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Pricing Strategy

Pawel HurynCommunityCreated by Pawel Huryn

  • Skill
  • Content generator
  • Business and productivity
  • MIT
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From the author

Analyze and design pricing strategies including pricing models, competitive pricing analysis, willingness-to-pay estimation, and price elasticity. Use when setting prices, evaluating pricing models, preparing for a pricing change, or comparing freemium vs paid approaches.
— the description by Pawel Huryn

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a systematic approach to developing pricing strategies for products. It guides users through understanding value propositions, evaluating various pricing models (such as flat-rate, usage-based, or tiered), conducting competitive analysis, and estimating price sensitivity. The skill helps define clear pricing structures, feature gating, and value metrics, while also offering methods to plan pricing experiments and validate assumptions through data or sales conversations.

What it does

  • Analyzes core value propositions to determine appropriate pricing.
  • Evaluates and recommends pricing models like tiered, usage-based, or freemium.
  • Maps competitive pricing landscapes to identify market gaps.
  • Defines pricing tiers, feature gating, and value metrics.
  • Estimates price sensitivity using established methodologies.
  • Provides a structured template for pricing recommendations and risk mitigation.

When to use it

  • When setting initial pricing for a new product or service.
  • When evaluating or adjusting existing pricing models.
  • When preparing for a significant pricing change or pivot.
  • When comparing different monetization strategies like freemium versus paid.

Advantages

  • Grounds pricing decisions in objective value delivery rather than guesswork.
  • Provides a clear, standardized format for pricing recommendations.
  • Helps identify and mitigate risks associated with pricing changes.
  • Encourages data-driven validation through experiments and analysis.

Usage examples

“Help me design a pricing strategy for a new B2B SaaS project management tool.”
The agent will analyze the value proposition, suggest a per-seat or tiered model, compare it against competitors, and output a structured pricing table with key assumptions.
“I have survey data on customer price sensitivity. Can you help me interpret it to set our pricing?”
The agent will apply the Van Westendorp Price Sensitivity Meter to your data to identify optimal price points and provide a recommendation.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/phuryn/pricing-strategy/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip pricing-strategy.zip -d .agents/skills

Documentation by Pawel Huryn

Pricing Strategy

Design a pricing strategy grounded in value delivery, competitive positioning, and willingness to pay.

Context

You are developing a pricing strategy for $ARGUMENTS.

If the user provides files (competitor pricing, survey data, financial models, or usage data), read them first. Use web search to research competitor pricing if needed.

Instructions

  1. Understand the value delivered:

    • What is the core value proposition?

    • What is the customer's alternative (and its cost)?

    • What quantifiable outcomes does the product deliver? (time saved, revenue gained, cost reduced)

    • What is the customer's willingness to pay based on that value?

  2. Evaluate pricing models — recommend the best fit:

    ModelBest ForExample
    Flat-rateSimple products, predictable costsBasecamp ($99/mo flat)
    Per-seatCollaboration tools, team productsSlack, Figma
    Usage-basedInfrastructure, API productsAWS, Twilio
    TieredProducts with distinct user segmentsMost SaaS (Free/Pro/Enterprise)
    FreemiumProducts with viral/network effectsSpotify, Notion
    Freemium + usagePlatform productsVercel, OpenAI API
    Value-basedHigh-impact enterprise toolsSalesforce, Palantir

  3. Analyze competitive pricing:

    • Map competitor pricing tiers and what's included

    • Identify where your product sits (premium, mid-market, budget)

    • Find pricing gaps or opportunities

    • Note any industry pricing conventions

  4. Design the pricing structure:

    • Tiers: Define 2-4 tiers with clear differentiation

    • Feature gating: Which features go in which tier? (Use value metrics, not arbitrary limits)

    • Value metric: What unit do you charge on? (users, events, storage, API calls)

    • Anchor pricing: Set the most popular tier to feel like the obvious choice

    • Annual discount: Typically 15-20% off monthly pricing

  5. Estimate price sensitivity:

    • Van Westendorp Price Sensitivity Meter (if survey data available):

      • Too cheap → quality concerns

      • Cheap → good value

      • Expensive → starting to hesitate

      • Too expensive → won't buy

    • Alternatively, estimate based on competitor pricing and value delivered

  6. Plan pricing experiments:

    • A/B test pricing pages (different price points, tier names, feature bundles)

    • Founder-led sales conversations to test willingness to pay

    • Landing page tests with different price anchors

    • Cohort analysis of conversion rates by price point

  7. Output a pricing recommendation:

    Recommended Model: [Model type]
Value Metric: [What you charge on]

| Tier | Price | Target Segment | Key Features | Positioning |
|---|---|---|---|---|

Key Assumptions:
- [Assumption] → [How to test]

Risks:
- [Risk] → [Mitigation]

Think step by step. Save as markdown. Flag any assumptions that need validation before launch.

Further Reading

Files

LICENSE

MIT License

Copyright (c) 2026 Pawel Huryn

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Pawel Huryn
Publisher
Pawel Huryn (Community)
Source
phuryn/pm-skills · pm-product-strategy/skills/pricing-strategy · commit 2a12295
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Pawel Huryn.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download pricing-strategy.zip