incentive-design

v2026.09.25

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

GitHub
Install command
npx skhub add gtmagents/incentive-design
Markdown
SKILL.md

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.

Discovery
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Version
Latest version metadata

Version

v2026.09.25

Published

Sep 25, 2026

Category

Uncategorized

License

Apache-2.0

Source path

plugins/referral-program-orchestration/skills/incentive-design

Default branch

main

Latest commit

78e0419

Tree SHA

9016d99