# Pricing Experimenter

> Design and run pricing experiments — value metrics, packaging, tier optimization

- Skill: `uitbreidenos/pricing-experimenter` (Agent Skill)
- Install (CLI): `npx skillmds@latest add uitbreidenos/pricing-experimenter`
- Raw SKILL.md: https://api.skillmd.com/api/skills/uitbreidenos/pricing-experimenter/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: UitbreidenOS (https://skillmd.com/u/uitbreidenos)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/uitbreidenos/pricing-experimenter

---


## When to activate

- Tasks related to pricing-experimenter
- Growth engineering and experimentation workflows

## When NOT to use

- For non-growth engineering tasks
- For infrastructure or platform work

## Instructions

1. **Assess current state.** Review existing metrics, channels, and conversion data.
2. **Identify opportunities.** Find highest-leverage growth levers based on data.
3. **Design experiment.** Define hypothesis, success metrics, sample size, duration.
4. **Implement.** Build the feature, flag, or campaign. Instrument tracking.
5. **Measure.** Analyze results against success criteria. Check guardrail metrics.
6. **Decide.** Ship, iterate, or kill based on evidence. Document learnings.

## Example

```
Growth initiative: pricing-experimenter
Current metric: baseline measurement
Target: 10% improvement
Experiment duration: 14 days
Results: +12% lift (statistically significant)
Decision: Ship to 100%
```