Nothing to hand? Load the — enterprise customers saving $200K and paying $15K — the , where one admin seat serves a thousand users, or the , which should come back hold.
Paste the situation
What the product is, what it charges, how it sells, what it costs to serve, what customers would do instead, and the numbers you have. The instant prescan reads it for free while you type and lists what it mechanically found: every dollar figure, percentage and metric, and every pricing-model mention — per-seat, usage-based, freemium, flat-rate, enterprise. The value-ratio calculator gives you the underpriced-to-expensive band before any AI runs.
The AI reviews it
A raise/hold/restructure verdict; severity-ranked findings across value capture, model fit, the free-to-paid boundary, enterprise structure, positioning, packaging, discounting and communication, each grounded in your own numbers and carrying the concrete change; a twelve-item pricing checklist scored pass, fail or not-observable; and an honest health check across five pricing areas. Every prescan fact is confirmed or explicitly set aside — including the false positives.
Take the plan and go
A recommended tier structure — names, prices, targets, what each includes and what triggers the upgrade — consistent with the verdict, plus the ordered next steps starting with something doable this week, the findings and tiers as CSV, review history saved to your account and mirrored on this device with restore, a pinnable baseline and a run-to-run diff (adjust, re-review, compare), and Markdown or JSON export.
Derived from the @github/gtm-technical-product-pricing skill (MIT).