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UAT Plan Clarity & Feedback Loop Effectiveness Survey

Assesses User Acceptance Testing plan quality, feedback loop efficiency, and release confidence from the perspective of UAT participants. Designed for QA, product, and engineering teams seeking to diagnose process gaps and prioritize improvements.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

23 questions · ~10 min
Q01
Message

Welcome! This survey explores your experience with User Acceptance Testing (UAT) processes — specifically plan clarity and feedback loops. It should take about 5–7 minutes. Your participation is completely voluntary, and you may stop at any time. There are no right or wrong answers; we are interested in your honest opinions. All responses are confidential and will be reported only in aggregate to improve our UAT practices.

Q02
Multiple Choice

In the last 6 months, have you been directly involved in User Acceptance Testing (UAT) for a project?

  • Yes
  • No
  • Not sure
Q03
Multiple Choice

On your most recent project, which best describes the UAT plan?

  • Documented and followed
  • Documented but not followed
  • No documented plan existed
  • Not sure
Q04
Multiple Choice

Which channel was the primary way UAT feedback was collected on your most recent project?

  • Bug tracker (e.g., Jira)
  • Structured test cases or forms
  • Chat/DM (e.g., Slack, Teams)
  • Email
  • Live review or meetings
  • In-app prompts
  • Other (please specify)
Q05
Dropdown

Approximately how many issues were identified during UAT on your most recent project?

  • 0
  • 1–5
  • 6–15
  • 16–30
  • 31–50
  • More than 50
  • Not sure
Q06
Multiple Choice

Which single area should be the top priority for improving UAT?

  • Earlier test planning
  • Tester selection and availability
  • Environment stability
  • Test data management
  • Documentation and templates
  • Feedback tooling
  • Triage and ownership process
  • Prioritization of UAT issues
  • Communication and updates
  • Time allocation for UAT
  • Other (please specify)
Q07
Multiple Choice

What is your primary role?

  • Product Management
  • Engineering/Development
  • Quality Assurance/Testing
  • Design/UX
  • Project/Program Management
  • Other (please specify)
Q08
Message

Thank you for completing this survey! Your responses will be used in aggregate to inform improvements to our UAT planning and feedback processes.

Q09
Opinion Scale

How clear was the UAT plan for your most recent project?

Scale: 17
Min:Not at all clearMax:Extremely clear
Q10
Opinion Scale

How quickly was UAT feedback typically triaged and assigned on your most recent project?

Scale: 17
Min:Very slowlyMax:Very quickly
Q11
Opinion Scale

How often did fixes need to be reopened or re-tested during UAT on your most recent project?

Scale: 17
Min:NeverMax:Very often
Q12
AI Interview

Based on your responses, please share any specific examples, suggestions, or additional thoughts about improving UAT plans and feedback loops.

Q13
Multiple Choice

How many years of experience do you have participating in UAT?

  • Less than 1 year
  • 1–3 years
  • 4–6 years
  • 7–10 years
  • More than 10 years
Q14
Opinion Scale

How well did the UAT plan define the scope of what was being tested?

Scale: 17
Min:Very poorlyMax:Very well
Q15
Opinion Scale

How effective was the feedback loop at keeping testers informed about issue status and resolution?

Scale: 17
Min:Not at all effectiveMax:Extremely effective
Q16
Opinion Scale

How confident were you in signing off for release after UAT was completed?

Scale: 17
Min:Not at all confidentMax:Extremely confident
Q17
Multiple Choice

What is your primary region or time zone?

  • Americas
  • EMEA
  • APAC
  • Other/Multiple
Q18
Opinion Scale

How well did the UAT plan define acceptance criteria (pass/fail conditions)?

Scale: 17
Min:Very poorlyMax:Very well
Q19
Long Text

What were the top one or two blockers to timely, actionable UAT feedback on your most recent project?

Q20
Multiple Choice

Approximately how many people were involved in your most recent UAT?

  • 1–5
  • 6–10
  • 11–20
  • 21+
  • Not sure
Q21
Opinion Scale

How well did the UAT plan cover realistic test scenarios and data?

Scale: 17
Min:Very poorlyMax:Very well
Q22
Opinion Scale

How well did the UAT plan specify the timeline and milestones?

Scale: 17
Min:Very poorlyMax:Very well
Q23
Opinion Scale

How well did the UAT plan define roles and responsibilities?

Scale: 17
Min:Very poorlyMax:Very well

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

  • AI follow-ups automatically explore the 'why' behind concept reactions, replacing shallow rating-only templates
  • Academic-grade methodology with proper scale construction—no leading questions or attention checks that bias results
  • Full reproducibility: every AI prompt, model parameter, and logic branch is logged and visible for replication studies

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Where it falls short

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Where it falls short

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  • Logic Jumps allow basic conditional branching

Where it falls short

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Where it falls short

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Where it falls short

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  • General product feedback focus—not purpose-built for concept evaluation research
  • AI features limited to survey creation assistance, not real-time interview probing
  • No transparency into AI model or prompt decisions

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.