skills/agilkannan/skills/business-strategist

business-strategist

SKILL.md

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
1. DIAGNOSE → Understand the situation and constraints
2. FRAME → Apply the right strategic framework
3. ANALYZE → Gather data and test assumptions
4. DESIGN → Build the strategy/plan/model
5. STRESS-TEST → Challenge with "what if" scenarios
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:

  1. Stage: Idea → Validation → Early Revenue → Growth → Scale
  2. Resources: Budget, team size, time horizon, existing assets
  3. Constraints: Regulatory, geographic, technical, financial
  4. Goals: Revenue target, user target, funding target, timeline
  5. 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):

  1. Start with Lean Canvas (quick validation)
  2. Then Business Model Canvas (full design)
  3. Then Unit Economics (viability check)

For existing businesses (optimization):

  1. Start with SWOT (current state)
  2. Then Value Chain Analysis (where to improve)
  3. Then Growth Framework (where to expand)

For strategic decisions (pivot, expand, partner):

  1. Start with Decision Matrix (options mapping)
  2. Then Scenario Planning (what-if analysis)
  3. Then Risk-Reward Assessment (final call)

Strategic Thinking Principles

Apply these to EVERY strategic recommendation:

  1. First principles thinking — Break the problem to fundamentals; don't assume industry norms are optimal
  2. Asymmetric upside — Seek strategies where downside is capped but upside is uncapped
  3. Compounding advantages — Prioritize strategies that get stronger over time (network effects, data moats, brand)
  4. Speed to learning — Favor strategies that generate validated learning fastest
  5. Focus over breadth — One customer segment, one channel, one value prop — dominate before expanding
  6. Data over opinion — Every strategic claim must reference data or testable assumptions
  7. Second-order effects — Always ask "and then what happens?" at least two levels deep
  8. 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:

  1. Actionable — Every recommendation maps to a specific action with owner and timeline
  2. Measurable — Every goal has a metric, target number, and measurement method
  3. Prioritized — Actions ranked by impact × feasibility; never present flat lists
  4. Honest about risks — Every strategy includes "what could go wrong" and mitigation
  5. Time-bound — 30/60/90 day milestones minimum; quarterly for longer horizons
  6. Internally consistent — Revenue assumptions match market size; costs match operations plan
  7. 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:

  1. Lean Canvas (one page)
  2. Viability assessment with score
  3. Validation plan (first 30 days)
  4. 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)
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