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Checkout Friction Audit

Audit checkout friction points and prioritize fixes that improve completed purchases without increasing risk. Use when the user reports high add-to-cart but...
审核结账流程障碍,优先修复既能提升购买完成率又不增加风险的措施。当用户反馈加购量高但……时使用。
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数据分析 clawhub v1.0.1 2 版本 100000 Key: 无需
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概述

Checkout Friction Audit

Skill Card

  • Category: Conversion
  • Core problem: Which checkout steps are leaking intent and killing purchase completion?
  • Best for: Conversion rate recovery projects
  • Expected input: Checkout flow notes, abandonment signals, user complaints, policy constraints
  • Expected output: Friction map with severity, likely cause, and fix priority
  • Creatop handoff: Push fixes into sprint board and rerun after implementation

Browser-first guidance

If the checkout flow is accessible by URL or staging page, prefer OpenClaw managed browser for direct observation before producing recommendations.

Recommended order:

  1. Use any funnel notes, complaints, or screenshots the user already has.
  2. If live checkout pages are available, inspect them in OpenClaw managed browser.
  3. Use Browser Relay only when the user explicitly wants to inspect their current Chrome session.

Workflow

  1. Clarify where the drop appears to happen.
    • cart?
    • shipping step?
    • payment step?
    • mobile-specific issue?
  2. Map checkout path and identify complaint-linked touchpoints.
  3. Score friction by impact on completion and fix complexity.
  4. Separate UX friction from trust/compliance friction.
  5. Output top quick wins and structural fixes.

Output format

Return in this order:

  1. Executive summary (max 5 lines)
  2. Priority actions (P0/P1/P2)
  3. Evidence table (signal, confidence, risk)
  4. 7-day execution plan

Quality and safety rules

  • Tie each recommendation to observed evidence, not guesswork.
  • Prioritize reversible low-risk fixes first.
  • Avoid recommendations that violate platform/payment policies.
  • If the observed flow is partial, state that clearly.

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.

版本历史

共 2 个版本

  • v1.0.1 当前
    2026-03-29 23:12 安全 安全
  • v1.0.0
    2026-03-26 22:26

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

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