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blue-ocean-strategy
Blue Ocean Strategy analysis using ERRC framework and Strategy Canvas. Use when: blue ocean, market differentiation, competitive strategy, value innovation, ERRC framework, strategy canvas, new market space, competitive analysis.
Full skill instructions
<quick_start> Analyze market position:
/blue-ocean analyze [industry/company]
Claude will generate:
<core_concepts>
| Aspect | Red Ocean | Blue Ocean |
|---|---|---|
| Market Space | Compete in existing market | Create uncontested market |
| Competition | Beat the competition | Make competition irrelevant |
| Demand | Exploit existing demand | Create and capture new demand |
| Value/Cost | Make value-cost trade-off | Break the value-cost trade-off |
| Strategy | Align with differentiation OR low cost | Pursue differentiation AND low cost |
The cornerstone of Blue Ocean Strategy:
Traditional thinking: Higher value = Higher cost
Lower cost = Lower value
Value Innovation: Higher value + Lower cost = New market space
How it works:
A diagnostic and action framework showing:
High │ * * ← Your Blue Ocean Curve
│ /│\ /│\
│ / │ \ / │ \
│ / │ \ / │ \ *
│/ │ \ / │ \ /│\
│ │ \/ │ \/ │
│ │ /\ │ /\ │
│ │ / \ │ / \ │
│ │ / \ │ / \│
Low │ │ / \ │ / * ← Industry Average
└────┴─────────┴─────────────
Factor Factor Factor
1 2 3
</core_concepts>
<errc_framework>
| Action | Question | Purpose |
|---|---|---|
| Eliminate | Which factors that the industry takes for granted should be eliminated? | Remove elements that no longer add value or have become hygiene factors |
| Reduce | Which factors should be reduced well below the industry's standard? | Strip away over-designed features that increase cost without adding value |
| Raise | Which factors should be raised well above the industry's standard? | Address compromises the industry forces on customers |
| Create | Which factors should be created that the industry has never offered? | Discover entirely new sources of value for buyers |
┌─────────────────────────────────┬─────────────────────────────────┐
│ ELIMINATE │ REDUCE │
│ │ │
│ • Factor 1 │ • Factor 1 │
│ • Factor 2 │ • Factor 2 │
│ • Factor 3 │ • Factor 3 │
│ │ │
├─────────────────────────────────┼─────────────────────────────────┤
│ RAISE │ CREATE │
│ │ │
│ • Factor 1 │ • Factor 1 │
│ • Factor 2 │ • Factor 2 │
│ • Factor 3 │ • Factor 3 │
│ │ │
└─────────────────────────────────┴─────────────────────────────────┘
| Action | Factors |
|---|---|
| Eliminate | Star performers, animal shows, aisle concessions, multiple show arenas |
| Reduce | Fun and humor, thrill and danger |
| Raise | Unique venue, artistic music and dance |
| Create | Theme, refined watching environment, multiple productions |
| Action | Factors |
|---|---|
| Eliminate | Meals, lounges, seating choices, hub connections |
| Reduce | Price, airport wait time |
| Raise | Friendly service, speed, frequent departures |
| Create | Point-to-point travel between secondary airports |
| Action | Factors |
|---|---|
| Eliminate | Wine complexity, aging quality, vineyard prestige |
| Reduce | Wine range, price |
| Raise | Retail store involvement, easy drinking |
| Create | Fun and adventure, easy selection |
</errc_framework>
<six_paths_framework>
Question: What are the alternative industries to your industry?
Example: NetJets
- Alternative to commercial airlines AND private jet ownership
- Combined reliability of commercial with flexibility of private
- Created fractional jet ownership industry
Analysis Steps:
Question: What strategic groups exist in your industry?
Example: Curves Fitness
- Strategic groups: Upscale gyms vs. home exercise
- Combined: Simple gym experience + affordable + female-only
- Result: New strategic group
Analysis Steps:
Question: Who are the purchasers, users, and influencers?
| Role | Definition | Example |
|---|---|---|
| Purchasers | Pay for product | Corporate IT dept |
| Users | Actually use product | Employees |
| Influencers | Shape buying decision | Analysts, reviewers |
Example: Novo Nordisk Insulin
- Industry focused on: Doctors (influencers)
- Novo Nordisk focused on: Patients (users)
- Created: NovoPen (easy self-injection)
Analysis Steps:
Question: What happens before, during, and after your product is used?
Example: Borders Bookstore (original concept)
- Before: Getting to store
- During: Finding books, reading
- After: Getting coffee, discussing
- Created: Coffee shops in bookstores, reading chairs
Analysis Steps:
Question: Is your industry competing on function or emotion?
| Current Appeal | Opportunity |
|---|---|
| Functional | Add emotional elements |
| Emotional | Strip to functional core |
Example: Swatch
- Watch industry: Functional (timekeeping)
- Swatch: Emotional (fashion accessory)
- Transformed watches into statement pieces
Analysis Steps:
Question: What trends have high probability of impacting your industry?
Trend Criteria:
Example: Apple iTunes
- Trend: Digital music distribution
- Industry response: Fighting piracy
- Apple response: Created legal, convenient digital music store
Analysis Steps:
</six_paths_framework>
<strategy_canvas_analysis>
List factors your industry competes on:
Factors typically include:
- Price
- Quality/Performance
- Features/Options
- Service level
- Brand/Status
- Convenience
- Technology
- Network effects
- Industry-specific factors
For each factor, score the industry average (1-5 scale):
1 = Very low offering
2 = Below average
3 = Industry average
4 = Above average
5 = Very high offering
Score each major competitor on the same factors.
Score your company's current offering.
Apply ERRC to create a divergent value curve:
| Factor | Industry | Competitor A | Competitor B | Your Blue Ocean |
|---------------|----------|--------------|--------------|-----------------|
| Price | 3 | 4 | 2 | 2 (Reduce) |
| Quality | 3 | 4 | 3 | 5 (Raise) |
| Complexity | 4 | 5 | 4 | 0 (Eliminate) |
| Convenience | 2 | 2 | 3 | 5 (Raise) |
| Fun Factor | 1 | 1 | 1 | 4 (Create) |
| Service | 3 | 4 | 2 | 3 (Maintain) |
</strategy_canvas_analysis>
<scoring_algorithm>
def calculate_blue_ocean_index(analysis):
# Market attractiveness (30 points)
market_size = score(1-10) * 1.5 # Max 15
growth_potential = score(1-10) * 1.5 # Max 15
# Differentiation potential (30 points)
eliminate_impact = count_eliminates * 5 # Max 15
create_impact = count_creates * 5 # Max 15
# Feasibility (20 points)
resource_availability = score(1-10) * 1.0 # Max 10
execution_complexity = (10 - score(1-10)) * 1.0 # Max 10
# Risk assessment (20 points)
imitation_barrier = score(1-10) * 1.0 # Max 10
adoption_likelihood = score(1-10) * 1.0 # Max 10
return sum([
market_size, growth_potential,
eliminate_impact, create_impact,
resource_availability, execution_complexity,
imitation_barrier, adoption_likelihood
])
| Score Range | Assessment | Recommendation |
|---|---|---|
| 80-100 | Strong Blue Ocean | Prioritize execution |
| 60-79 | Promising | Refine ERRC, validate assumptions |
| 40-59 | Moderate | Re-examine paths, find better angle |
| 0-39 | Weak | Fundamental rethink needed |
Before committing:
| Tier | Description | Example |
|---|---|---|
| First Tier | "Soon-to-be" noncustomers on edge of market | Waiting for better alternative |
| Second Tier | "Refusing" noncustomers who consciously chose against | Don't see value in current offerings |
| Third Tier | "Unexplored" noncustomers in distant markets | Never considered the industry |
</scoring_algorithm>
<example_session>
User: Apply blue ocean strategy to the legal services market for small businesses
Competitive Factors (Industry Average):
| Factor | Score | Notes |
|---|---|---|
| Lawyer expertise | 4 | High, premium pricing |
| Personalization | 3 | Moderate customization |
| Price | 2 | Expensive ($200-500/hr) |
| Convenience | 2 | Office visits, scheduling |
| Speed | 2 | Slow turnaround |
| Trust/Brand | 3 | Varies by firm |
| Document quality | 4 | High, human-reviewed |
| Accessibility | 2 | Limited hours, locations |
| Ongoing support | 2 | Billable hours model |
Factor Industry LegalZoom Our Blue Ocean
───────────────────────────────────────────────────────
Lawyer expertise 4 2 3
Personalization 3 2 4 (Raise)
Price 2 4 5 (Reduce cost)
Convenience 2 4 5 (Raise)
Speed 2 3 5 (Raise)
Trust/Brand 3 3 3
Document quality 4 3 4
Accessibility 2 4 5 (Raise)
Ongoing support 2 2 4 (Raise)
AI assistance 0 1 5 (Create)
Compliance monitoring 0 0 5 (Create)
Risk dashboard 0 0 4 (Create)
| Component | Score | Max |
|---|---|---|
| Market size | 14 | 15 |
| Growth potential | 13 | 15 |
| Eliminate impact | 12 | 15 |
| Create impact | 15 | 15 |
| Resource availability | 7 | 10 |
| Execution complexity | 6 | 10 |
| Imitation barrier | 7 | 10 |
| Adoption likelihood | 8 | 10 |
Assessment: Strong Blue Ocean opportunity. AI capability creates meaningful barrier. Target first-tier noncustomers (small businesses using templates) and second-tier (businesses avoiding legal services due to cost).
Tagline: "Your AI legal partner—always on, always affordable."
</example_session>
<success_criteria> Analysis is successful when:
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