Feature Request Intake for Product Feedback
A premium model-agnostic prompt for turning vague feature requests into structured product feedback inside an existing app.
Premium prompt
Create add a feature request intake that turns solution requests into problem, frequency, workaround, and impact data. for an existing product surface. Full prompt includes timing, states, accessibility, mobile behavior, implementation notes, QA checklist, and source-informed rationale.
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CreatesCreates a feature request intake flow that captures the user problem, workaround, impact, and prioritization context for product teams.
Launch options: Pro - $14 per month or Lifetime - $79 one time. Checkout opens securely on Stripe and returns to your account for access verification.
Prompt brief
- Target keyword
- feature request form prompt
- Search intent
- Implementation intent: the searcher wants a better product feedback form that captures the user problem behind feature requests.
- Audience
- Product managers, founders, UX researchers, and customer-facing teams collecting product feedback
- Use case
- Add a feature request intake that turns solution requests into problem, frequency, workaround, and impact data.
- Recommendation
- Pro - deeper product workflow with prioritization, tagging, and analysis implications.
Expected result
- A feature request intake flow that captures the underlying job, current workaround, frequency, affected users, and optional contact consent without forcing users into roadmap jargon.
Implementation notes
- Connect fields to existing product area tags, feedback board statuses, CRM account metadata, or research repository labels.
- Do not require roadmap priority, revenue impact, or internal terminology from end users unless they are employees submitting internal requests.
- Deduplicate by title, product area, account, and similar request text, but allow distinct submissions when the use case differs.
- Emit events for intake opened, similar request shown, similar request selected, submitted, followed, and contact consent given.
Accessibility and responsive requirements
- Use labels and helper text that explain product terms in user language.
- Suggested matches must be keyboard navigable and announced as suggestions, not silently inserted.
- Optional and required fields must be clear; most qualitative fields should be optional unless necessary for triage.
- Error recovery must preserve long text and selected chips.
Quality checklist
- The flow captures the problem, workaround, and impact before proposed solution details.
- Similar-request suggestions help without blocking or erasing user input.
- The confirmation copy avoids shipping promises.
- The design supports tagging, dedupe, and follow-up consent.
- Mobile chip wrapping and text-entry behavior are specified.
Source-informed rationale
- NN/G survey-question guidance warns against asking users to predict behavior, so this prompt asks for current workarounds and recent frequency.
- NN/G feedback-analysis guidance supports grouping feedback into themes and issues over time.
- W3C label and instruction guidance supports plain-language helper text for specialized product terms.
Review notes
- Useful pro prompt, but weaker SEO evidence than lead forms; publish as part of the set rather than a standalone SEO bet first.
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