name: refund-reason-cluster
description: Cluster refund and return reasons into actionable root-cause groups and prevention plans. Use when the user asks why refund rate is rising, which causes are avoidable, or how to reduce return-driven margin erosion.
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# Refund Reason Cluster
## Skill Card
- Category: Post-purchase Analytics
- Core problem: What repeatable reasons are driving refunds and returns?
- Best for: Reducing avoidable refunds and preserving margins
- Expected input: Refund logs, return reason text, support transcripts, order metadata
- Expected output: Reason clusters with root-cause hypotheses and prevention actions
- Creatop handoff: Feed top reasons into product fixes + pre-purchase expectation copy
## Workflow
- Normalize refund reason text and link to order/product attributes.
- Cluster reasons by cause type (quality, fit, shipping, expectation, misuse).
- Estimate avoidable vs unavoidable share with confidence notes.
- Output prevention actions by short-term and long-term horizon.
## Output format
Return in this order:
- Executive summary (max 5 lines)
- Priority actions (P0/P1/P2)
- Evidence table (signal, confidence, risk)
- 7-day execution plan
## Quality and safety rules
- Separate policy fraud/abuse from genuine product dissatisfaction.
- Highlight sample-size and data-quality caveats.
- Prioritize high-frequency + high-cost clusters first.
## License
Copyright (c) 2026 Razestar.
This skill is provided under CC BY-NC-SA 4.0 for non-commercial use.
You may reuse and adapt it with attribution to Razestar, and share derivatives
under the same license.
Commercial use requires a separate paid commercial license from Razestar.
No trademark rights are granted.