodology — not merely referenced. A PM using this skill produces analysis that requires these frameworks; without them, the output degrades to generic commentary.

### Framework 1: Hamilton Helmer's 7 Powers

The gold standard for analyzing **durable competitive advantage**. Score every competitor against all 7:

| Power | Definition | Key Question | Scoring Signal |
|-------|-----------|--------------|----------------|
| **Scale Economies** | Per-unit cost declines as production volume increases | Does the incumbent's cost structure punish new entrants at lower scale? | Compare unit economics at 10x vs. 1x scale |
| **Network Effects** | Value to each user increases with the number of users | Is growth self-reinforcing? (See Network Effects Taxonomy below) | DAU/MAU ratio trend, viral coefficient |
| **Counter-Positioning** | A newcomer adopts a business model an incumbent can't copy without damaging their existing business | Would matching our move cannibalize the incumbent's core revenue? | Revenue concentration in threatened line |
| **Switching Costs** | The value loss a customer would experience by switching to an alternative | What would a customer lose — data, workflow, identity, integrations — by leaving? (See Switching Cost Decomposition) | Churn rate at contract renewal, migration cost estimates |
| **Branding** | A durable attribution of higher value to an objectively identical product | Does the brand command a price premium or reduce customer acquisition cost? | Price premium vs. generic, unaided recall |
| **Cornered Resource** | Preferential access to a valuable asset — talent, IP, regulatory license — that cannot be replicated | What scarce input can't be bought on the open market? | Patent portfolio, exclusive data access, regulatory moat |
| **Process Power** | Organization embeddings and complex process superiority built over time | Is the advantage embedded in organizational culture/process rather than any single technology? | Years to replicate, institutional knowledge depth |

**Scoring Rubric:**

| Rating | Symbol | Criteria |
|--------|--------|----------|
| **Strong** | 🟢 | Power is mature, actively accruing, and would take a competitor 3+ years to replicate |
| **Moderate** | 🟡 | Power exists but is either nascent, eroding, or limited in scope |
| **Weak/Absent** | 🔴 | Power does not exist or provides no meaningful competitive barrier |

**Critical insight:** Power must exist BEFORE victory is won — a company that wins without power will lose that position quickly. When scoring, assess whether power is *accruing* (strengthening with time/usage) or *eroding* (weakening due to market shifts, commoditization, or competitor action).

**Output format — 7 Powers Heat Map:**
```
| Power              | Competitor A | Competitor B | Your Product | Competitor C |
|--------------------|:---:|:---:|:---:|:---:|
| Scale Economies    | 🟢 Strong     | 🟡 Moderate  | 🟡 Moderate  | 🔴 Weak      |
| Network Effects    | 🟢 Data NE    | 🟡 Ecosystem | 🔴 None      | 🟡 Collab    |
| Counter-Position   | 🔴 None       | 🟢 Privacy   | 🟢 Unbundle  | 🔴 None      |
| Switching Costs    | 🔴 Low        | 🟢 Ecosystem | 🟡 Data      | 🔴 Low       |
| Branding           | 🟢 Premium    | 🟢 Trust     | 🔴 Unknown   | 🟡 Niche     |
| Cornered Resource  | 🟢 TPUs       | 🟢 Chips     | 🔴 None      | 🟡 Talent    |
| Process Power      | 🟡 Moderate   | 🟢 Design    | 🔴 None      | 🔴 None      |
```

---

### Framework 2: Ben Thompson's Aggregation Theory

The definitive lens for understanding **Internet-era competitive dynamics** — who owns the user relationship, who gets commoditized, and where value migrates.

**The Value Chain Inversion:**
- Pre-Internet: Distribution was scarce → distributors integrated backward into supply → owned suppliers
- Post-Internet: Distribution is free → transaction costs zero → integrate forward into user relationship → commoditize suppliers

**Three Characteristics of Aggregators:**
1. Direct relationship with users (payment, account, or habitual usage)
2. Zero marginal costs for serving users
3. Demand-driven multi-sided networks with decreasing acquisition costs

**Aggregator Classification:**

| Level | Supply Relationship | Cost Structure | Example |
|-------|-------------------|----------------|---------|
| Level 1 | Acquires supply (pays for it) | Supply cost scales | Netflix |
| Level 2 | Doesn't own supply, but incurs onboarding transaction costs | Marginal supply cost | Uber |
| Level 3 | Doesn't own supply, zero supplier costs | Zero marginal cost | Google |
| Super-Aggregator | Multi-sided, zero costs on all sides | Pure demand economics | Google, Meta |

**Decision Table — Aggregation Analysis:**

| Question | If Yes | If No |
|----------|--------|-------|
| Does this player have a direct user relationship? | Potential aggregator | Supplier or infrastructure — vulnerable to commoditization |
| Are marginal costs near zero? | Can scale without proportional cost | Growth hits cost ceiling — look for margin compression |
| Are acquisition costs decreasing with scale? | Flywheel active — very dangerous competitor | Growth requires sustained spend — vulnerable to funding dry-up |
| Can suppliers multi-home? | Aggregator's moat is weaker than it appears | Strong lock-in on supply side — powerful position |

**Analytical questions to answer:**
- What is the scarce resource being distributed?
- Which component has become commoditized (and who's commoditizing it)?
- Who owns the user relationship, and is that ownership durable?
- Where is value shifting — toward supply or toward demand ownership?

---

### Framework 3: Christensen's Disruption Theory — Applied

Not just "low-end disruption." The complete analytical toolkit for identifying disruption vectors.

**Disruption Vector Analysis:**

| Vector | Mechanism | Detection Signal | Example |
|--------|-----------|-----------------|---------|
| **Low-end** | "Good enough" at dramatically lower cost to over-served customers | New entrant pricing at 30-70% discount; customers saying "I don't use half the features" | Google Docs vs. Microsoft Office (early) |
| **New-market** | Serves non-consumers who couldn't access the market before | Product reaching users who never bought the category; simpler UX, lower barrier | Canva vs. Adobe (designers who aren't designers) |
| **Hybrid** | Enters low end AND expands the market simultaneously | Both price disruption AND new user demographics | Notion (simpler than Confluence AND accessible to non-engineers) |

**Conservation of Attractive Profits (COAP) — Most Underused Christensen Concept:**

> When one layer of a value chain becomes modularized and commoditized, an adjacent layer becomes integrated and earns outsized profits.

**COAP Application Method:**
1. Identify each layer of the value chain
2. Which layers are becoming commoditized right now?
3. Where will profits shift as commoditization completes?
4. Is any player actively integrating the newly attractive layer?

**"Isn't Good Enough" / "More Than Good Enough" Decision Table:**

| Market State | Architecture That Wins | Implication |
|-------------|----------------------|-------------|
| Product isn't good enough for most users | Integrated architectures win | Incumbent is safe — customers need improvement, not disruption |
| Product is more than good enough | Modular architectures win | Disruption incoming — over-served customers will switch to cheaper/simpler |

---

### Framework 4: Roger Martin's "Where to Play / How to Win"

The strategy-as-choice cascade. Reverse-engineer every competitor's actual strategy (which often differs from their stated strategy).

**The Five Cascading Choices:**
1. **What is our winning aspiration?** (Concrete market position, not mission statement)
2. **Where to play?** (Markets, segments, channels, geographies, customer types)
3. **How to win?** (Cost leadership? Differentiation? What specific capability advantage?)
4. **What capabilities must be in place?**
5. **What management systems are required?**

**Competitive Application — The Revealed Strategy Test:**

| Dimension | What They SAY | What Resource Allocation REVEALS | Gap = Insight |
|-----------|---------------|--------------------------------|---------------|
| Where to play | "We serve everyone" | 80% revenue from enterprise | They're an enterprise company pretending to be horizontal |
| How to win | "Best product wins" | 60% spend on sales, 15% on R&D | They win on distribution, not product |
| Capabilities | "AI-first" | 3 ML engineers, 200 sales reps | Marketing positioning, not technical reality |

**Key insight:** The gap between what competitors SAY and what their resource allocation REVEALS is where the strategic insight lives. Annual reports, job postings, and org charts reveal strategy more honestly than press releases.

---

### Framework 5: Wardley Mapping

Plot every component of the value chain on two axes to identify strategic misallocations and evolutionary opportunities.

**Axes:**
- **Y-axis (visibility):** How visible to the end user? (User needs at top → infrastructure at bottom)
- **X-axis (evolution):** Where on the evolution curve?

| Stage | Characteristics | Competitive Implications | Investment Signal |
|-------|----------------|------------------------|-------------------|
| Genesis | Novel, uncertain, high failure rate | First-mover possible but risky | VC funding, research labs, patents |
| Custom Build | Emerging understanding, bespoke | Differentiation opportunity | Specialized teams, high salaries |
| Product (+rental) | Increasingly understood, feature competition | Consolidation, M&A wave | Product managers hired, feature parity race |
| Commodity (+utility) | Standardized, cost competition | Margin compression, shift to utility | Outsourcing, API-ification |

**Competitive Application Method:**
1. Map your product's components on the evolution axis
2. Map each competitor on the same map
3. Where are they investing in genesis/custom? (Their bet on the future)
4. Where are they sourcing commodity? (What they've given up owning)
5. Spot mismatches: custom effort on commodity = waste; commoditizing genesis = unstable foundation
6. Identify inertia: where is a competitor over-investing in a stage their component has evolved past?

**Decision trigger:** If a competitor is building custom what you can source as commodity → you have a cost advantage. If they're commoditizing what's still genesis for you → they're ahead on the evolution curve.

---

### Framework 6: Jobs-to-be-Done Competitive Analysis

Customers don't buy products — they "hire" them for a job. Competition isn't between similar products; it's between anything hired for the same job.

**JTBD Structure:**

| Job Dimension | Question | Why It Matters |
|--------------|----------|----------------|
| **Functional** | What is the customer trying to accomplish? | The task — but rarely the real reason for hiring |
| **Emotional** | How does the customer want to feel? | Often the actual purchase driver |
| **Social** | How does the customer want to be perceived? | Drives tool choice in collaborative settings |
| **Consumption chain** | What happens before, during, and after? | Where pain points and switching costs live |

**Competitive Landscape Map (JTBD version):**
- Don't list "products that look like ours"
- List "everything a customer might hire for this job" — including manual processes, workarounds, doing nothing
- Rate each on satisfaction of functional, emotional, and social jobs
- Identify: over-served jobs (ripe for disruption) vs. under-served jobs (growth opportunity)

**Decision Table — JTBD Competitive Assessment:**

| Signal | Interpretation | Action |
|--------|---------------|--------|
| Customers hire multiple products for same job | Job is under-served; integration opportunity | Build the unified solution |
| Customers over-pay relative to job importance | Job is over-served; disruption risk | Unbundle or simplify |
| "Non-consumption" is the main competitor | New-market opportunity | Lower barriers to entry |
| Customers describe "workarounds" | Product-market fit gap | Address the workaround directly |

---

### Framework 7: Kevin Kwok's Data Content Loops

For markets where the competitive weapon is information disintermediation.

**The "Rich Barton Playbook":**
1. Identify an industry where intermediaries hoard information
2. Build a Data Content Loop: authoritative data → definitive page for every entity
3. Dominate search for every entity in the category
4. Own demand: users come to you first → you dictate terms to supply

**Loop mechanics:** Data → Content → SEO dominance → Traffic → More data → Better content → Stronger SEO → compounds

**Assessment questions:**
- Who controls the data-content-discovery loop?
- Who owns demand?
- What breaks the loop?
- Is the data proprietary or publicly available? (Proprietary = stronger moat)
- How many query variations does the loop cover? (More = harder to displace)

---

### Framework 8: Blue Ocean Strategy

Kim & Mauborgne's framework for **finding uncontested market space** rather than competing in existing markets. All preceding frameworks assume you're fighting in a defined arena. Blue Ocean asks whether you should be in that arena at all.

**Core Insight — Value Innovation:**
The simultaneous pursuit of differentiation *and* low cost. Traditional strategy assumes a tradeoff; Blue Ocean rejects it. Value innovation happens when you align utility, price, and cost in a way that makes the competition irrelevant.

**The Strategy Canvas:**

Plot every competitor on two axes — factors of competition (x) vs. offering level for each factor (y). When all players have similar curves, the industry is competing on the same dimensions and Blue Ocean opportunity exists.

```
Offering Level
High ─────────────────────────────────────────────────────
     │  Incumbent A ╭──╮ ╭──╮          Your target curve
     │   ╭──╮╭──╮╭──╯  ╰──╯  ╰──────────╮╭──╮
     │───╯  ╰╯  ╰╯                        ╰╯  ╰──
Low  ─┼─────────────────────────────────────────────────────
     │ Factor1 Factor2 Factor3 Factor4 Factor5 Factor6
```

**The Four Actions Framework (ERRC Grid):**

| Action | Question | Strategic Purpose |
|--------|----------|-------------------|
| **Eliminate** | Which factors the industry takes for granted should be removed entirely? | Cut costs and complexity customers don't actually value |
| **Reduce** | Which factors should be reduced well below the industry standard? | Right-size over-delivered factors |
| **Raise** | Which factors should be raised well above the industry standard? | Eliminate the compromises customers currently accept |
| **Create** | Which factors should be created that the industry has never offered? | Generate new value and new demand |

**Output format — ERRC Grid:**
```
| Factor                    | Eliminate | Reduce | Raise | Create |
|---------------------------|:---------:|:------:|:-----:|:------:|
| Sales complexity          | ✅        |        |       |        |
| Feature depth             |           | ✅     |       |        |
| Onboarding time           |           |        | ✅    |        |
| AI-generated first draft  |           |        |       | ✅     |
```

**Six Paths to Blue Oceans:**

| Path | Where to Look | Example |
|------|--------------|---------|
| 1. Alternative industries | Products/services that serve the same job but look different | Cirque du Soleil looked across circus AND theatre |
| 2. Strategic groups within the industry | Why do buyers trade up or down between tiers? | NetJets looked across commercial aviation AND private jets |
| 3. Chain of buyers | Who pays vs. who uses vs. who influences the decision? | Novo Nordisk targeted doctors, not patients |
| 4. Complementary products | What happens before, during, after product use? | Barnes & Noble added cafés |
| 5. Functional vs. emotional orientation | Functionally-oriented industry → add emotional; emotionally-oriented → strip to function | Swatch: watch as fashion, not tool |
| 6. Time | What trends are certain, irreversible, and still under-leveraged? | Apple: iPod in 2001 on music industry's paid download trend |

**When Blue Ocean beats 7 Powers analysis:**

| Situation | Use Blue Ocean | Use 7 Powers |
|-----------|---------------|--------------|
| Market is commoditizing — all players have similar Power ratings | ✅ | |
| New entrant choosing where to compete | ✅ | |
| Assessing moat durability of incumbents | | ✅ |
| Responding to a specific competitor move | | ✅ |
| Identifying whether to fight or reframe the competitive arena | ✅ | |

**Critical warning:** Blue Ocean is not a license to ignore competition. A Blue Ocean can be competed away once others see the opportunity. Pair Blue Ocean analysis with 7 Powers to identify which Blue Ocean moves can be defended.

---

### Framework 9: Technology Adoption Lifecycle & Crossing the Chasm

Geoffrey Moore's framework for understanding **how competitive dynamics shift as technology markets mature** — and why the rules that win early adopters fail against the mainstream.

**The Technology Adoption Lifecycle:**

| Segment | Share | Mindset | Purchase trigger | Competitive implication |
|---------|:-----:|---------|-----------------|------------------------|
| **Innovators** | 2.5% | Technologists | Access to latest tech | Risk-tolerant; buy broken products; not references |
| **Early Adopters** | 13.5% | Visionaries | Strategic advantage | Buy vision and potential, not references or proof |
| **Early Majority** | 34% | Pragmatists | Proven productivity gain | Buy references from people like themselves; need whole product |
| **Late Majority** | 34% | Conservatives | Cost reduction, safety | Buy commoditized, bundled solutions with strong support |
| **Laggards** | 16% | Skeptics | Forced/compliance | Don't voluntarily adopt; price-sensitive to the extreme |

**The Chasm — Why It Exists:**

Early Adopters buy on vision. Early Majority buy on references from people like themselves. Early Adopters are individualists who do not give referrals that satisfy pragmatists. The result: there is **no natural word-of-mouth bridge** between the two groups.

```
Innovators → Early Adopters → [THE CHASM] → Early Majority → Late Majority → Laggards
                                    ↑
                    Most B2B tech companies die here
```

**The Whole Product Concept:**

The "whole product" is everything required for the customer to achieve their full desired outcome — not just the core product.

| Buyer | What they accept | What you must deliver |
|-------|-----------------|----------------------|
| Early Adopter | Generic product + builds rest themselves | Core product + vision |
| Early Majority | Nothing unless whole product is delivered | Core + integrations + support + training + community + references |

**Whole Product Gap = The Chasm.** You have to build or partner for the whole product before the Early Majority will buy.

**Bowling Alley Strategy — Crossing the Chasm:**

Don't attack the whole mainstream market. Win one niche completely, then use it as a beachhead:

1. **Choose the head pin** — a niche with (a) acute pain, (b) reachable whole product, (c) accessible references, (d) adjacent to other niches
2. **Own the head pin completely** — 50%+ share in that niche before moving
3. **Knock the next pin** — adjacent niche where your head pin references carry weight
4. Repeat until mainstream momentum is self-sustaining

**Competitive Analysis Application:**

| Stage | Who's winning | What winning looks like | Strategic risk |
|-------|--------------|------------------------|----------------|
| **Innovation** | No clear winner | Prototype traction, developer interest | Building something nobody wants |
| **Early Adopter** | Most differentiated | Customer stories, visionary pilots | Burning runway without crossing the chasm |
| **Chasm** | Nobody yet — danger zone | Niche dominance + whole product | Diluting focus across too many niches |
| **Early Majority** | Whole product leader | References, integrations, channel | Incumbent lock-in before you arrive |
| **Late Majority** | Cost/distribution leader | Bundled offering, low TCO | Margin compression; feature parity becomes table stakes |
| **Laggards** | Commodity provider | Price, compliance, support SLAs | Stranded in a declining market |

**Assessment questions:**
1. Which adoption stage is this market currently in? (Look at: % of TAM that has bought anything in the category; whether buyers require references or will pioneer)
2. Where is each competitor positioned on the lifecycle?
3. Has any player successfully crossed the chasm? How? (Whole product + which niche?)
4. What is the whole product gap for your target segment in the next niche?
5. Which niche is the head pin for your bowling alley?

**Integration with other frameworks:**
- **Pre-chasm:** 7 Powers analysis matters less — moats are nascent. Focus on differentiation and vision.
- **At the chasm:** Wardley Mapping most useful — you need to see which components are commoditizing and which are still custom.
- **Post-chasm:** 7 Powers becomes decisive — who is accumulating Scale Economies, Switching Costs, Network Effects in the mainstream?

---

### Analytical Lenses (Applied Across All Frameworks)

#### Network Effects Taxonomy

| Category | Types | Strength | Vulnerability |
|----------|-------|----------|---------------|
| **Direct** | Physical, Protocol, Personal Utility, Market Network | Strongest | Requires critical mass; vulnerable before tipping |
| **2-Sided** | Marketplace, Platform, Asymptotic Marketplace | Strong but variable | Multi-tenanting weakens moat |
| **Data** | Data Network Effects | Often weaker than assumed | Asymptotic (5th data point adds more than 5000th) |
| **Tech Performance** | Performance improves with more users | Strong when genuine | Often confused with scale economies |
| **Social** | Language, Belief, Bandwagon, Tribal | Moderate (can fade) | Susceptible to cultural shifts |

**Critical questions:**
- Does the competitor *actually* have network effects, or merely scale effects? (Scale = costs decrease; NE = *value to users* increases)
- Same-side positive (rare, powerful — e.g., MS Office file sharing) or same-side negative (common — more sellers = more competition)?
- How asymptotic? (Uber: 4→2 min wait much less valuable than 8→4 min)
- Is multi-tenanting possible? If yes, moat is much weaker than it appears.

#### Switching Cost Decomposition

Never rate "high/medium/low." Decompose by type:

| Type | Description | Durability | Scoring Signal |
|------|-------------|-----------|----------------|
| **Financial** | Contractual penalties, repurchase costs | Low — money solves money problems | Contract terms, exit fees |
| **Procedural/Learning** | Time and effort to learn new system | Moderate — degrades as UX improves | Time-to-proficiency, training investment |
| **Data/Migration** | Moving data, losing history, reconfiguring integrations | High — grows with usage duration | Data volume, integration count, history depth |
| **Relational** | Loss of relationships, trust, accumulated reputation | Very high — can't be replicated | Relationship tenure, trust capital |
| **Identity** | Product is part of self-image ("I'm an Apple person") | Very high — psychological, not rational | Community participation, self-identification |
| **Work

…(truncated)