User Acceptance Testing (UAT) Survey Template
Use this UAT survey template to turn tester notes into decision-grade signals: task success, blockers, usability, and release readiness. You can route every reported issue into a clear triage bucket (must-fix vs later) and walk into the go/no-go meeting with a simple scorecard, not a pile of comments.
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When to Send a UAT Survey (3 best moments)
After scripted UAT tasks in the UAT/staging environment
Send the survey immediately after testers finish the assigned workflows (for example: create order, approve invoice, run month-end report). Capture task completion, blockers, and where people got confused while details and repro steps are still fresh.
After a pilot group completes a day/week of real-work usage
Send it at the end of the pilot window to capture reliability and workflow fit (permissions, handoffs, edge cases). Ask for frequency and business impact so you can separate one-off quirks from repeated production risks.
After a migration/configuration validation cycle, before formal sign-off
Send it right after data checks, role setup, and integration validations. Use the readiness items as an acceptance checkpoint before the sign-off meeting.
- Complete tasks.
- Send the survey immediately.
- Consolidate findings.
- Run the defect triage meeting.
Scope: keep using test-case pass/fail logs and your defect tracker as the system of record. Use the survey to capture effectiveness, efficiency, and satisfaction signals that align with usability concepts in ISO 9241-11 usability definitions and concepts.
Who Should Take This UAT Survey (and how to sample)
Use this section to pick the right UAT respondents so you can trust the go/no-go signal. First, list your critical workflows (3-7) and the roles that execute or approve each one.
Choose respondents who match real production usage, not just the project team. Mix everyday end users, power users, business SMEs who approve rules, and admins who own roles, permissions, integrations, and reporting.
- Cover each workflow x role combination: If AP clerks and AP managers run different steps, sample both. If Finance and Sales see different screens, sample both.
- Route with skip logic: If the respondent is an admin, show permission/integration questions. If the respondent is an end user, show task completion and usability items.
- Balance the voices: Avoid over-weighting only super-users (they tolerate rough edges) or only novices (they may fail tasks due to training gaps).
- Set expectations for small groups: UAT often has limited seats. Use sample size guidance for small UAT groups to plan coverage by workflow rather than chasing a large n.
- Minimize sensitive data: Do not ask for customer names, account numbers, or screenshots containing PII unless you have a defined handling process.
- Use informed participation: Tell testers how responses will be used, who will see them, and whether follow-up will happen (align your invitation and confidentiality note with AAPOR best practices for survey research).
Next, lock your branching plan: if someone did not test a workflow, skip the detailed follow-ups and ask what prevented testing (access, data, environment, time).
High-signal UAT Survey Questions (task success -> readiness)
"What is your role for this UAT session?"
Why it matters: Role drives screens, permissions, and what "done" looks like. Without role, you cannot interpret failures or route the fix to the right owner.
When to use: Put first. Use it to branch: end user vs SME vs admin.
"Which environment did you test in?"
Why it matters: UAT results are only actionable if you know where the issue occurred (UAT vs staging vs sandbox) and whether data and config matched the test plan.
When to use: Include in every run. Add a free-text field for the URL or environment label if you have multiple instances.
"Which workflows did you test today? (Select all that apply)"
Why it matters: You need coverage context before you read the ratings. It also lets you show only the relevant follow-ups per workflow or module.
When to use: Use as your routing question. Example options: Create order, Approve order, Invoice, Refund, Month-end report, Admin role setup.
"Were you able to complete the workflow end-to-end?"
Why it matters: End-to-end completion is your primary acceptance signal. It separates "annoying" from "blocking" quickly.
When to use: Ask once per critical workflow. If "No," branch into the blocker and defect-detail prompts.
"What blocked you from completing the workflow?"
Why it matters: A short, structured blocker description speeds triage and prevents vague tickets like "it didn't work."
When to use: Show only if the respondent did not complete the workflow or selected "Blocked." Add a dropdown for blocker type (access, data, performance, bug, unclear steps).
"How easy was it to complete the workflow?"
Why it matters: A workflow can be technically possible but still too hard to learn, which creates support load and adoption risk after launch.
When to use: Ask after each completed workflow. Use a labeled Likert scale question design (for example: Very difficult, Difficult, Neither, Easy, Very easy).
"The system responded fast enough for me to complete my work without waiting."
Why it matters: Slow response time often shows up as "I couldn't finish" even when no defect exists. A clear rating lets you separate performance from functional bugs.
When to use: Include for performance-sensitive workflows (search, save, reporting). Add an optional field: "Where did it feel slow?"
"The data and calculations matched our business rules (totals, taxes, statuses, approvals)."
Why it matters: Business-rule mismatches are high-risk because they look like "working software" until real transactions fail.
When to use: Show to SMEs and approvers. Add a follow-up: "Which rule did not match, and what result did you expect?"
"I think that I would like to use this system frequently."
Why it matters: A small SUS-style block gives you a directional usability score you can trend across releases, even when UAT participants change.
When to use: Optional module. If you include SUS-style items, keep the full set consistent across runs and score them the standard way described in Bangor et al.'s SUS evaluation.
"Using this system would improve my job performance."
Why it matters: Usefulness and ease-of-use items flag adoption risk even when the build is technically acceptable.
When to use: Optional module. Keep 2-4 items total so you do not bloat the survey (the classic starting point is Davis (1989) Technology Acceptance Model).
"The interface is consistent from screen to screen (labels, buttons, terminology)."
Why it matters: Consistency issues are a common root cause of training burden and avoidable errors.
When to use: Optional add-on when you need UI-specific signals. Keep it short and tie items to heuristics like consistency, error prevention, and feedback (see Nielsen and Molich's heuristic evaluation paper).
"Overall, should we proceed with launch?"
Why it matters: A direct readiness question forces a decision and gives you a simple headline metric for the go/no-go meeting.
When to use: Put at the end, after task and defect questions. Offer choices like: Go, Go with conditions, No-go.
How to Customize and Deploy the UAT Survey (fast, actionable feedback)
- Set the basics: Fill in release name/version, dates, and the environment label (for example: "UAT-2" or "Staging").
- List 3-7 critical workflows: Show them as a checklist so respondents only answer what they actually tested (for example: "Create order," "Approve order," "Run month-end report").
- Define severity with examples: Put the definitions directly in the survey so testers self-calibrate (Critical = cannot complete workflow/no workaround; High = workaround exists but major impact; Medium = slows work; Low = cosmetic).
- Choose 3-5 go/no-go criteria: Write them as a scorecard you can repeat every release. Example internal starter targets (adjust after your baseline): "0 Critical defects open," "95%+ task success on top workflows," "no data accuracy failures in Finance checks."
- Branch by role and module: If the respondent is an admin, show permission/integration questions. If the respondent is an end user, show usability and task-friction questions. If they did not test a module, skip it.
- Keep it short to protect completion: Internal starter target (adjust after your baseline): under 5 minutes. Send it immediately after the session, use one reminder, and avoid unnecessary PII. Use survey design best practices to tighten wording, label scales, and avoid double-barreled items (a practical checklist is also in Imperial College London's questionnaire design tips).
- Copy/paste a defect detail prompt: Ask non-technical testers for ticket-ready info. Use open-ended question examples (for repro steps and context), then paste this prompt: "Steps to reproduce: __. Expected result: __. Actual result: __. Frequency: (Every time/Sometimes/Once). Impact: (Blocks work/Slows work/Minor). Attach screenshot/log link: __."
- Tag every response for export: Add fields for workflow/module, severity, and environment so you can filter fast and hand off a clean list into your triage meeting.
Analyze UAT Survey Results and Make a Go/No-Go Call
- Summarize blockers by workflow/module and severityExport results and sort by (1) critical workflow, (2) completion status, and (3) severity. Write a one-screen summary like: "Checkout: 18 tested, 3 blocked (2 Critical, 1 High); Reporting: 11 tested, 0 blocked."
- Compute the SUS-style score (if you included the SUS items)Score SUS the standard way and trend it release-to-release rather than treating it as a single hard gate (scoring and interpretation details are summarized in Bangor et al.'s SUS evaluation). Pair the score with task success so you can separate "usable but broken" from "works but feels hard."
- Use TAM-style usefulness/ease items as adoption risk flagsScan usefulness/ease ratings for red flags by role (for example: managers are positive but frontline users are negative). Treat low usefulness as a training/process issue or missing feature issue, using the classic TAM lens from Davis (1989).
- Convert findings into triage buckets and a readiness threshold
Turn responses into three buckets:
- Must-fix before launch: blocks critical workflows, breaks business rules, or creates unacceptable risk.
- Fix soon after launch: high-friction issues with a viable workaround.
- Backlog: low-impact improvements and cosmetics.
Use a simple threshold pattern you can defend in the go/no-go meeting (internal starter targets; adjust after your baseline), such as: "No open Critical defects + at least 90% task success on top 3 workflows + no repeated data accuracy failures." Keep the survey short to protect completion and response quality (survey length can reduce response in practice; see evidence discussed in BMC Medical Research Methodology on questionnaire length effects). Also: do not treat the survey as your defect system of record; create or link tickets in your tracker and store the ticket ID back in your triage notes.
Frequently Asked Questions
Is a UAT survey a substitute for test cases and a defect tracker?
No. Each tool serves a different purpose:
- Test cases: execution evidence (coverage and pass/fail).
- Defect tracker: system of record for bugs and fixes.
- UAT survey: user-perceived blockers, usability friction, and readiness signals with structured context (role, workflow, environment) to speed triage.
How long should a UAT survey be?
Keep it short and focused. Internal starter target (adjust after your baseline): 3-7 minutes.
- Ask about critical workflows, completion/blockers, severity, and a go/no-go decision.
- Use branching by role and module so each tester answers fewer questions while you still get the details you need.
When exactly should I send the UAT survey during the UAT cycle?
Send it while details are fresh and before triage decisions are made:
- Right after testers finish scripted tasks, or
- At the end of a defined pilot window (day/week) of real-work usage, and
- Before the defect triage meeting (send a single reminder if needed).
Should the UAT survey be anonymous or identifiable?
Default to confidential with optional contact info. Collect identity only if you have a defined follow-up process and testers consent.
- Avoid unnecessary PII, especially for customer-facing UAT.
- Keep screenshot/log uploads controlled with a clear handling process.
How do I define severity levels so the results are actionable?
Use a simple rubric tied to business impact and workaround availability:
- Critical: cannot complete workflow, no workaround.
- High: workaround exists but major impact.
- Medium: slows work or increases errors.
- Low: cosmetic or minor annoyance.
Show the definitions inline next to the severity question so respondents rate issues consistently.
How do I score and interpret SUS-style questions in UAT?
Use the standard SUS scoring approach (convert each item to a 0-4 contribution, sum, and multiply to get a 0-100 score) and keep the SUS items unchanged across runs so the trend is meaningful.
Treat SUS as a directional usability signal alongside task success and blocker counts; comparisons across releases are usually more useful than treating SUS as a single go/no-go gate.
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