Complete question set and shorter variants
Product feedback form template
Ask questions tied to real product decisions, label every scale, and give useful responses a clear place to go next.
Copy the complete product feedback form
The full question set combines respondent context, three different experience measures, product-use detail, open responses, feature importance, and follow-up consent. Use it for a broad product review when every answer supports a defined decision. Shorter, event-based forms appear later in this guide.
Replace every placeholder before publishing. Use role and feature options respondents recognize, state the estimated time honestly, and make contact optional. Preview the form on a phone and complete it once yourself to catch confusing scale direction, required questions, and answer options that overlap.
Product feedback form markdown
# Product feedback form
## Introduction and purpose
Thank you for helping us improve [Product name]. This form asks about your experience, the job you use the product for, and the changes that would matter most. It should take about [X] minutes.
1. What best describes you?
- [Role or segment 1]
- [Role or segment 2]
- [Role or segment 3]
- Other: [Open response]
2. Overall, how satisfied are you with [Product name]?
- CSAT scale: 1 = Very dissatisfied, 5 = Very satisfied
3. How easy or difficult was it to complete your main task today?
- CES scale: 1 = Very difficult, 7 = Very easy
4. Which feature do you use most often?
- [Feature list or open response]
5. What problem does [Product name] solve for you?
- [Open response]
6. Where do you experience the most friction?
- [Open response]
7. What is the one improvement you want most?
- [Open response]
8. How important are the following features to you?
- Rate each item: 1 = Not important, 5 = Essential
- [Feature or capability 1]
- [Feature or capability 2]
- [Feature or capability 3]
9. How likely are you to recommend [Product name] to a friend or colleague?
- NPS scale: 0 = Not at all likely, 10 = Extremely likely
10. Is there anything else you would like us to know?
- [Open response]
11. May we contact you to follow up on this feedback?
- Yes, contact me at: [Email]
- No, please keep this response as feedback only
## Thank-you close
Thank you. We review every response and use the combined evidence to guide product decisions. If you requested follow-up, we may contact you for more context.
What each question tells you
Introduction, purpose, and segmentation
Tell respondents why the form exists, what experience it covers, how long it takes, and what will happen to the answers. A clear purpose improves the chance that people describe the relevant experience instead of reviewing the whole company. Avoid a broad promise that every suggestion will become a feature.
Ask one segmentation question only when the distinction changes how you will interpret or act on the response. Role, use case, plan type, experience level, or customer stage may matter. Use options respondents can answer confidently and include Other when the list is not complete.
CSAT satisfaction
Customer Satisfaction Score asks how satisfied someone is with a product or recent interaction. The template uses 1 for Very dissatisfied and 5 for Very satisfied. Keep the same direction across forms and state both endpoints so respondents do not have to guess whether a higher number is better.
Tie the question to a time or experience when possible. Overall satisfaction is useful for a broad review. Satisfaction with a completed export, support interaction, or onboarding step is more diagnostic. Do not compare scores from differently worded contexts as if they measure the same experience.
CES ease of use
Customer Effort Score asks how easy or difficult it was to complete a task. The template uses a 1 to 7 scale with Very difficult and Very easy at the endpoints. Ask immediately after a meaningful workflow when the steps and friction are still easy to recall.
Name the task rather than asking whether the whole product is easy. A user may find board setup simple and data export difficult. The specific question points to an area for investigation, while an overall ease rating can average several unrelated experiences into a number with no clear owner.
Feature use and the problem solved
Most-used feature provides behavioral context in the respondent's own account. Offer a short recognizable list when the product surface is stable, or use an open response when naming differs by audience. This answer helps separate feedback about a primary workflow from feedback about something used rarely.
Asking what problem the product solves moves beyond feature preference. The response can reveal the job, desired outcome, alternative process, and language customers use to describe value. Preserve that language before translating it into an internal category or proposed feature.
Friction and the most-wanted improvement
The friction question asks where progress slows, becomes confusing, or requires a workaround. It invites a problem rather than a preselected solution. Follow up on the point in the workflow, frequency, consequence, and current alternative when the respondent gives permission.
Asking for one most-wanted improvement forces a useful tradeoff. The answer is still a request, not a commitment or complete specification. Combine similar responses, identify the underlying problem, and compare the repeated demand with strategy, impact, effort, risk, and evidence from other sources.
Feature importance
Importance ratings compare a defined set of capabilities. Keep the list short and at one level of detail. Mixing a broad outcome such as collaboration with a narrow control such as a color picker produces ratings that are difficult to compare.
Label 1 as Not important and 5 as Essential, then allow Not applicable or I do not use this when appropriate. Without that option, a respondent may choose the middle for an unknown feature, which looks like moderate importance instead of missing context.
NPS, open close, consent, and thanks
Net Promoter Score asks recommendation likelihood from 0, Not at all likely, to 10, Extremely likely. Use the standard scale when NPS is the intended measure. Follow the number with an optional reason question if the explanation will be reviewed and routed.
An open close catches important context the fixed questions did not anticipate. Contact consent should be separate, explicit, and optional. The thank-you message should state what happens next, such as combined review and possible follow-up, without claiming that every response will receive an individual reply.
Question-writing rules that protect the response
Ask one thing per question. "How easy and useful was setup?" combines effort and value, so a respondent who found setup easy but unhelpful cannot answer accurately. Split the measures or choose the one tied to the decision you need to make.
Label both ends of every numeric scale. Use the same direction throughout the form, with lower values consistently negative and higher values positive. If a scale changes direction, the answers may capture reading mistakes rather than experience.
Avoid leading language. Do not ask how helpful a popular new feature was or why the respondent loves a workflow. Ask what they were trying to accomplish, what happened, and how they rate the experience. Neutral wording leaves room for an answer the team did not expect.
Make only decision-critical questions required. Forced open text creates low-quality filler, and forced identity can reduce candor. Provide Prefer not to answer, Not applicable, and Other where they represent real respondent states rather than using a mandatory middle option as a substitute.
Test the form with someone who did not write it. Ask them to explain what each question means and how they chose an answer. If their interpretation differs from the intended measure, revise the words or answer options before collecting a larger response set.
Product feedback form variants
In-app micro-survey: 3 questions
- How easy or difficult was it to complete [specific task]? 1 = Very difficult, 7 = Very easy.
- What, if anything, made the task harder than expected? Open response.
- May we contact you to understand this experience? Optional email.
Trigger the survey after the task, not before completion. Do not show it on every visit. The context and timing should make the question easier to answer, while the short form protects the workflow from becoming a research interruption.
Email survey
State why this audience was selected and how long the form takes. Put one direct question or the main scale in the message, then link to the full form for context and open responses. Use a recognizable sender and a subject that names the product area, not a vague request for a quick favor.
Avoid using an email survey for a population that cannot answer the question. Someone who never used the feature should have a clear Not used option or should not receive a detailed experience survey. Segmenting the invitation improves interpretation more than adding more questions later.
Post-purchase or onboarding
Ask about the stage that just occurred. For purchase, ask what problem prompted the decision, which information was difficult to find, and confidence in the choice. For onboarding, ask whether the respondent reached the first meaningful outcome, rate the effort of one setup task, and request the main point of friction.
Do not ask for a broad recommendation before the customer has enough experience to judge the product. Early forms should diagnose expectation and setup. Later forms can measure ongoing satisfaction, importance, value, and recommendation intent.
Churn or exit
Ask for the primary reason using a short list with Other, then ask what the respondent expected but could not accomplish. Include an optional open response and follow-up consent. Keep billing or cancellation confirmation separate so the research form never blocks the customer's requested action.
Treat exit feedback as one source, not a complete diagnosis. People may select the fastest answer, and one cancellation reason can contain several product, service, timing, or budget factors. Compare the pattern with product use and earlier feedback before turning it into a roadmap decision.
When a form beats a board, and when it does not
A form is better for a defined research question. Every respondent sees the same wording and scales, which supports comparison across a selected audience or moment. Forms also suit private experiences, satisfaction measurement, effort ratings, and questions where showing other people's answers would influence the response.
A public board is better for continuing product ideas. Customers can search existing requests, combine duplicate demand through voting, add context, and see status. The board preserves the path after collection, while a form usually ends with a response row that the team must classify and route elsewhere.
Use both when the jobs are different. A form can investigate an onboarding problem with consistent questions. Repeated requests for the same improvement can move to the public board, where customers support one record and follow the decision. Do not place every open response on a public page without review or permission.
The honest tradeoff is structure versus continuity. Forms produce structured answers to the questions the team already knows to ask. Boards create a continuing space where customers can raise needs, recognize shared demand, and observe what happens next.
Route useful responses into the feedback loop
Decide where each answer goes before opening the form. Experience scores may belong in a research analysis. A usability problem may trigger an interview or bug investigation. A repeated product request needs one shared record where supporting customers and later status can remain attached.
FeatQ provides that public voting board. Customers can find an existing request, vote, and add context. Product teams can move the item through New, Considering, Planned, In Progress, and Done. Planned and active work can appear on the roadmap, while completed requests become part of the changelog.
The customer feedback tool guide explains the complete collection, voting, status, and response loop. For a narrower intake process, read the feature request tool guide.
When a request ships, notify the people who supported it and state the customer-visible outcome. The response should not disappear into a research spreadsheet after the team acts. It should become part of a traceable path from evidence to decision to delivery.
Continue with the release notes template for the shipped announcement, or return to all product team templates. FeatQ payment options are listed on the pricing page.
Frequently asked questions
Practical answers about agents, voting, embeds, and pricing.
Include a clear purpose, one useful segmentation question, satisfaction and ease scales, product-use context, open questions about the problem and friction, a most-wanted improvement, feature-importance ratings, recommendation intent, an open close, follow-up consent, and a specific thank-you message.
Use only questions tied to a decision or follow-up action. A broad research form may use the complete template, while an in-app survey should ask about the immediate experience in two or three questions. Tell respondents the expected time before they begin.
CSAT measures satisfaction with a product or interaction, commonly on a 1 to 5 scale. CES measures how easy or difficult a task felt, commonly on a 1 to 7 scale. NPS asks recommendation likelihood on a 0 to 10 scale. Each answers a different question.
Use a form for a defined research question, a controlled respondent set, private experience, or consistent rating scales. Use a public board for ongoing ideas, duplicate discovery, voting, visible status, and shipped follow-up. Many teams use forms for research and route repeated product requests to the board.
Offer anonymity when identity is not required for the decision and it may improve candor. If follow-up would add important context, ask for explicit permission and make contact optional. State how the response will be used and avoid collecting personal information without a clear need.
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