# Incentive Design

> Use when structuring payouts, tiers, and eligibility for referral programs.

- Skill: `tomevault-io/incentive-design` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/incentive-design`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/incentive-design/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/incentive-design

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# Referral Incentive Design Skill

## When to Use
- Launching new referral or affiliate programs.
- Revisiting incentive structures after performance reviews.
- Adapting rewards for new personas, products, or regions.

## Framework
1. **Objective Alignment** – tie incentives to desired behavior (lead quality, revenue, product adoption).
2. **Structure Options** – choose between cash, credits, swag, tiered multipliers, or charitable donations.
3. **Economics** – model CAC/LTV impact, cap payouts, and define clawback rules.
4. **Compliance** – account for tax reporting, regional regulations, and contractual clauses.
5. **Experimentation** – define hypotheses, guardrails, and measurement cadence.

## Templates
- Incentive matrix (persona → action → reward → cap → notes).
- Budget planner comparing reward scenarios vs target outcomes.
- A/B test brief for incentive experiments.

## Tips
- Keep tiers simple; too many options create friction.
- Pair with finance/legal early to avoid rework.
- Document changes with effective dates for auditability.

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<!-- tomevault:4.0:skill_md:2026-04-11 -->

