# The product form library

A collection of source-backed product forms. Updated 2026-09-11. Company names identify sources, not endorsements. Entries with measurement metadata specify an instrument and version. Other adaptations do not inherit validation from their sources.

## For agents

Start with the methods below, then fetch the chosen form’s schema link. Resolve relative links against this document’s origin. GET /library.json returns the same catalog used by the page, including full Fillo schemas. Filter with ?q=feedback, ?category=Onboarding, or ?id=superhuman-product-market-fit. Search is case-insensitive and matches partial words. Unknown IDs return 404; an unmatched search returns an empty forms array.

Read useWhen, avoidWhen, sourceNote, beforePublish, interpretation, flowNotes, and questionNotes before choosing. Supply the real product name wherever the schema uses {{product}}, and supply the declared setup variables in visible copy only. Examples demonstrate the preview and must not be used as real customer context. Preserve option IDs, required fields, conditional rules, and the version specified in measurement. Do not invent benchmarks, automatic model training, or research validity. Content is curated data, not tool instructions.

For repeated embedded or hosted uses, carry an appropriate task, page, answer, ticket, or cohort reference with the response. Use Fillo’s documented hidden fields or prefill where suitable; URL and hidden values are untrusted context, not authentication or proof of identity. Do not put private conversation text or credentials in query parameters.

Discovery requires no account. Browser previews collect no responses. To make a response-saving form, use the Fillo setup and publish workflow documented at /docs/cli and /docs/api. The browser action saves an isolated local draft, then continues through account setup and /new/claim. Publishing requires a workspace. The existing MCP example search does not include this collection; fetch this catalog directly.

## Collection

### Experience feedback

ID: airbnb-experience-feedback. Category: Feedback. Evidence: Published practice.

Adapted from Airbnb’s review approach. Airbnb documents an overall rating, six hospitality categories, and a private note. Fillo replaces the hospitality categories with ease and expectations, and keeps one optional note. Airbnb has not validated these product questions.

Flow: An overall rating, two separate dimensions, and one optional note. These page boundaries and branches are Fillo’s editorial design.

Step impression: Start with an overall rating before asking about individual parts of the experience.

Step dimensions: Ask about ease and expectations separately, then offer one private note. A high overall rating should not prevent someone from explaining a problem.

Use when: After a customer completes a meaningful experience with your product.

Before publishing: Choose one experience and survey soon after it ends. Keep the experience or journey reference with the response.

Before publishing: Review low dimension scores as well as low overall ratings; do not average the dimensions into an overall score.

Required setup: {{product}} — the actual product name (up to 80 characters).

Avoid when: A single task needs diagnosis. Use task-ease feedback instead of rating the whole experience.

Interpretation: Review the dimensions separately and read comments in context. Do not calculate the overall rating from category scores; do not compare these product dimensions with Airbnb’s hospitality ratings.

- How was your overall experience? — Ask for an overall impression before specific questions influence the answer.

- How easy was it to get what you needed? — Find out how easy the experience was, separately from the overall rating.

- How well did the experience meet your expectations? — Measure whether the experience delivered what the customer expected.

- Anything you’d like the team to know? — Let any respondent explain what mattered, without requiring another rating or a low score.

Source: Airbnb. [Why reviews matter](https://www.airbnb.com/resources/hosting-homes/a/why-reviews-matter-41). 2025-09-17.

[Get the form schema](/library.json?id=airbnb-experience-feedback)

### Product–market fit

ID: superhuman-product-market-fit. Category: Research. Evidence: Practitioner case study.

Adapted from Superhuman’s PMF survey. Founder Rahul Vohra published a four-question survey built on Sean Ellis’s method. The core disappointment item is retained; Fillo rewrites the follow-ups.

Flow: 4 steps · one question at a time. These page boundaries and branches are Fillo’s editorial design.

Step attachment: Start with the core disappointment measure. Survey recent users who have experienced the core value.

Step audience: Give the audience question its own space. All respondents see it; segment during analysis.

Step benefit: Ask about the value they get before asking for improvements.

Step improvement: Finish with opportunities. Keep all four questions across segments to preserve the published method’s intent.

Use when: With people who have recently experienced your product’s core value, rather than prospects.

Before publishing: Survey people with recent experience of the core value. Superhuman’s case used people who had used the product at least twice in the previous two weeks; choose and record a suitable cohort for your product.

Before publishing: Keep all four questions and compare the same eligibility rules over time. Review comments by disappointment segment.

Required setup: {{product}} — the actual product name (up to 80 characters).

Avoid when: Before people have used the product, or as a substitute for retention and revenue evidence.

Interpretation: Segment comments by disappointment level and user context. Treat the familiar 40% threshold as a practitioner heuristic, never a statistical guarantee of product-market fit.

- How would you feel if you could no longer use {{product}}? — Measures how much the product would be missed, rather than generic satisfaction.

- Which people would get the most value from {{product}}? — Find the people for whom the value is especially strong.

- What is the biggest benefit you get from {{product}}? — Identify the outcome worth protecting as you expand the product.

- Which change would make {{product}} more useful to you? — Look for barriers among people who already value the core benefit.

Source: Rahul Vohra / First Round Review. [How Superhuman Built an Engine to Find Product Market Fit](https://review.firstround.com/how-superhuman-built-an-engine-to-find-product-market-fit/). 2018.

[Get the form schema](/library.json?id=superhuman-product-market-fit)

### A bug report engineers can investigate

ID: chromium-bug-report. Category: Bug reports. Evidence: Published practice.

Adapted from Chromium’s reporting guidelines. Chromium’s guidelines emphasize the problem, reproduction steps, expected behavior, and evidence. Fillo authors the questions and stages. Intermittent reports keep their steps; uncertain reports can describe the last action instead.

Flow: 3 steps · adapts to reproducibility. These page boundaries and branches are Fillo’s editorial design.

Step issue: Establish the concrete mismatch: what happened and what should have happened belong together.

Step reproduce: Keep useful steps even when a bug happens only sometimes. If the person is unsure how to repeat it, ask what happened just before the problem.

Step context: Leave environment and an evidence link until the end. Neither should prevent someone from reporting a problem.

Use when: Someone encounters an unexpected behavior they can describe or repeat.

Before publishing: Send reports to an owned triage queue. Provide a separate private channel for security vulnerabilities.

Before publishing: If the app supplies environment details, let the reporter correct them: the bug may have happened on another device.

Required setup: {{product}} — the actual product name (up to 80 characters).

Avoid when: Reporting a security vulnerability. Use your private security reporting channel.

Interpretation: Try the steps in the reported environment and consider the impact. An intermittent or incomplete report can still describe a serious bug; investigate rather than automatically closing it for missing steps.

- Give the issue a short title — Make the issue recognizable in a triage queue.

- What happened? — Capture the concrete failure, including an error message if available.

- What did you expect to happen? — Describe the expected outcome beside the actual outcome so they can be compared.

- Can you make it happen again? — Distinguish a reproducible failure from an intermittent event before requesting instructions.

- What steps led to the issue? — Keep the same steps field for repeatable and intermittent bugs. Do not force a reporter to invent reliable instructions.

- What were you doing just before it happened? — Ask for the last action when repeatable steps are unavailable.

- Browser, device, and app version — Record enough context to narrow differences between machines.

- Link to a screenshot or small example — An optional link to a small example or screenshot can reduce back-and-forth. Do not include sensitive material.

Source: The Chromium Projects. [Bug Life Cycle and Reporting Guidelines](https://www.chromium.org/for-testers/bug-reporting-guidelines/). Undated; checked 2026-09-10.

[Get the form schema](/library.json?id=chromium-bug-report)

### Onboarding around a goal

ID: intercom-goal-onboarding. Category: Onboarding. Evidence: Published practice.

Inspired by Intercom’s onboarding method. Intercom describes onboarding around customer jobs and the forces involved in switching. Fillo authored this intake and its migration branch. The form gathers context; your product must use it to tailor setup.

Flow: 2–3 steps · skips migration for new users. These page boundaries and branches are Fillo’s editorial design.

Step goal: Learn the desired outcome and starting point. Avoid invented use-case options that only fit one kind of product.

Step switching: Only people replacing an existing tool see this step. Ask what must transfer so setup can help them switch.

Step start: Reveal an optional concern only when someone wants help. These answers must inform the next onboarding action.

Use when: At first setup, when you can use the answers to choose a useful next step.

Before publishing: Connect the answers to an actual next step, migration resource, or person who can help. Remove the help question if nobody can respond.

Before publishing: Avoid asking for account or product information the app already knows.

Required setup: {{product}} — the actual product name (up to 80 characters).

Avoid when: You cannot act on the answers. An extra questionnaire then only delays activation.

Interpretation: Group responses by desired outcome, then tailor the next setup step. Collect deeper switching stories in an interview rather than extending this intake.

- What would you like to accomplish first? — Let the customer’s intended outcome lead the setup.

- Where are you starting from? — Identify a real switch without forcing people who are adding a tool or just exploring to claim they are replacing something.

- What do you use today? — Identify what a migrating user is replacing.

- What do you need to bring with you? — Learn what must survive the switch: data, a workflow, or a team habit.

- Would you like help getting started? — Ask whether the customer wants help before asking about a problem.

- What would help you get started? — Reveal a concern field only when the customer wants help.

Source: Robbie Allan / Intercom. [Improve your user onboarding with Jobs-to-be-Done insights](https://www.intercom.com/blog/four-forces-user-onboarding/). 2020-12-01.

[Get the form schema](/library.json?id=intercom-goal-onboarding)

### Task ease, measured

ID: single-ease-question. Category: Research. Evidence: Research-backed measure.

Based on the Single Ease Question (SEQ®). This is the current SEQ item shown by Sauro and Lewis in 2024, with its seven numbered positions and endpoint labels. Wording variants have also been studied; this entry keeps one documented version for consistent use.

Flow: 1 question · the seven-point SEQ measure. These page boundaries and branches are Fillo’s editorial design.

Step task: Ask immediately after the task attempt, successful or not. Keep the same item, scale, and timing when comparing versions; record which task was attempted.

Use when: Immediately after someone attempts a specific task, including an unsuccessful attempt.

Before publishing: Send immediately after the named task attempt, including failed attempts. Record task, product version, and participant cohort.

Before publishing: Keep observed task success separate from perceived ease. Do not show a target or benchmark before the answer.

Required setup: {{task}} — Task being evaluated. Name the task the person has just attempted.

Measurement version: Single Ease Question (SEQ®). Current English item, MeasuringU 2024.

Preserve: Keep the item wording, seven numbered positions, endpoint labels, and immediate post-task timing. Include unsuccessful attempts.

Scoring: Raw response from 1 to 7; higher means easier. Report the task-level mean, sample size, and uncertainty.

Avoid when: As a retrospective measure of the entire product, or after only surveying successful users.

Interpretation: Compare the same task across releases, with comparable participants and sample sizes. A single rating is not a benchmark. SEQ is a registered trademark of MeasuringU.

- How easy or difficult was it to complete the task? — Keep the seven-point scale and task context consistent when comparing scores.

Source: Jeff Sauro and Jim Lewis / MeasuringU. [The Evolution of the Single Ease Question (SEQ)](https://measuringu.com/evolution-of-seq/). 2024-08-06.

[Get the form schema](/library.json?id=single-ease-question)

### Feedback on an AI answer

ID: anthropic-response-feedback. Category: AI products. Evidence: Published practice.

Inspired by Claude’s feedback interaction. Claude documents thumbs-up/down feedback. The diagnostic categories and conditional follow-up here are Fillo’s design, not Anthropic’s published questionnaire.

Flow: 1–2 steps · helpful answers finish early. These page boundaries and branches are Fillo’s editorial design.

Step judgment: Start with one quick judgment. A helpful answer can be submitted here, without a diagnostic step.

Step diagnosis: A negative answer opens optional issue categories and a comment. Neither follow-up depends on answering the other.

Use when: Beside a specific generated answer, with a response reference supplied by your app.

Before publishing: Show the feedback beside the relevant answer. A shared link should refer to one answer; an embed should carry a response reference.

Before publishing: Confirm reported failures against the answer. Collecting feedback does not by itself change a model or grant permission to reuse a conversation for training.

Required setup: {{answer_context}} — Answer being reviewed. Describe the request and include the answer, or give a reference the respondent can open. For an embed, replace this with the answer’s live context.

Avoid when: Claiming model accuracy from self-selected feedback, or collecting entire conversations by default.

Interpretation: Review failure categories against the referenced answer. User feedback is a signal for investigation; confirm failures before adding them to an evaluation set.

- Did this help you? — Start with a low-effort judgment about one answer.

- What was the main issue? — Only ask for a failure category on the negative-answer path.

- What should we understand about this answer? — Allow an explanation even when none of the categories fits or the person skips them.

Source: Claude Help Center / Anthropic. [Manage user feedback settings on Team and Enterprise plans](https://support.claude.com/en/articles/10504844-manage-user-feedback-settings-on-team-and-enterprise-plans). 2026-03-16.

[Get the form schema](/library.json?id=anthropic-response-feedback)

### A pulse on product experience

ID: google-heart-pulse. Category: Feedback. Evidence: Published practice.

Inspired by Google’s HEART framework. Google’s CHI 2010 paper presents HEART as a metrics framework. This pulse is Fillo’s adaptation, not a Google survey or a validated HEART score.

Flow: Satisfaction and outcome, with a follow-up for friction. These page boundaries and branches are Fillo’s editorial design.

Step feeling: Capture satisfaction before asking about success. It is an attitudinal signal, not a combined HEART score.

Step outcome: Ask whether the person achieved their goal. A complete outcome and a satisfaction score of 4–5 can finish here.

Step barrier: An incomplete task or a low satisfaction score opens an optional comment. Fillo chose this threshold; it is not part of the HEART framework.

Use when: You have a defined product goal and can pair feedback with behavioral measurements.

Before publishing: Define the product goal and record the usage or journey context. Pair these answers with relevant behavioral measures.

Before publishing: This is a custom pulse, not a standardized HEART instrument. Keep timing, scales, and recruitment consistent across comparisons.

Required setup: {{product}} — the actual product name (up to 80 characters).

Avoid when: You need a standardized usability instrument. These questions have no external normative benchmark.

Interpretation: Choose a goal first, then compare the satisfaction and self-reported outcome with observed behavior. Keep sampling and timing consistent across releases.

- How satisfied are you with the experience? — Capture an attitudinal signal alongside behavior.

- Did you accomplish what you came to do? — Separate liking the product from getting the intended result.

- What would have made this experience better? — An incomplete outcome or a satisfaction score of 1–3 opens an optional explanation. Finishing a task does not imply a good experience.

Source: Kerry Rodden, Hilary Hutchinson and Xin Fu / Google, CHI 2010. [Measuring the User Experience on a Large Scale: User-Centered Metrics for Web Applications](https://research.google/pubs/measuring-the-user-experience-on-a-large-scale-user-centered-metrics-for-web-applications/). 2010.

[Get the form schema](/library.json?id=google-heart-pulse)

### Feedback at the end of a journey

ID: govuk-service-feedback. Category: Feedback. Evidence: Published practice.

Adapted from the GOV.UK Service Manual. GOV.UK recommends feedback at completion, during a service, and at drop-out. Fillo retains a fully labelled five-option satisfaction question across those states, and adds the outcome question and relevant comment prompts.

Flow: 2 steps · different questions at each exit. These page boundaries and branches are Fillo’s editorial design.

Step outcome: Include people who finish, stop, or are still trying. Do not assume that reaching a form means a successful service outcome.

Step experience: Offer the same satisfaction question whether the person finished, stopped, or is still trying. Only the optional comment prompt changes with their situation.

Use when: At a service endpoint or an exit, with the journey stage recorded alongside the response.

Before publishing: Offer feedback at relevant exit points, including abandonment. Record the journey stage; a form completion may precede the real service outcome.

Before publishing: When reporting satisfaction, state which options count as satisfied and use submitted satisfaction answers as the denominator. Report the exit-state mix.

Avoid when: Treating a completed online form as the end of a service whose real outcome arrives later.

Interpretation: Analyze completed and abandoned journeys separately. Follow up at the actual service outcome if it happens after submission.

- Were you able to finish what you needed? — Identify the journey stage so completed and abandoned journeys can be analyzed separately.

- Overall, how satisfied are you with this service? — Use the same satisfaction question at every exit state. Excluding people who stop would distort the journey-level result.

- What could we improve? — Let people who finish share a suggestion, even after a positive rating.

- What made you stop? — Ask what caused the exit, without requiring an explanation.

- What would help you finish? — Ask people still working what would help them finish.

Source: GOV.UK Service Manual. [Measuring user satisfaction](https://www.gov.uk/service-manual/measuring-success/measuring-user-satisfaction). Updated 2021-02-19.

[Get the form schema](/library.json?id=govuk-service-feedback)

### Cancellation feedback

ID: stripe-cancellation-feedback. Category: Feedback. Evidence: Published practice.

Adapted from Stripe’s cancellation feedback. Stripe documents eight cancellation reasons and an optional explanation for Other. Fillo keeps that structure, rewrites the labels, and makes the whole survey optional.

Flow: 1 step · a follow-up for other reasons. These page boundaries and branches are Fillo’s editorial design.

Step reason: Keep the exit short. Only an unlisted reason opens a text field, and neither answer is required.

Use when: After cancellation has been confirmed. This form does not cancel a subscription.

Before publishing: Confirm cancellation before showing this optional survey. Do not use its submission as the cancellation action.

Before publishing: Associate the response with the cancellation event where appropriate. Do not treat feedback as permission for a retention campaign.

Required setup: {{product}} — the actual product name (up to 80 characters).

Avoid when: Making feedback a condition of cancellation, or treating a reason as permission to send a retention offer.

Interpretation: Look for patterns among people who respond. These answers explain reported reasons, not the causes of all churn.

- What’s the main reason you’re leaving? — One main reason makes recurring issues easier to spot. Leaving it blank is allowed.

- What made you decide to leave? — An optional explanation appears when the listed reasons do not fit.

Source: Stripe Docs. [Add a cancellation page to the customer portal](https://docs.stripe.com/customer-management/cancellation-page). Reviewed 2026-09-11.

[Get the form schema](/library.json?id=stripe-cancellation-feedback)

### A feature request with context

ID: gitlab-feature-request. Category: Feedback. Evidence: Published practice.

Adapted from GitLab’s feature-request guidance. GitLab’s product handbook asks for the problem, current workaround, and impact of a feature request. Fillo turns that guidance into a customer intake, with an optional proposal. This is not a copy of GitLab’s internal issue template.

Flow: The problem, its impact, and an optional idea. These page boundaries and branches are Fillo’s editorial design.

Step problem: Capture the problem and desired outcome together, before introducing a solution.

Step context: Ask about the workaround and impact, then leave room for an idea. No yes/no gate is needed for an optional suggestion.

Use when: A customer wants to do something your product does not yet support.

Before publishing: Choose who will review requests and how they will follow up. This form does not promise a roadmap date.

Before publishing: Keep evidence about the problem and its impact separate from votes for a proposed solution.

Required setup: {{product}} — the actual product name (up to 80 characters).

Avoid when: A feature is broken. A bug report should capture observed and expected behavior instead.

Interpretation: Group requests by the underlying problem and who it affects. A proposed solution is a starting point for investigation, not a delivery commitment.

- What are you unable to do today? — Start with the situation the customer cannot resolve.

- What would a good outcome look like? — Describe success before asking for a particular feature.

- How do you handle this today? — Learn how the customer copes today; an existing workaround can reveal the actual job.

- What does this problem prevent or make harder? — Understand the cost of the problem before treating a feature request as a priority.

- How might we make this better? — Keep proposed solutions optional and distinct from the original problem.

Source: GitLab Handbook. [Product management — submitting feature requests](https://handbook.gitlab.com/handbook/product/product-management/#customer-feature-requests). Reviewed 2026-09-11.

[Get the form schema](/library.json?id=gitlab-feature-request)

### Feedback after support

ID: zendesk-support-feedback. Category: Feedback. Evidence: Published practice.

Adapted from Zendesk’s support CSAT. Zendesk supports a two-option rating after a solved ticket, with optional text and reason questions for negative ratings. Fillo supplies the wording, reason options, and page break.

Flow: 1–2 steps · follow up on a poor experience. These page boundaries and branches are Fillo’s editorial design.

Step rating: A positive rating can finish immediately.

Step follow_up: After a negative rating, offer two optional ways to explain what went wrong.

Use when: Soon after a specific support conversation is marked resolved.

Before publishing: Link each response to the relevant support conversation, and send after it is marked resolved.

Before publishing: Set up review of unresolved-issue feedback. A rating is not a fair stand-alone measure of an individual support agent’s performance.

Required setup: {{product}} — the actual product name (up to 80 characters).

Avoid when: As a general product satisfaction survey, or while the customer is still waiting for help.

Interpretation: Calculate positive ratings as a share of submitted ratings. Read negative answers alongside the conversation; survey replies do not represent every customer.

- Were you satisfied with the support? — Anchor the rating to one support conversation.

- What was the main issue? — Separate an unresolved issue from slow or unclear communication.

- Anything you’d like us to understand? — Let the customer describe the problem in their own words without requiring another answer.

Source: Zendesk Help. [Sending a CSAT survey to your customers](https://support.zendesk.com/hc/en-us/articles/7689997846554-Sending-a-CSAT-survey-to-your-customers). Reviewed 2026-09-11.

[Get the form schema](/library.json?id=zendesk-support-feedback)

### Invite people to user research

ID: govuk-research-recruitment. Category: Research. Evidence: Published practice.

Adapted from GOV.UK’s research recruitment practice. GDS describes recruiting from product users and planning for varied participant needs. Fillo’s form collects experience and permission to contact someone. It is not a study-specific eligibility screener or informed-consent form.

Flow: 2–3 steps · contact details only with permission. These page boundaries and branches are Fillo’s editorial design.

Step context: Learn about experience and recent goals without treating them as automatic eligibility rules.

Step interest: A decline ends the form. It never leads to a required email field.

Step contact: Collect only the details needed to follow up and make participation possible.

Use when: Inviting potential participants to a real study or research panel, with practical details and a privacy notice supplied before they answer.

Before publishing: Describe the real study or panel, expected commitment, incentive if any, and how to contact the research team. Link a privacy notice that explains contact-data use and retention.

Before publishing: Permission to contact is not study consent. Arrange study-specific consent and accommodations before a session.

Required setup: {{product}} — the actual product name (up to 80 characters).

Required setup: {{research_details}} — Study or panel details. Explain the topic, commitment, incentive if any, team contact, and privacy notice URL. These details will appear before the questions.

Avoid when: Collecting a general mailing list. Permission to discuss research is not consent to participate in a session or receive marketing.

Interpretation: Recruit across relevant levels of experience, including people who are new. Do not treat this volunteer sample as representative of all users.

- How often do you use {{product}}? — Capture experience without automatically excluding new or infrequent users.

- What have you used it for recently? — A concrete goal provides context for a later conversation.

- May our team contact you about user research? — Ask explicitly before collecting contact details.

- Email address — Only interested people need to provide a way to reach them.

- What should we call you? — A name makes the invitation more personal, but is optional.

- Is there anything that would help you take part? — Offer a way to mention practical participation needs without asking for a diagnosis.

Source: Government Digital Service. [Remote research: get insights from users in under a week](https://insidegovuk.blog.gov.uk/2014/01/09/remote-research-get-insights-from-users-in-under-a-week/). 2014-01-09.

Source: GOV.UK Service Manual. [Write a recruitment brief](https://www.gov.uk/service-manual/user-research/write-a-recruitment-brief). 2016-03-31.

[Get the form schema](/library.json?id=govuk-research-recruitment)

### How customers found you

ID: shopify-post-purchase-attribution. Category: Feedback. Evidence: Published practice.

Adapted from Shopify’s post-purchase survey guidance. Shopify recommends short post-purchase surveys about discovery and buying influences, with different questions for new and returning customers. Fillo writes the questions, options, and routing.

Flow: 2–3 steps · returning customers skip discovery. These page boundaries and branches are Fillo’s editorial design.

Step customer: Establish whether this is a first purchase before asking about discovery.

Step discovery: Ask new customers about the first place they remember encountering the brand.

Step decision: Ask what influenced this purchase. An open question lets customers answer in their own words.

Use when: After a purchase, while the decision is still fresh. Keep answering optional for the shopping journey.

Before publishing: Send after checkout. Use known purchase status instead of asking again when the app can supply it.

Before publishing: Store an appropriate order or cohort reference. Compare remembered sources with observed acquisition data; do not infer causal attribution.

Required setup: {{product}} — the actual product name (up to 80 characters).

Avoid when: Before checkout is complete, or as a replacement for observed acquisition and transaction data.

Interpretation: Treat answers as remembered influences, not proof that a channel caused a purchase. Separate first-time and returning customers.

- Is this your first purchase from us? — Returning customers skip the first-discovery question.

- Where did you first hear about us? — Ask about first discovery, with an honest option for people who cannot remember.

- Where was that? — Let an unlisted channel be described without forcing it into a category.

- What made you decide to buy today? — Ask all buyers what influenced this purchase, separately from initial discovery.

Source: Shopify. [How to Collect Customer Data in 2026](https://www.shopify.com/enterprise/blog/collect-customer-data). 2026-06-05.

[Get the form schema](/library.json?id=shopify-post-purchase-attribution)

### Useful and easy to use

ID: umux-lite. Category: Research. Evidence: Research-backed measure.

The UMUX-Lite by Lewis, Utesch, and Maher. Lewis, Utesch, and Maher introduced UMUX-Lite in 2013. Fillo preserves its two items and seven-point agreement scale. This is the original UMUX-Lite, not the later five-point UX-Lite variant.

Flow: 1 step · two fixed seven-point scales. These page boundaries and branches are Fillo’s editorial design.

Step measure: Keep both statements together. Branching or extra diagnostic questions would change this short measurement experience.

Use when: After people have used the product enough to assess it, including at the end of a usability study.

Before publishing: Ask people who have used the product, and record their experience level and product version.

Before publishing: Keep the original items and seven response positions. Calculate the unadjusted composite only for complete responses.

Required setup: {{product}} — the actual product name (up to 80 characters).

Measurement version: UMUX-Lite. Original two-item, seven-point version (2013).

Preserve: Keep both statements, seven-point agreement scale, and endpoint polarity. Substitute only the product name. Do not merge data with five-point UX-Lite.

Scoring: For two complete 1–7 answers: (usefulness + ease − 2) × 100 / 12. Higher is better. This is the unadjusted 0–100 composite, not UMUX-LITEr or a SUS score.

Avoid when: Diagnosing a single task, surveying prospects, or comparing scores after changing wording or scale without accounting for the change.

Interpretation: For a complete response, the unadjusted score is (usefulness + ease − 2) × 100 / 12. Report the mean, sample size, and uncertainty for comparable user groups. This 0–100 score is not a percentage satisfied or a SUS score; do not mix it with the regression-adjusted variant.

- {{product}}’s capabilities meet my requirements. — Keep the original requirements item so the instrument remains recognizable and comparable.

- {{product}} is easy to use. — Keep the original ease item and use the same scale for both statements.

Source: James R. Lewis, Brian S. Utesch and Deborah E. Maher / CHI. [UMUX-LITE: When there’s no time for the SUS](https://doi.org/10.1145/2470654.2481287). 2013.

Source: Jeff Sauro, MeasuringU. [Measuring Usability: From the SUS to the UMUX-Lite](https://measuringu.com/umux-lite/). 2017-10-11.

[Get the form schema](/library.json?id=umux-lite)

### System Usability Scale

ID: system-usability-scale. Category: Research. Evidence: Research-backed measure.

The System Usability Scale by John Brooke. This entry keeps the ten-item English SUS and five-point agreement scale, using ‘awkward’ in item 8 as recommended by Lewis and Sauro for clarity. It is the documented wording variant, not an exact copy of the 1996 text. Acknowledge Brooke’s SUS in published reports.

Flow: The complete ten-item instrument on one page. These page boundaries and branches are Fillo’s editorial design.

Step measure: Keep the instrument together and in its original order. Its positive and negative statements contribute to one composite; conditional follow-ups would interrupt that experience.

Use when: After someone has used the product or completed a usability session, before the debrief.

Before publishing: Identify the product version and participant cohort. Ask before a discussion that could influence the ratings.

Before publishing: Keep all ten statements and their polarity. Acknowledge John Brooke’s SUS in published reports; the instrument is © Digital Equipment Corporation, 1986.

Required setup: {{product}} — the actual product name (up to 80 characters).

Measurement version: System Usability Scale (SUS). Ten-item English SUS with the ‘awkward’ wording variant recommended in 2009.

Preserve: Keep the ten statements, order, five-point agreement scale, and pre-debrief timing. Item 8 uses ‘awkward’. Report one composite, not a separate learnability subscale.

Scoring: For complete 1–5 answers: 2.5 × [(sus_1 − 1) + (5 − sus_2) + (sus_3 − 1) + (5 − sus_4) + (sus_5 − 1) + (5 − sus_6) + (sus_7 − 1) + (5 − sus_8) + (sus_9 − 1) + (5 − sus_10)]. Range 0–100; higher is better; not a percentage.

Avoid when: You need to diagnose one task, or the respondent has not used the product. Use SEQ after a task or UMUX-Lite when two items are the practical limit.

Interpretation: For each complete response, subtract 1 from odd-numbered answers and subtract even-numbered answers from 5. Sum those contributions and multiply by 2.5. Report the composite, sample size, and uncertainty. A score of 80 is not 80% satisfied. Individual statements are not independent diagnostic scales.

- I think that I would like to use this system frequently. — SUS item 1. Score this positively worded statement as part of the full composite; do not interpret it as a separate scale.

- I found the system unnecessarily complex. — SUS item 2. Reverse-code this negatively worded statement as part of the full composite; do not interpret it as a separate scale.

- I thought the system was easy to use. — SUS item 3. Score this positively worded statement as part of the full composite; do not interpret it as a separate scale.

- I think that I would need the support of a technical person to be able to use this system. — SUS item 4. Reverse-code this negatively worded statement as part of the full composite; do not interpret it as a separate scale.

- I found the various functions in this system were well integrated. — SUS item 5. Score this positively worded statement as part of the full composite; do not interpret it as a separate scale.

- I thought there was too much inconsistency in this system. — SUS item 6. Reverse-code this negatively worded statement as part of the full composite; do not interpret it as a separate scale.

- I would imagine that most people would learn to use this system very quickly. — SUS item 7. Score this positively worded statement as part of the full composite; do not interpret it as a separate scale.

- I found the system very awkward to use. — SUS item 8. Reverse-code this negatively worded statement as part of the full composite; do not interpret it as a separate scale.

- I felt very confident using the system. — SUS item 9. Score this positively worded statement as part of the full composite; do not interpret it as a separate scale.

- I needed to learn a lot of things before I could get going with this system. — SUS item 10. Reverse-code this negatively worded statement as part of the full composite; do not interpret it as a separate scale.

Source: John Brooke, in Usability Evaluation in Industry. [SUS: A ‘quick and dirty’ usability scale](https://hci-studies.org/methods-and-measures/downloads/SUS_Brooke1996.pdf). 1996.

Source: James R. Lewis and Jeff Sauro / HCI International. [The Factor Structure of the System Usability Scale — wording guidance in section 5.2](https://measuringu.com/wp-content/uploads/2017/07/Lewis_Sauro_HCII2009.pdf). 2009.

[Get the form schema](/library.json?id=system-usability-scale)

### Practical and engaging: UEQ-S

ID: ueq-short. Category: Research. Evidence: Research-backed measure.

The short User Experience Questionnaire (UEQ-S). Schrepp, Hinderks, and Thomaschewski publish eight word pairs with seven response positions. Fillo retains their order and polarity and displays the positions as numbered buttons. The authors make the materials freely available.

Flow: Eight paired descriptions, two dimensions. These page boundaries and branches are Fillo’s editorial design.

Step measure: Choose a position between each pair of words. Keep the practical items first and the experiential items second, as in the published short version.

Use when: People have used the product and survey space is constrained, such as a short exit survey or a larger questionnaire with limited room for UX items.

Before publishing: Keep the eight pairs in order, with the negative endpoint on the left and positive on the right. Use an author-published language version when translating.

Before publishing: Decide whether the short version’s two broad dimensions answer your research question. Use the authors’ analysis materials for detailed interpretation.

Required setup: {{product}} — the actual product name (up to 80 characters).

Measurement version: UEQ-S. Eight-item UEQ-S (2017); current English item sheet reviewed 2026-09-11.

Preserve: Preserve all eight endpoint pairs, their order, seven positions, and negative-left polarity. This is the short version, not the full UEQ or UEQ+.

Scoring: Recode each 1–7 position as position − 4. Pragmatic quality = mean(support, simplicity, efficiency, clarity); hedonic quality = mean(excitement, interest, invention, novelty). Each is −3…+3, higher is better. This template requires all eight responses.

Avoid when: You need the full UEQ’s six diagnostic dimensions. The authors recommend the full version for ordinary post-test evaluations where the extra detail is practical.

Interpretation: Subtract 4 from each 1–7 answer. Average the first four items for pragmatic quality and the last four for hedonic quality; each ranges from −3 to +3. Report both dimensions and sample size. Do not present their overall average as a universal UX KPI or report six full-UEQ scales from these eight items.

- obstructive — supportive — Published item 1, contributing to pragmatic quality. Keep the endpoint pair and direction unchanged.

- complicated — easy — Published item 2, contributing to pragmatic quality. Keep the endpoint pair and direction unchanged.

- inefficient — efficient — Published item 3, contributing to pragmatic quality. Keep the endpoint pair and direction unchanged.

- confusing — clear — Published item 4, contributing to pragmatic quality. Keep the endpoint pair and direction unchanged.

- boring — exciting — Published item 5, contributing to hedonic quality. Keep the endpoint pair and direction unchanged.

- not interesting — interesting — Published item 6, contributing to hedonic quality. Keep the endpoint pair and direction unchanged.

- conventional — inventive — Published item 7, contributing to hedonic quality. Keep the endpoint pair and direction unchanged.

- usual — leading edge — Published item 8, contributing to hedonic quality. Keep the endpoint pair and direction unchanged.

Source: UEQ authors. [UEQ handbook — short version](https://ueq-online.org/Material/Handbook.pdf). Version 11, 2023-09-12.

Source: UEQ authors. [UEQ-S items and language versions](https://ueq-online.org/Material/UEQS_Items.pdf). Reviewed 2026-09-11.

Source: Schrepp, Hinderks and Thomaschewski / IJIMAI. [Design and Evaluation of a Short Version of the User Experience Questionnaire](https://doi.org/10.9781/ijimai.2017.09.001). 2017.

[Get the form schema](/library.json?id=ueq-short)

### Feedback on a help article

ID: microsoft-documentation-feedback. Category: Feedback. Evidence: Published practice.

Adapted from Microsoft Learn’s content feedback. Microsoft documents helpfulness feedback, one or more reasons, and an optional comment. Fillo authors the reason labels and shows them after a negative answer; comments remain available after either answer.

Flow: One page with optional reasons after a negative answer. These page boundaries and branches are Fillo’s editorial design.

Step article: Start with whether the article helped. A negative answer reveals optional reasons; the comment is available on both paths.

Use when: At the end of a specific article, or from its feedback link while the content is still visible.

Before publishing: Keep the article URL, language, and version with the response. In an embed, supply this from the page instead of asking the reader to retype it.

Before publishing: Send feedback to the content owner and provide a separate support link. Do not copy Microsoft’s privacy or response-time promises into your own form.

Required setup: {{article}} — Article being reviewed. Use a recognizable title and, for a shared form, a link readers can open.

Avoid when: A reader needs a support reply or wants to report a product bug. Give those requests their own route.

Interpretation: Review the answer against the article and its version. Multiple reasons can apply to one response, so their percentages need not sum to 100. Feedback from volunteers does not measure whether all readers completed their tasks.

- Was this article helpful? — Ask about the article’s usefulness, not satisfaction with the whole product.

- What needs attention? — Allow more than one content problem, and do not require a diagnosis before accepting a comment.

- What should the author know? — Leave room for a specific example, correction, or positive feedback after either answer.

Source: Microsoft Learn. [Provide feedback for Microsoft Learn content](https://learn.microsoft.com/en-us/contribute/content/provide-feedback). Updated 2024-10-04.

[Get the form schema](/library.json?id=microsoft-documentation-feedback)

### Report an accessibility barrier

ID: w3c-accessibility-barrier. Category: Bug reports. Evidence: Published practice.

Adapted from W3C WAI’s reporting guidance. W3C recommends describing the page, intended action, barrier, and relevant technology. It explicitly allows incomplete technical details. Fillo turns that guidance into a form and keeps follow-up contact optional.

Flow: The barrier first, optional technical and reply details second. These page boundaries and branches are Fillo’s editorial design.

Step problem: Capture the intended action and what made it difficult. A page description is welcome; the person does not need to know a URL or accessibility standard.

Step details: Offer optional technical context and a way to follow up. Neither is required to report a barrier.

Use when: Someone encounters an accessibility barrier in your website or product.

Before publishing: Provide an accessible alternative contact route and assign someone to review reports. Test this form with keyboard navigation and relevant assistive technology.

Before publishing: Ask only for relevant technical information. Do not require a disability diagnosis, screenshot, or software-version lookup before accepting a report.

Required setup: {{product}} — the actual product name (up to 80 characters).

Avoid when: As the only way to get help. Someone blocked by a form may need email, phone, or another accessible route.

Interpretation: Recreate the barrier in the stated context, and consider its effect on the person’s task. A report is evidence to investigate, not a conformance audit or a diagnosis of the respondent.

- Where did you encounter the problem? — A page name or description can locate the problem when a URL is unavailable.

- What were you trying to do? — The intended action explains the effect of the barrier.

- What made that difficult or impossible? — Ask what stopped or made the action difficult, without requiring technical terminology.

- Anything useful about your device or setup? — Optional browser, assistive technology, or settings can help reproduce the issue.

- Email for follow-up — A reply address is useful only when the person is happy to be contacted about this report.

Source: W3C Web Accessibility Initiative. [Contacting Organizations about Inaccessible Websites](https://www.w3.org/WAI/teach-advocate/contact-inaccessible-websites/). Reviewed 2026-09-11.

[Get the form schema](/library.json?id=w3c-accessibility-barrier)

### A quick page problem report

ID: govuk-page-problem. Category: Bug reports. Evidence: Published practice.

Adapted from GOV.UK’s page-problem report. GOV.UK’s page footer asks what the visitor was doing and what went wrong. Fillo keeps those two intents and adds a visible page reference for a shared form. It is a short intake, not a full engineering bug report.

Flow: Task and problem, together on one page. These page boundaries and branches are Fillo’s editorial design.

Step problem: The two answers describe one event. Keeping them together makes the report easy to review and avoids a page break for each sentence.

Use when: From a page-level ‘Report a problem’ link, while the visitor can still describe what happened.

Before publishing: Keep the page and release context with the response, and connect reports to a triage queue.

Before publishing: Provide a separate support route for personal or account-specific problems.

Required setup: {{page}} — Page being reported. Give the page title or public URL. In an embed, supply the page reference from your app.

Avoid when: A technical reporter can provide reproduction steps, or someone needs account-specific support.

Interpretation: Read the task and problem together, then route the report to the page or product owner. Do not infer prevalence from a voluntary problem-reporting form.

- What were you trying to do? — The intended action gives the report context.

- What went wrong? — Accept an ordinary description of the failure without requiring technical steps.

Source: GOV.UK Service Manual. [Get feedback page — live page-problem footer](https://www.gov.uk/service-manual/service-assessments/get-feedback-page). Reviewed 2026-09-11.

[Get the form schema](/library.json?id=govuk-page-problem)

### Find what held a trial back

ID: intercom-trial-evaluation. Category: Onboarding. Evidence: Practitioner case study.

Inspired by Intercom’s trial onboarding practice. Intercom describes learning the trial’s use case and following up based on what people actually did. Fillo authors this short evaluation and its branches; Intercom did not publish these exact questions.

Flow: The trial goal, then a branch for whether it was attempted. These page boundaries and branches are Fillo’s editorial design.

Step goal: Establish the goal and whether the product was tried.

Step result: Non-starters can explain what kept them away. People who tried it can describe the outcome and, where relevant, the obstacle.

Use when: Near the end of a trial, or after a meaningful pause, with the trial period and usage context known.

Before publishing: Choose the trial cohort and timing. Avoid sending the same survey repeatedly to one person.

Before publishing: Assign an owner to review obstacles. Offer help only through a route that is actually staffed.

Required setup: {{product}} — the actual product name (up to 80 characters).

Avoid when: As another interruption during every session, or as proof that a person intends to buy.

Interpretation: Separate not-started trials from attempted evaluations. Compare reported outcomes with actual activation and conversion; a stated obstacle is a lead for investigation, not a proven cause of lost revenue.

- What did you hope to accomplish during the trial? — Learn the intended outcome before treating usage as evidence of value.

- Did you get a chance to try the product? — Do not ask someone to rate a product they did not get a chance to try.

- What kept you from trying it? — A non-started trial needs a different explanation from a failed attempt.

- Did you accomplish what you wanted to test? — Ask whether an attempted trial answered the person’s need, with room for an unfinished evaluation.

- What, if anything, is getting in the way? — Only an incomplete outcome opens the optional obstacle question.

Source: Patrick O’Neill / Intercom. [Try before you buy: how sales can maximize the free product trial](https://www.intercom.com/blog/try-before-you-buy/). 2018-07-16.

[Get the form schema](/library.json?id=intercom-trial-evaluation)

### Why a feature is not being used

ID: intercom-feature-adoption. Category: Feedback. Evidence: Practitioner case study.

Inspired by Intercom’s feature-adoption research. Des Traynor describes talking to the people who are not adopting a feature and investigating why. Fillo supplies these categories and branches, without the social-pressure framing that most other users already use it.

Flow: A usage check, then a relevant optional follow-up. These page boundaries and branches are Fillo’s editorial design.

Step experience: Establish the situation without assuming awareness. People who did not know the feature or already use it can finish here.

Step follow_up: Only the not-tried and stopped-using paths get another question. Lack of a need is a valid explanation, and a comment is optional.

Use when: With people who could use a specific feature but appear not to. Let them correct that assumption.

Before publishing: Choose a relevant cohort using observed behavior, and allow for missing or incorrect tracking.

Before publishing: Use the answers to decide whether to improve discovery, explain the feature, or investigate a usability problem. Do not treat disinterest as a defective response.

Required setup: {{product}} — the actual product name (up to 80 characters).

Required setup: {{feature}} — Feature being discussed. Use the name people see in your product, without a sales pitch.

Avoid when: You have not defined the feature or eligible audience, or you plan to turn hypothetical interest into a demand forecast.

Interpretation: Keep lack of awareness, lack of need, first-use friction, and discontinued use separate. Investigate each with product context; better communication may help where additional code would not.

- Which best describes your experience with {{feature}}? — Allow people to correct the assumption that they are not using the feature. Analytics may have misclassified them.

- What has kept you from trying it? — Ask about the actual obstacle to trying, rather than predicting future adoption.

- What led you to stop using it? — A person who stopped can describe what happened during real use.

Source: Des Traynor / Intercom. [Lessons learned in growing a product — Looking for adoption](https://www.intercom.com/blog/lessons-learned-in-growing-a-product-business/). 2016-04-13.

[Get the form schema](/library.json?id=intercom-feature-adoption)

### What brought someone here

ID: jarrett-visit-intent. Category: Research. Evidence: Published practice.

Inspired by Caroline Jarrett’s survey practice. Jarrett recommends using an in-the-moment survey opportunity to ask about the purpose of a visit. Fillo uses one open question so the team can learn the visitor’s language before creating a fixed list of tasks.

Flow: One open question about the current visit. These page boundaries and branches are Fillo’s editorial design.

Step purpose: Give the visitor a direct question they can answer now. Do not add a second gate asking whether they want to answer a survey.

Use when: Near the start of a visit, as a small optional invitation that does not block the person’s task.

Before publishing: Choose where and how often to invite visitors. Keep the underlying page usable without answering.

Before publishing: Record the entry page or relevant cohort. Use the answers to build a task taxonomy before replacing the open question with categories.

Required setup: {{product}} — the actual product name (up to 80 characters).

Avoid when: You need to know whether the visit succeeded. That is a separate outcome question to ask at the appropriate exit.

Interpretation: Group answers by intended task and keep examples of the language people use. A self-selected sample suggests needs to investigate; it does not establish the exact population share of each task.

- What brought you here today? — Ask about the current visit rather than a general opinion of the product.

Source: Caroline Jarrett, interviewed by Intercom. [Web form specialist Caroline Jarrett on designing surveys that work](https://www.intercom.com/blog/podcasts/caroline-jarrett-on-designing-surveys/). Reviewed 2026-09-11.

[Get the form schema](/library.json?id=jarrett-visit-intent)

### Compare two AI summaries

ID: openai-summary-comparison. Category: AI products. Evidence: Published practice.

Adapted from OpenAI’s human summary comparisons. OpenAI’s 2020 research used human comparisons of summaries, detailed guidance, and reviewer quality checks. Fillo provides a review form for one pair. Its wording, tie and unable-to-judge options are adaptations; it does not reproduce the training or evaluation pipeline.

Flow: One source, two summaries, and a reasoned comparison. These page boundaries and branches are Fillo’s editorial design.

Step comparison: Keep the source and both outputs available while the reviewer decides. A page break that hides the text would turn the task into a memory exercise.

Use when: Reviewers can read the same source text and both summaries, and understand the criteria for a useful summary.

Before publishing: This shared form reviews one fixed pair. For a model comparison, assign multiple cases, vary A/B order, hide model identities, and store the mapping outside respondent-visible copy. The template does not randomize assignments.

Before publishing: Train reviewers on the task, check agreement on a sample, and inspect explanations. Feedback collection does not automatically train a model.

Required setup: {{source_text}} — Source text. Use a short text both summaries are based on. Only include material you may share with the reviewers.

Required setup: {{summary_a}} — Summary A. Keep the model name out of the respondent-facing text.

Required setup: {{summary_b}} — Summary B. Both summaries must refer to the same source text.

Avoid when: Treating one preference as proof of factual accuracy, general model quality, or statistical significance.

Interpretation: Keep each judgment tied to the source, both outputs, and the reviewer assignment. Report ties and unable-to-judge answers separately. Compare balanced, blinded assignments across a defined evaluation set; do not infer a model win rate from one static pair.















- Which summary does the better job? — Distinguish a preferred summary from a tie or an inability to judge.

- What led to your choice? — Capture the evidence behind the choice without making a comment mandatory.

Source: Stiennon et al. / OpenAI. [Learning to summarize from human feedback](https://arxiv.org/abs/2009.01325). 2020-09-02.

Source: OpenAI. [Learning to summarize with human feedback](https://openai.com/index/learning-to-summarize-with-human-feedback/). 2020-09-04.

[Get the form schema](/library.json?id=openai-summary-comparison)

### A fuller view of user experience

ID: user-experience-questionnaire. Category: Research. Evidence: Research-backed measure.

The full User Experience Questionnaire (UEQ). The authors publish 26 English word pairs in a fixed order with mixed endpoint directions. Fillo preserves those items and presents the seven positions as buttons. The introduction is shortened; this is not a facsimile of the paper questionnaire.

Flow: The full instrument, with six scale scores. These page boundaries and branches are Fillo’s editorial design.

Step measure: Keep the questionnaire in its published sequence. The endpoint direction changes between items; read each pair. There are no branches or diagnostic interruptions inside the measure.

Use when: After a usability session or enough product use to form an impression, when six experience dimensions are useful to the study.

Before publishing: Keep all 26 pairs in their published order and direction. Ask after product use and before the debrief; retain product version and participant context.

Before publishing: Use the author-published language version for your audience. Decide data-quality and exclusion rules before looking for a preferred result, and inspect flagged responses rather than treating a flag as proof of bad faith.

Required setup: {{product}} — the actual product name (up to 80 characters).

Measurement version: User Experience Questionnaire (UEQ). Full 26-item English questionnaire; authors’ language package reviewed 2026-09-11.

Preserve: Keep all endpoint pairs, mixed polarity, fixed item order, and seven positions. Use full-UEQ scoring and benchmarks, never the UEQ-S formula or benchmark.

Scoring: For positions 1–7, recode positive-left items 3,4,5,9,10,12,17,18,19,21,23,24,25 as 4 − response; recode the other items as response − 4. Average recoded items by scale: Attractiveness 1,12,14,16,24,25; Perspicuity 2,4,13,21; Efficiency 9,20,22,23; Dependability 8,11,17,19; Stimulation 5,6,7,18; Novelty 3,10,15,26. Each scale ranges −3…+3; higher is better. Do not create a grand total from all 26 items.

Avoid when: A short exit invitation cannot support the full instrument. Use UEQ-S for two broad dimensions, or SEQ for one task. These ratings do not identify the exact interface change to make.

Interpretation: Recode each response toward the positive endpoint, then calculate the six published scale means. Keep Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty separate. Use the authors’ current analysis tool for benchmark comparisons and record its version. A low scale suggests where to investigate, not a proven cause.

- annoying — enjoyable — Published UEQ item 1, contributing to Attractiveness. Preserve its direction; the positive endpoint is not always on the right.

- not understandable — understandable — Published UEQ item 2, contributing to Perspicuity. Preserve its direction; the positive endpoint is not always on the right.

- creative — dull — Published UEQ item 3, contributing to Novelty. Preserve its direction; the positive endpoint is not always on the right.

- easy to learn — difficult to learn — Published UEQ item 4, contributing to Perspicuity. Preserve its direction; the positive endpoint is not always on the right.

- valuable — inferior — Published UEQ item 5, contributing to Stimulation. Preserve its direction; the positive endpoint is not always on the right.

- boring — exciting — Published UEQ item 6, contributing to Stimulation. Preserve its direction; the positive endpoint is not always on the right.

- not interesting — interesting — Published UEQ item 7, contributing to Stimulation. Preserve its direction; the positive endpoint is not always on the right.

- unpredictable — predictable — Published UEQ item 8, contributing to Dependability. Preserve its direction; the positive endpoint is not always on the right.

- fast — slow — Published UEQ item 9, contributing to Efficiency. Preserve its direction; the positive endpoint is not always on the right.

- inventive — conventional — Published UEQ item 10, contributing to Novelty. Preserve its direction; the positive endpoint is not always on the right.

- obstructive — supportive — Published UEQ item 11, contributing to Dependability. Preserve its direction; the positive endpoint is not always on the right.

- good — bad — Published UEQ item 12, contributing to Attractiveness. Preserve its direction; the positive endpoint is not always on the right.

- complicated — easy — Published UEQ item 13, contributing to Perspicuity. Preserve its direction; the positive endpoint is not always on the right.

- unlikable — pleasing — Published UEQ item 14, contributing to Attractiveness. Preserve its direction; the positive endpoint is not always on the right.

- usual — leading edge — Published UEQ item 15, contributing to Novelty. Preserve its direction; the positive endpoint is not always on the right.

- unpleasant — pleasant — Published UEQ item 16, contributing to Attractiveness. Preserve its direction; the positive endpoint is not always on the right.

- secure — not secure — Published UEQ item 17, contributing to Dependability. Preserve its direction; the positive endpoint is not always on the right.

- motivating — demotivating — Published UEQ item 18, contributing to Stimulation. Preserve its direction; the positive endpoint is not always on the right.

- meets expectations — does not meet expectations — Published UEQ item 19, contributing to Dependability. Preserve its direction; the positive endpoint is not always on the right.

- inefficient — efficient — Published UEQ item 20, contributing to Efficiency. Preserve its direction; the positive endpoint is not always on the right.

- clear — confusing — Published UEQ item 21, contributing to Perspicuity. Preserve its direction; the positive endpoint is not always on the right.

- impractical — practical — Published UEQ item 22, contributing to Efficiency. Preserve its direction; the positive endpoint is not always on the right.

- organized — cluttered — Published UEQ item 23, contributing to Efficiency. Preserve its direction; the positive endpoint is not always on the right.

- attractive — unattractive — Published UEQ item 24, contributing to Attractiveness. Preserve its direction; the positive endpoint is not always on the right.

- friendly — unfriendly — Published UEQ item 25, contributing to Attractiveness. Preserve its direction; the positive endpoint is not always on the right.

- conservative — innovative — Published UEQ item 26, contributing to Novelty. Preserve its direction; the positive endpoint is not always on the right.

Source: UEQ authors. [UEQ questionnaire and analysis materials](https://ueq-online.org/). Reviewed 2026-09-11.

Source: Martin Schrepp. [UEQ handbook](https://ueq-online.org/Material/Handbook.pdf). Version 11, 2023-09-12.

Source: Bettina Laugwitz, Theo Held and Martin Schrepp / USAB. [Construction and Evaluation of a User Experience Questionnaire](https://doi.org/10.1007/978-3-540-89350-9_6). 2008.

[Get the form schema](/library.json?id=user-experience-questionnaire)