Collect product feedback — evaluate and prioritize features

Create professional Product Feedback in minutes — with AI support and no coding required.

Structured surveys for evaluating existing features and collecting requests for new features. AI summarizes the results.

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Product Feedback

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Benefits

  • Structured evaluation of existing features
  • AI summary prioritizes feature requests
  • Embed in app or website for contextual feedback

Product Feedback by Industry

Templates for Product Feedback

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Structuring feature voting

An open text field "What would you like to improve?" produces a wishlist that nobody can prioritize. A hundred entries with "Better performance", "More features" and "Nicer design" give the product team no basis for action. Structured feature voting solves the problem without taking freedom from users.

The build is two-stage: first a multiple-choice question with your top roadmap features ("Which of these planned features would help you most?"). Then an optional free-text field for own proposals. This gives you quantifiable data on known options plus qualitative input for the unknown — without the answers drowning in a swamp of thousands of free-text lines.

Honesty in voting matters. Do not only list features you intend to build anyway — that biases the result. Include two or three you are unsure about. If the uncertain ones suddenly top the vote, you have gained a valuable signal that saves you six months of roadmap debate.

Categorization for the roadmap

A common mistake in feedback evaluation: all answers go into one pot, then get sorted manually. Beyond 50 entries that quickly becomes a day job. Pre-categorization in the form saves the work — and delivers cleaner data.

The solution is two required fields right after the free text: "What is this about?" with options like "New feature", "Improve existing feature", "Bug", "Performance", "Documentation" and "Area" with options reflecting your product architecture (e.g. "Editor", "Reports", "Exports", "Mobile App"). Toggle both fields via conditional logic depending on answer type.

The categorization should be stable — do not change it every three months. Otherwise historical data becomes incomparable ("Did we get more bug reports last year?"). A coarser categorization with five to seven options is more useful long-term than a fine one with twenty — the fine one is rarely used in practice and deters respondents. AI summaries per category then give the quick overview.

Bridge to roadmap tools

Leaving feedback data in the form tool is suboptimal. Your roadmap lives in Linear, Jira, Productboard or another system — that is where tickets get scored, estimated and planned. Manually transferring every feedback entry is wasteful and leads to nobody opening the feedback tool after three weeks.

The solution is a webhook after each submission that creates the data as a ticket in the roadmap tool. The first time this requires a few hours of setup — after that it runs automatically. Required webhook payload fields: category, area, free text, customer segment, date. Optional: a unique submission ID so the roadmap ticket and source answer stay linked.

For aggregation: one roadmap ticket per feature request, not per submission. If 30 customers want the same thing, it becomes one ticket with vote-counter 30 — not 30 separate tickets. You achieve that with a short triage phase: one person checks new submissions once a week and merges duplicates. The AI summary can pre-cluster similar entries.

Idea vs. bug — clean separation

Bug reports and feature requests need different workflows. A bug goes to the engineering team prioritized by severity, a feature request to the product team prioritized by reach. A shared inbox leads to bugs getting buried in roadmap debate — and features being closed as "not a bug" during bug triage.

Separate this already in the form. The first question must be: "What do you want to report?" with three options: "Something does not work" (bug), "Something could be better" (improvement), "Something is missing" (feature). Conditional logic then shows the matching follow-up questions. For a bug: browser, version, reproduction steps, screenshot upload. For a feature: use case, frequency, workaround.

The webhook routes based on the first answer. Bugs go directly to the bug-tracking system with full reproduction. Feature requests land in the roadmap tool. Improvement suggestions enter a weekly triage list because they are context-dependent. Each team gets exactly the data it needs — and nobody is overwhelmed with someone else's work.

Closed-loop after implementation

A feature request without feedback to the requester is like a letter into a mailbox without reply — next time nobody writes anymore. Closed-loop means: when a requested feature goes live, the original requester gets a personalized mail. "You requested X — we built it, here is the link". This single mail dramatically raises the willingness to give future feedback.

Technically two building blocks are needed: at submission you store email and submission ID, in the roadmap ticket someone enters the submission IDs that match this feature. On release status "Done" a webhook triggers a bulk mail to all linked email addresses. With the activity log you can later trace which customer initiated which feature.

Honesty matters. If you will not build a feature, communicate that too — not every "no" is a lost customer. On the contrary: an honest rejection with reason ("does not fit our strategy because...") is often received more positively than six months of silence. A public roadmap as an addition creates additional transparency and reduces the frequency of status inquiries.