Q01
Long Text
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SRE/DevOps On-Call Workload & Recovery Assessment
Measures on-call alert burden, interruption impact, recovery effectiveness, and compensation preferences across engineering teams to benchmark workload and identify actionable improvements to reduce burnout.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
25 questions · ~4 min
Q02
Multiple Choice
When was your most recent on-call rotation?
Q03
Multiple Choice
How often are you currently scheduled for primary on-call duty?
Q04
Long Text
Overall, how demanding was your most recent on-call rotation?
Q05
Multiple Choice
Which of the following practices, if any, do you use to regain focus after handling alerts? Select all that apply.
Q06
Long Text
How satisfied are you with your current alerting and paging tools overall?
Q07
Long Text
To what extent, if at all, would additional compensation improve your overall experience with on-call work?
Q08
Long Text
What single change would most improve on-call workload or recovery for your team?
Q09
Multiple Choice
What best describes your primary role?
Q10
Long Text
Thank you for completing this survey — your responses have been recorded and will be used to improve on-call practices. Your input is greatly appreciated!
Q11
Long Text
Approximately how many total hours did your most recent on-call rotation cover?
Q12
Long Text
During your most recent rotation, how frequently did alerts interrupt your deep work or coding sessions?
Q13
Long Text
Overall, how effective are your current recovery practices at helping you regain focus after on-call interruptions?
Q14
Long Text
Please rank the following potential improvements by how much they would improve your on-call experience (1 = highest impact).
Q15
Multiple Choice
If additional compensation were offered for on-call work, which forms would you find most valuable? Select up to 3.
Q16
AI Interview
Based on your responses throughout this survey, please share any additional thoughts about your on-call experience, workload, or recovery practices.
Q17
Long Text
How many years of professional experience do you have?
Q18
Long Text
Approximately how many distinct alerts or pages did you receive during that rotation?
Q19
Long Text
During your most recent rotation, how frequently did alerts interrupt meetings or collaborative work?
Q20
Long Text
If monetary compensation were provided, what would you consider a reasonable additional payment per on-call rotation?
Q21
Long Text
Approximately how many employees work at your organization?
Q22
Long Text
How many of those alerts woke you from sleep?
Q23
Long Text
During your most recent rotation, how frequently did alerts interrupt your personal or family time (outside work hours)?
Q24
Long Text
How disruptive were alert-driven context switches to your overall productivity during your most recent rotation?
Q25
Long Text
During work hours, how long does it typically take you to regain full focus after handling a non-trivial alert?
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.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.