Cancellation Feedback Flow Without Dark Patterns
A premium model-agnostic prompt for adding cancellation feedback after cancel intent while preserving a clear cancellation path.
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Design jobA premium model-agnostic prompt for adding cancellation feedback after cancel intent while preserving a clear cancellation path.
Full brief692 words of prompt-specific direction. This complete prompt comes with 209 other premium prompts.
Visual proofPrompt-specific result preview included
Success standardCreates a respectful cancellation feedback flow with reason capture, optional follow-up, clear completion path, and churn-analysis metadata.
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Prompt brief
- Target keyword
- cancellation feedback survey prompt
- Search intent
- Commercial and implementation intent: the searcher wants a churn-feedback flow that captures reasons without frustrating canceling users.
- Audience
- SaaS founders, retention teams, customer success teams, and product designers improving existing subscription cancellation flows
- Use case
- Add a cancellation reason survey and optional recovery path after the user has clearly chosen to cancel.
- Recommendation
- Pro - higher business impact and higher risk because the flow can become coercive if mishandled.
Expected result
- A respectful cancellation feedback flow that captures churn reasons, supports optional recovery, and keeps cancellation completion obvious and accessible.
Implementation notes
- Reuse existing billing, destructive-action, confirmation, and alert components so the flow feels trustworthy and consistent.
- Store reason, optional comment, selected offer, skipped feedback, cancellation status, plan, tenure, and account segment for churn analysis.
- Do not block cancellation because analytics, feedback submission, or offer loading fails.
- Route urgent technical or support reasons to existing support workflows after cancellation is completed or explicitly paused by the user.
Accessibility and responsive requirements
- Use clear headings that distinguish feedback from final cancellation confirmation.
- Reason options must be keyboard and screen-reader friendly, with selected state conveyed beyond color.
- If a destructive confirmation is required, describe consequences in text and keep focus order predictable.
- Errors must not trap the user; provide a path to complete cancellation even if feedback submission fails.
Quality checklist
- The flow asks for feedback after cancel intent, not before.
- Cancellation remains clear, available, and not visually demoted behind retention options.
- Only one optional follow-up appears from the selected reason.
- The final confirmation explains billing, access, data, and reactivation details.
- The design avoids shame copy, confusing buttons, or forced support contact.
Source-informed rationale
- NN/G task-then-ask guidance supports asking for feedback after a meaningful completed or chosen action.
- NN/G survey-question guidance supports opt-outs, neutral wording, and avoiding unnecessary required questions.
- W3C and GOV.UK error guidance supports recoverable validation and focus behavior in high-stakes account flows.
Review notes
- High-value pro entry with reputational risk if implemented poorly; publish with strong dark-pattern language intact.
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