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willingness-to-pay-discovery

Identify and quantify customer willingness to pay through structured interviews and relative value mapping.

23|2|Updated Feb 10, 2026
Search Tags:#pricing#willingness-to-pay#product-discovery#customer-research#feature-prioritization#value-mapping
One-click install
npx skills add https://github.com/luisschmitzheadline/VC-Skills.md --skill willingness-to-pay-discovery
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: willingness-to-pay-discovery
Source: https://github.com/luisschmitzheadline/VC-Skills.md/tree/main/knowledge_skills/due_diligence/skillsmp-willingness-to-pay
Command: npx skills add https://github.com/luisschmitzheadline/VC-Skills.md --skill willingness-to-pay-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Pricing decisions often rely on guesswork rather than structured insight into customers' willingness to pay. This framework guides teams to uncover perceived value and align product roadmap and pricing with real customer value.

Core Features & Use Cases

  • Relative Value Mapping to compare perceived value against competitors.
  • Identifying Psychological Thresholds to map price vs. customer acceptance.
  • Purchase Probability and Feature Prioritization to sort features by willingness-to-pay.
  • Packaging guidance (Leaders, Fillers, Killers) for bundling products and pricing tiers.
  • Use Case: A product team shifts from a one-size-fits-all model to tiered pricing after WTP interviews.

Quick Start

Run a Most/Least feature prioritization with customer interviews to surface the top value drivers that customers will pay for.

Frequently Asked Questions about willingness-to-pay-discovery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I measure customer willingness to pay for product pricing decisions?▼

You measure customer willingness to pay by conducting structured interviews, performing relative value mapping against competitors, and analyzing psychological thresholds to guide pricing and roadmap decisions.

What is the best way to prioritize features based on perceived customer value?▼

The best way to prioritize features by perceived value is running Most/Least feature prioritization during customer interviews to surface top value drivers and categorize them into leaders, fillers, and killers.

How do I use willingness to pay analysis to create tiered packaging?▼

Use willingness to pay analysis to create tiered packaging by mapping purchase probability and sorting features into leaders, fillers, and killers to structure product bundles and pricing tiers effectively.

Can I apply willingness to pay discovery for both B2B and B2C products?▼

Yes, you can apply willingness to pay discovery for both B2B and B2C products during discovery, feature validation, and pricing experiments to align product roadmaps with real customer value.

When should I use relative value mapping in my pricing strategy?▼

You should use relative value mapping in your pricing strategy when you need to compare your product's perceived value against competitors to validate pricing thresholds and purchase probability.

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