Post-Task Usability & Ease Survey (SEQ)
A post-task usability instrument using the validated Single Ease Question (SEQ) to measure task completion, perceived ease, and satisfaction. Ideal for UX researchers conducting moderated or unmoderated usability studies who need benchmarkable ease-of-use data alongside qualitative insight.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Which option best describes your outcome on this task?
- Completed as intended
- Partially completed
- Unable to complete
Overall, how easy or difficult was this task?
Based on the task you just completed, what (if anything) made it easier or harder? Please also share any other thoughts about your experience.
What is your age group?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Thank you for your feedback! Your responses have been recorded and will help us improve this experience.
Before this session, how familiar were you with tasks like the one you just completed?
How satisfied are you with your overall experience completing this task?
Which best describes your gender?
- Woman
- Man
- Non-binary or gender diverse
- Prefer not to say
What country or region are you in?
- United States
- United Kingdom
- Canada
- Australia
- Germany
- France
- India
- Brazil
- Japan
- Other
- Prefer not to say
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.
Why this template
What this template is built to do — we found no directly comparable template from other survey tools to review.
What sets it apart
- Uses the validated Single Ease Question (SEQ) alongside a task-outcome check, giving benchmarkable ease-of-use data instead of a generic form
- Includes an AI follow-up interview that adaptively probes what made the task easier or harder, capturing qualitative context a static form can't
- Combines quantitative scales (prior familiarity, ease, satisfaction) with demographic questions for segment-level analysis
- Opens and closes with clear participant-facing messaging, and results feed into an auto-generated report rather than raw export-only data
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
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