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Pricing Sensitivity Model (Van Westendorp)

🔵 Stable🕐 updated 2026-07-06 🔷 SkillSpec L3 ⚙ ships an executable helper pm-calculators

Van Westendorp price sensitivity, computed from real survey answers — crossings found by interpolation, not read off a chart by eye. Use when someone has (or plans) the four-question pricing survey (too cheap / cheap / expensive / too expensive) and needs the optimal price point, the acceptable range, and a defensible readout. Produces OPP/IPP and the PMC–PME range, the four cumulative curves as data, and a real .xlsx with a live revenue what-if — via the bundled zero-dependency script.

▶ Run it free — no key needed 📝 Grade your existing draft View SKILL.md ↗

What to give it

Survey responses — per respondent, the four classic answers as prices: *too cheap* (quality suspect), *cheap* (a bargain), *expensive* (getting dear), *too expensive* (out of the question). 20+ valid responses for a stable read; the script warns below that and refuses below 5.
Segment splits (optional) — (optional) — the tool doesn't segment; run it per segment and compare, which is usually where the real finding is.

✅ The bar it holds itself to

Every skill in this library self-verifies — these are this skill's own quality checks, straight from its definition.

Crossings were computed by the script from the actual responses — never estimated from a description of the data
Valid n and dropped count are reported, with the warning surfaced when n < 20
Every acronym (OPP/IPP/PMC/PME) is glossed in plain words at first use
The recommended price is inside PMC–PME, and the OPP ≠ revenue-maximum distinction is stated
The "perception, not demand" caveat appears before any commitment language

⚠️ What it refuses to do

Do not fabricate or extend survey responses — with no data, deliver the survey design and stop
Do not read OPP as "the right price" — it is the least-resisted price, and premium strategies ignore it on purpose
Do not hide the dropped respondents — non-monotone answers are evidence about the survey, not noise to delete
Do not report a single point without the range — the range is the finding; the point is a summary of it
Do not pool segments that obviously differ (SMB with enterprise) — the pooled curves cross somewhere nobody actually is

Install

npx pm-claude-skills add --agent claude   # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y pm-claude-skills-mcp

Related skills

🔌 Embed this skill

Drop this on your blog, docs, or site — it renders a "Run this skill" card:

<div data-pm-skill="pricing-sensitivity-model"></div>
<script src="https://mohitagw15856.github.io/pm-claude-skills/embed.js" async></script>

💬 Discussion

Pricing Sensitivity Model (Van Westendorp) is one of 599 open-source professional AI agent skills — all SkillSpec L3. Try them all in the browser · ⭐ Star on GitHub · Browse the full catalog