alexe-ev Support Pricing & Packaging
Purpose
Help teams structure and analyze pricing and packaging decisions aligned with customer value and business objectives.
Skill type
Conceptual skill with analytical components
Use this skill when
- A new product or feature needs a pricing decision
- Current pricing is creating customer friction or revenue leakage
- The team is designing packaging tiers or bundles
- Pricing needs to be revised as the product evolves
Do not use this skill when
- Pricing research data needs deep statistical analysis (use data-analytics skills)
- The goal is positioning or messaging (use develop-positioning-messaging)
Required inputs
- Product or feature being priced
- Target customer segment
- Business model (subscription, usage-based, one-time, freemium)
Optional inputs
- Current pricing structure
- Customer feedback on pricing
- Competitor pricing
- Unit economics data
- Value metrics (what customers pay for)
Upstream context
Works best when:
- Target segment and ICP are defined
- Product value is understood
- Competitive landscape is known
If upstream context is missing
Provide a pricing framework with options, but flag that the right choice depends on value metric and WTP data.
Downstream handoff
Output can feed:
- plan-product-launch (pricing communication for launch)
- build-business-case (pricing feeds revenue projections)
Instructions
- Identify the value metric (what customers get more/less of as they pay more).
- Review current pricing model and identify friction points.
- Map packaging options to customer segments.
- Evaluate 2–3 pricing structures with trade-offs.
- Recommend packaging tiers with rationale.
- Identify validation steps (pricing research, customer interviews).
Output
Provide:
- Value metric identification
- Pricing model options with trade-offs
- Recommended packaging structure and tiers
- Rationale per tier
- Validation steps before finalizing
- Risks and open questions
Risks / caveats
- Pricing changes are high-stakes and hard to reverse — always validate before shipping
- Willingness-to-pay data must come from customers, not internal assumptions
- Freemium only works when conversion logic is clear