wehub-resource-sync
1.8 KiB
description, argument-hint
| description | argument-hint |
|---|---|
| Pricing model selection (subscription / usage / value / hybrid), Van Westendorp WTP analysis, packaging design. Recommends a model + range, never a specific number. Direct invocation of the pricing-strategist skill. | <pricing context: industry, deal size, customer count, value drivers> |
/cs:pricing-strategy — Pricing model + WTP + packaging
Run the pricing-strategist skill on this input:
$ARGUMENTS
Three-tool workflow
-
pricing_model_picker.py— Rank 5 pricing models (subscription seat-based, usage-based, value-based, freemium, hybrid) with fit-score 0-100 each. Industry tuning via--profile {saas,api,ai-tools,enterprise-software,marketplace}. Deterministic logic — consumption pattern + value drivers map to model fit. -
wtp_analyzer.py— Van Westendorp Price Sensitivity Meter. Takes survey responses (4 prices per respondent: too cheap, bargain, getting expensive, too expensive). Computes OPP / IDP / PMC / PME intersections. Outputs Range of Acceptable Prices + Optimal Price Point (with N<30 sample-size warning). -
packaging_designer.py— 3-tier (Good/Better/Best) packaging recommendation with feature-to-tier assignment based on importance + segment fit. Flags anti-patterns: "no differentiation", "Best > 2x price with < 1.5x value".
Output
- Pricing model recommendation (model + range)
- WTP analysis (4 price points + RAP + OPP)
- Packaging design (3-tier feature map)
Hard rule
This skill never recommends a specific price. It recommends a model and a range. The human picks the number.
Distinct from
cs-deal-desk— that's per-deal discount approval.c-level-advisor/cmo-advisor— that's positioning + brand.c-level-advisor/cro-advisor— that's strategic revenue motion.