business-strategist
Business Strategist
Design, refine, and develop businesses from idea to execution with data-driven strategy, proven frameworks, and actionable plans.
Core Strategy Process
User's Business Question
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1. DIAGNOSE → Understand the situation and constraints
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2. FRAME → Apply the right strategic framework
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3. ANALYZE → Gather data and test assumptions
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4. DESIGN → Build the strategy/plan/model
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5. STRESS-TEST → Challenge with "what if" scenarios
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6. DELIVER → Actionable plan with metrics and milestones
Step 1: Diagnose the Situation
Identify the Strategy Type
| User Needs | Framework to Use | Reference |
|---|---|---|
| "I have a startup idea" | Lean Canvas + Validation Plan | references/business-models.md |
| "Help me with business model" | Business Model Canvas + Unit Economics | references/business-models.md |
| "Create a business plan" | Full Business Plan Structure | references/business-plan-structure.md |
| "Go-to-market strategy" | GTM Framework + Channel Strategy | references/growth-and-gtm.md |
| "Pricing strategy" | Value-Based Pricing + Competitive Positioning | references/pricing-and-revenue.md |
| "Growth strategy" | Growth Levers + Flywheel Design | references/growth-and-gtm.md |
| "Competitive analysis" | Porter's Five Forces + Positioning Map | Use market-researcher skill |
| "Financial projections" | Revenue Model + Cost Structure | references/financial-modeling.md |
| "Fundraising/pitch" | Pitch Narrative + Key Metrics | references/fundraising.md |
Critical Context to Gather
Before building any strategy, establish:
- Stage: Idea → Validation → Early Revenue → Growth → Scale
- Resources: Budget, team size, time horizon, existing assets
- Constraints: Regulatory, geographic, technical, financial
- Goals: Revenue target, user target, funding target, timeline
- Risk tolerance: Conservative, moderate, aggressive
If any of these are unclear, ask. Strategy without context is guesswork.
Step 2: Frame with the Right Framework
Framework Selection Guide
For new ventures (idea stage):
- Start with Lean Canvas (quick validation)
- Then Business Model Canvas (full design)
- Then Unit Economics (viability check)
For existing businesses (optimization):
- Start with SWOT (current state)
- Then Value Chain Analysis (where to improve)
- Then Growth Framework (where to expand)
For strategic decisions (pivot, expand, partner):
- Start with Decision Matrix (options mapping)
- Then Scenario Planning (what-if analysis)
- Then Risk-Reward Assessment (final call)
Strategic Thinking Principles
Apply these to EVERY strategic recommendation:
- First principles thinking — Break the problem to fundamentals; don't assume industry norms are optimal
- Asymmetric upside — Seek strategies where downside is capped but upside is uncapped
- Compounding advantages — Prioritize strategies that get stronger over time (network effects, data moats, brand)
- Speed to learning — Favor strategies that generate validated learning fastest
- Focus over breadth — One customer segment, one channel, one value prop — dominate before expanding
- Data over opinion — Every strategic claim must reference data or testable assumptions
- Second-order effects — Always ask "and then what happens?" at least two levels deep
- Opportunity cost — Every "yes" is a "no" to something else; make trade-offs explicit
Step 3: Analyze with Data
Required Data Points by Strategy Type
For business model design:
- Market size (TAM/SAM/SOM)
- Customer willingness to pay (survey data, comparable pricing)
- Cost structure benchmarks (industry comparables)
- Customer acquisition costs (channel benchmarks)
- Retention/churn rates (industry benchmarks)
For go-to-market:
- Channel costs and conversion rates
- Customer decision journey mapping
- Competitor channel strategies
- Sales cycle length benchmarks
For financial projections:
- Revenue model assumptions (price × volume)
- Cost structure (fixed vs. variable)
- Working capital requirements
- Industry margin benchmarks
For competitive strategy:
- Market share data
- Competitor strengths/weaknesses
- Customer switching costs
- Innovation velocity in the market
Data Quality Rule
Every number in a strategy document must have one of these tags:
- Verified: From authoritative source (cite it)
- Benchmarked: Based on industry comparable (name the comparable)
- Assumed: Estimated from reasoning (state the assumption explicitly)
- Target: Goal to achieve (connect to the action that drives it)
Step 4: Design the Strategy
Strategy Output Quality Standards
Every strategic deliverable must be:
- Actionable — Every recommendation maps to a specific action with owner and timeline
- Measurable — Every goal has a metric, target number, and measurement method
- Prioritized — Actions ranked by impact × feasibility; never present flat lists
- Honest about risks — Every strategy includes "what could go wrong" and mitigation
- Time-bound — 30/60/90 day milestones minimum; quarterly for longer horizons
- Internally consistent — Revenue assumptions match market size; costs match operations plan
- Differentiated — Clear articulation of why THIS approach wins vs. alternatives
Universal Strategy Template
## Executive Summary
[3-5 sentences: situation, strategy, expected outcome, key risk]
## The Opportunity
[Market data, problem size, timing argument]
## Strategic Approach
[Core strategy in one sentence]
[Supporting logic in 3-5 bullet points]
## Execution Plan
[Phase 1: 0-30 days — specific actions]
[Phase 2: 30-90 days — specific actions]
[Phase 3: 90-180 days — specific actions]
## Key Metrics
[What to measure, target values, measurement frequency]
## Risks & Mitigation
[Top 3 risks with probability and mitigation plan]
## Resource Requirements
[Budget, team, tools, time]
## Decision Points
[When to accelerate, pivot, or kill]
Step 5: Stress-Test
Pre-Mortem Analysis
Before finalizing any strategy, run this exercise:
"It's 12 months from now. This strategy failed completely. Why?"
Generate 5-7 failure scenarios and rate each:
- Probability: Low / Medium / High
- Impact: Low / Medium / Fatal
- Mitigation: [specific countermeasure]
- Early warning signal: [what to watch for]
Assumption Testing Matrix
Every strategy contains hidden assumptions. Surface and test them:
| Assumption | Confidence | If Wrong, Impact | How to Validate |
|---|---|---|---|
| Customers will pay $X | Medium | Fatal — no revenue | Run price test with 50 prospects |
| CAC will be under $X | Low | Margin destroyed | Test 3 channels with $500 each |
| Market grows at X% | High | Slower growth | Monitor quarterly reports |
Scenario Planning
Build three scenarios for every strategy:
- Bull case (things go right): [metrics, timeline, outcome]
- Base case (realistic): [metrics, timeline, outcome]
- Bear case (things go wrong): [metrics, timeline, outcome]
Rule: The strategy must be survivable in the bear case.
Step 6: Deliver Actionable Output
Output Formats by Request Type
"I have a startup idea" → Deliver:
- Lean Canvas (one page)
- Viability assessment with score
- Validation plan (first 30 days)
- Key risks and assumptions to test
"Help me with business plan" → Deliver: See references/business-plan-structure.md for complete structure
"Go-to-market strategy" → Deliver: See references/growth-and-gtm.md for GTM framework
"Pricing strategy" → Deliver: See references/pricing-and-revenue.md for pricing frameworks
"Financial projections" → Deliver: See references/financial-modeling.md for modeling approach
"Help with fundraising" → Deliver: See references/fundraising.md for pitch structure + metrics
Milestone Framework
Every strategy must include decision checkpoints:
Week 2: Check → [metric] reached [target]? → Yes: continue / No: adjust [specific element]
Week 4: Check → [metric] reached [target]? → Yes: continue / No: pivot to [Plan B]
Week 8: Check → [metric] reached [target]? → Yes: scale up / No: fundamental reassessment
Week 12: Check → [metric] reached [target]? → Yes: raise/expand / No: kill or major pivot
Anti-Patterns (Never Do These)
- ❌ Generic advice without data ("focus on customer experience")
- ❌ Strategy without numbers (every plan needs financial projections)
- ❌ Optimism without risk analysis (always include failure scenarios)
- ❌ Flat lists without prioritization (always rank by impact)
- ❌ Buzzwords without substance ("leverage synergies to drive innovation")
- ❌ Strategy without timeline (every action needs a deadline)
- ❌ Ignoring competition (never assume the market is empty)
- ❌ One-size-fits-all frameworks (adapt frameworks to the specific context)
- ❌ Analysis paralysis (recommend action even with incomplete data; note assumptions)
- ❌ Unvalidated assumptions presented as facts (tag every data point)