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+---
+description: Design a pricing strategy — models, competitive analysis, willingness-to-pay estimation, and pricing experiments
+argument-hint: "<product or pricing question>"
+---
+
+# /pricing -- Pricing Strategy Design
+
+Build a pricing strategy from first principles: analyze pricing models, estimate willingness to pay, benchmark against competitors, and design pricing experiments.
+
+## Invocation
+
+```
+/pricing SaaS project management tool moving from free to paid
+/pricing Should we switch from per-seat to usage-based pricing?
+/pricing [upload competitor pricing pages or current pricing data]
+```
+
+## Workflow
+
+### Step 1: Understand the Pricing Context
+
+Ask:
+- What is the product? What value does it deliver?
+- Current pricing (if any): model, price points, packaging
+- What's the trigger? (new product, pricing change, competitive pressure, growth stall)
+- Target customer profile and their budget context
+- Any constraints? (contractual obligations, market expectations, competitive positioning)
+
+### Step 2: Analyze Pricing Models
+
+Apply the **pricing-strategy** and **monetization-strategy** skills:
+
+Evaluate applicable models:
+- **Flat-rate**: Simple, predictable — best for commoditized products
+- **Per-seat/user**: Scales with adoption — best for collaboration tools
+- **Usage-based**: Aligns cost with value — best for infrastructure and API products
+- **Tiered**: Captures different willingness to pay — best for segmented markets
+- **Freemium**: Drives adoption — best for products with network effects
+- **Hybrid**: Combines models — best for complex products with multiple value levers
+
+For each relevant model: pros, cons, fit for your product, revenue projection approach.
+
+### Step 3: Competitive Pricing Analysis
+
+Using web research:
+- Benchmark pricing against 3-5 competitors
+- Identify pricing model patterns in the category
+- Note pricing trends (e.g., shift from per-seat to usage-based in B2B SaaS)
+- Find pricing page screenshots and data points
+
+### Step 4: Willingness to Pay Estimation
+
+If the user has survey data or customer feedback:
+- Apply Van Westendorp analysis (if data available)
+- Segment willingness to pay by user type
+
+If no data:
+- Estimate based on value delivered, competitive anchoring, and market norms
+- Design a willingness-to-pay survey the user can run
+
+### Step 5: Generate Pricing Recommendation
+
+```
+## Pricing Strategy: [Product]
+
+**Date**: [today]
+**Current pricing**: [if applicable]
+
+### Recommended Model: [Model Name]
+
+**Why this model**: [rationale tied to product value delivery]
+
+### Pricing Structure
+| Tier | Price | Includes | Target Segment | Key Limit |
+|------|-------|---------|---------------|-----------|
+
+### Free / Trial Strategy
+[What's free, what's gated, conversion triggers]
+
+### Competitive Benchmark
+| Competitor | Model | Price Range | Positioning |
+|-----------|-------|-----------|------------|
+
+### Revenue Projections
+| Scenario | Assumptions | Year 1 ARR | Year 2 ARR |
+|----------|-----------|-----------|-----------|
+| Conservative | [X] | [Y] | [Z] |
+| Expected | [X] | [Y] | [Z] |
+| Optimistic | [X] | [Y] | [Z] |
+
+### Migration Plan
+[If changing pricing: how to transition existing customers]
+- Grandfathering approach
+- Communication plan
+- Timeline
+
+### Pricing Experiments
+| Experiment | What We're Testing | Method | Duration |
+|-----------|-------------------|--------|----------|
+
+### Risks and Mitigations
+| Risk | Likelihood | Impact | Mitigation |
+|------|-----------|--------|-----------|
+
+### Key Metrics to Track
+- Conversion rate by tier
+- Average revenue per user (ARPU)
+- Upgrade/downgrade rates
+- Churn by price sensitivity
+- Price elasticity signals
+```
+
+Save as markdown.
+
+### Step 6: Offer Next Steps
+
+- "Want me to **create a monetization strategy** with alternative revenue models?"
+- "Should I **run a market scan** to validate pricing assumptions?"
+- "Want me to **draft customer communication** for the pricing change?"
+- "Should I **design the A/B test** for pricing experiments?"
+
+## Notes
+
+- Pricing is the most powerful lever for revenue growth — a 1% improvement in pricing typically has 3-4x the impact of 1% improvement in customer acquisition
+- Value-based pricing always beats cost-plus — start from customer value, not your costs
+- The best pricing is simple to understand and predictable for the customer
+- Freemium only works if free users generate value (network effects, word of mouth, marketplace liquidity)
+- Always design a migration path for existing customers — pricing changes that alienate your base destroy trust