Product & Service Design Feedback Survey
Captures how people actually use your product or service, which features matter most, and where the experience breaks down — with an AI follow-up that digs into the specific moment a respondent got stuck or frustrated. Built for product, UX, and service design teams shaping a roadmap.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
In the last 30 days, how often have you used the product/service?
- Daily
- A few times a week
- About once a week
- A few times this month
- Once or not at all
How would you rate the product/service on each of the following?
- Ease of use
- Reliability (works as expected)
- Value for the price
- Quality of support/help when needed
- Overall design and feel
From this list of possible improvements, which would matter most and least to you?
- (Replace with feature A, e.g. faster load times)
- (Replace with feature B, e.g. mobile app)
- (Replace with feature C, e.g. better customer support)
- (Replace with feature D, e.g. lower price/more flexible plans)
- (Replace with feature E, e.g. more customization options)
- (Replace with feature F, e.g. integrations with other tools)
- (Replace with feature G, e.g. simpler onboarding)
How likely are you to recommend this product/service to a friend or colleague?
Which best describes the main job you're using this product/service to get done?
- (Replace with use case A, e.g. managing daily tasks)
- (Replace with use case B, e.g. collaborating with a team)
- (Replace with use case C, e.g. tracking performance/data)
- (Replace with use case D, e.g. serving my own customers)
Focus on the respondent's lowest-rated attribute from the ratings battery or the improvement they ranked as mattering most. Ask them to walk through the last specific time it caused a problem: what they were trying to do, exactly where it broke down, and what they did instead. If they can't recall a concrete instance, ask what would need to change for it to actually affect their decision to keep using the product/service.
Rank these potential changes in the order you'd most want to see them shipped.
- (Replace with change A, e.g. redesigned dashboard)
- (Replace with change B, e.g. new pricing tier)
- (Replace with change C, e.g. faster support response)
- (Replace with change D, e.g. new integration)
Which best describes your role?
- Individual contributor
- Team lead / manager
- Director / senior leader
- Owner / founder
- Prefer not to say
How large is your organization?
- Just me
- 2-10 people
- 11-50 people
- 51-200 people
- 201+ people
- Prefer not to say
That's everything — thank you! Your ratings and comments will feed directly into our product roadmap and design priorities for the next release.
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Includes a ratings battery (multiple-choice usage frequency, attribute matrix, opinion-scale recommend question) plus an AI follow-up interview that automatically targets each respondent's lowest-rated attribute or point of friction, instead of leaving that detail unexplored
- Combines quantitative prioritization tools (MaxDiff and ranking exercises on possible improvements) with open-ended probing, so you get both 'what matters most' and 'why' in one flow
- Segments responses by job-to-be-done, role, and organization size, so roadmap priorities can be cut by user segment, not just averaged across everyone
- Automatically compiles ratings, rankings, and AI-probed comments into a single report, with transparent, viewable prompts for how the follow-up questioning worked
QuestionPro
Product/Service Design Survey TemplateA fielding-ready survey template covering product/service design feedback, comparable in scope to standard satisfaction and usage surveys. It relies on fixed question sets rather than dynamic probing, so follow-up depends on how many optional open-text boxes are built in manually. Reporting is handled through QuestionPro's standard analytics dashboards.
What it does well
- Purpose-built template specifically for product/service design feedback
- Backed by an established survey platform with broad question-type support and analytics
- Likely customizable within QuestionPro's builder before fielding
Where it falls short
- No adaptive AI interview that follows up on a respondent's specific low-rated attribute or moment of frustration
- No voice AI interview option
- No published per-response quality scoring or transparent AI prompt methodology
Jotform
Product Design Questionnaire Form TemplateA static form template for gathering product design questionnaire responses, built on Jotform's general-purpose form builder. It's easy to customize and embed but functions as a fixed question set rather than a survey engine with branching interview logic. Good for simple intake, less suited to deep exploratory feedback.
What it does well
- Simple, quick-to-deploy form builder with drag-and-drop customization
- Broad library of integrations typical of Jotform's ecosystem
- Low barrier to entry for teams wanting a basic feedback form
Where it falls short
- Static question list with no adaptive AI follow-up probing on frustration points
- No voice AI interview or guided screen-share task capability
- No automated per-response quality scoring or auto-generated insight reports
SurveySparrow
Product Design Survey QuestionnaireA conversational-style survey template aimed at product design feedback and market research, fitting SurveySparrow's chat-like UI strength. It offers a more engaging respondent experience than plain forms but still uses pre-set question flows rather than AI-generated follow-ups tailored to each answer. Reporting relies on SurveySparrow's standard dashboards.
What it does well
- Conversational UI designed to feel more engaging than a traditional form
- Positioned for market research use cases beyond just internal feedback
- Supports typical question types (rating, choice, ranking) for design feedback
Where it falls short
- No adaptive AI interview digging into a respondent's specific low-rated attribute or breakdown moment
- No voice AI interview option
- No transparent, published AI prompt methodology or automated quality scoring per response
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
Related templates
More studies from the same category.
Self-Service Checkout Usability & Friction Survey
Measures how easily shoppers scan, pay, and recover from errors at self-service checkout kiosks, and prioritizes which fixes matter most. An AI follow-up interview reconstructs exactly what happened during a recent frustrating attempt instead of relying on vague complaints. Built for retail UX and store operations teams.
View templateWebsite Visitor Profile & Experience Survey
A short on-site intercept that profiles who is visiting your website, why they came, and whether they accomplished their goal — paired with an AI follow-up that reconstructs the actual task a visitor was trying to complete and where it broke down. Built for product and UX teams who need more than traffic analytics to understand visitor intent.
View templateWebsite Information Quality & Findability Survey
Measures whether visitors can find, understand, and trust the content on your website — covering findability, accuracy, completeness, and currency — for product, content, and UX teams auditing site content. An AI follow-up interview reconstructs what actually happened when a respondent hit a dead end, instead of relying on vague satisfaction ratings.
View templateWebsite Retailer Satisfaction & Shopping Experience Survey
Measures how satisfied shoppers are with a retailer's website — from site speed and navigation to checkout and security trust — and where friction costs sales. Built for e-commerce and CX teams benchmarking site performance, with an AI follow-up that digs into the specific moment a shopper's last visit went right or wrong.
View templateProduct Development Team Effectiveness Check
A team health survey for product, design, and engineering members that measures process clarity, cross-functional collaboration, time allocation, and the biggest blockers to shipping — with an AI follow-up that digs into a real recent example behind the top-ranked blocker instead of settling for a vague complaint.
View templateWebsite Usability & Satisfaction Evaluation
Measures how easily visitors accomplish what they came to do on your website, how the site rates on speed, navigation, design, and trust, and how likely they are to recommend it — with an AI follow-up that digs into the exact moment things got confusing or broke down. Built for product, UX, and marketing teams running periodic site health checks.
View template