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pricing-experiment

Structure pricing experiments with competitor anchor analysis and A/B test design.

6|1|Updated May 13, 2026
Search Tags:#A/B testing#competitor analysis#value metric#pricing tiers#discount policy#pricing experiment#tier strategy
One-click install
npx skills add https://github.com/Xipher-Labs/walter-os --skill pricing-experiment
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pricing-experiment
Source: https://github.com/Xipher-Labs/walter-os/tree/main/skills/pricing-experiment
Command: npx skills add https://github.com/Xipher-Labs/walter-os --skill pricing-experiment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you stop guessing what to charge by turning pricing strategy and ICP signals into a structured tier plan and a testable A/B experiment design.

Core Features & Use Cases

  • Competitor anchor analysis: compares competitor starter and pro pricing to set your positioning and value metric assumptions.
  • 3-tier structure generation: produces a clear Starter / Pro / Scale setup aligned to personas, features, and CTAs.
  • Value metric + discount policy: recommends how you should charge (per-seat, usage-based, or outcome-based) and defines discount tactics to improve conversion and retention.
  • A/B test design: specifies variables, control vs variant, success metrics, minimum sample sizing guidance, and duration for validating your pricing decisions.

Quick Start

Ask the AI to run a pricing experiment using your product description, ICP details, up to five competitor pricing URLs, and your preferred value metric direction to generate anchor analysis, tier structure, and an A/B test plan.

Frequently Asked Questions about pricing-experiment

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

FAQPage Schema
How do I design an A/B test for pricing tiers?▼

To design an A/B test for pricing tiers, structure your experiment by defining control vs variant variables, success metrics, sample-size guidance, and test duration to validate your pricing decisions.

What is a value metric and how does it affect pricing strategy?▼

A value metric defines how you charge customers—per-seat, usage-based, or outcome-based—and directly impacts conversion and retention by aligning your pricing strategy with the value users get.

How do I use competitor pricing to set my tier strategy?▼

Use competitor anchor analysis to compare competitor starter and pro pricing, which sets your positioning and value metric assumptions to build a defensible three-tier Starter, Pro, and Scale construct.

Can I run a pricing experiment for both B2B and B2C products?▼

Yes, you can run a pricing experiment for both B2B and B2C products, as the approach structures tier redesigns, value metric recommendations, and discount policies based on your specific ICP details.

What do I need to prepare a defensible pricing logic for an investor deck?▼

To prepare defensible pricing logic for an investor deck, generate an anchor comparison table, a three-tier structure, and an A/B test design using your product description and competitor pricing URLs.

When should I redesign my pricing tiers after a discovery pivot?▼

Redesign your pricing tiers after a discovery pivot when your ICP shifts, requiring a new three-tier Starter, Pro, and Scale setup and an updated value metric recommendation to match new personas.

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