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.
When was your most recent on-call rotation?
- Within the last week
- Within the last 2 weeks
- Within the last month
- Within the last 3 months
- More than 3 months ago
- I have never been on-call
How often are you currently scheduled for primary on-call duty?
- Every week
- Every 2 weeks
- Monthly
- Every 6–8 weeks
- Quarterly or less
- Ad hoc / back-up only
- Other
Overall, how demanding was your most recent on-call rotation?
Which of the following practices, if any, do you use to regain focus after handling alerts? Select all that apply.
- Take a short break
- Write notes/to-do list before switching tasks
- Time-block a recovery window
- Silence non-essential notifications
- Post-incident recap with team
- Pomodoro or similar timed-work cadence
- Meditation or breathing exercises
- Caffeine
- Switch to a different task temporarily
- None of the above
- Other (please specify)
How satisfied are you with your current alerting and paging tools overall?
To what extent, if at all, would additional compensation improve your overall experience with on-call work?
What single change would most improve on-call workload or recovery for your team?
What best describes your primary role?
- SRE / Site Reliability Engineer
- Platform / Infrastructure Engineer
- Backend Engineer
- Frontend Engineer
- Full-stack Engineer
- Data / ML Engineer
- QA / Testing Engineer
- Engineering Manager / Tech Lead
- DevOps Engineer
- Other (please specify)
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!
Approximately how many total hours did your most recent on-call rotation cover?
- Less than 8 hours
- 8–24 hours
- 25–48 hours
- 49–72 hours
- 73–120 hours (3–5 days)
- 121–168 hours (5–7 days)
- More than 168 hours (over a week)
During your most recent rotation, how frequently did alerts interrupt your deep work or coding sessions?
Overall, how effective are your current recovery practices at helping you regain focus after on-call interruptions?
Please rank the following potential improvements by how much they would improve your on-call experience (1 = highest impact).
- Better alert routing / noise reduction
- Clearer runbooks / playbooks
- More automation / self-healing systems
- Smarter scheduling / coverage distribution
- Focus / quiet-hours protection
- Faster incident tooling / UI
- Improved compensation and incentives
If additional compensation were offered for on-call work, which forms would you find most valuable? Select up to 3.
- Fixed monetary stipend per rotation
- Per-incident payment
- Hourly pay for on-call hours
- Additional paid time off
- Flexible work hours / schedule adjustments
- Professional development budget
- Recognition or awards
- Other (please specify)
Based on your responses throughout this survey, please share any additional thoughts about your on-call experience, workload, or recovery practices.
How many years of professional experience do you have?
- Less than 1
- 1–2
- 3–5
- 6–10
- 11–15
- 16–20
- More than 20
Approximately how many distinct alerts or pages did you receive during that rotation?
- 0
- 1–3
- 4–7
- 8–15
- 16–30
- 31–50
- More than 50
During your most recent rotation, how frequently did alerts interrupt meetings or collaborative work?
If monetary compensation were provided, what would you consider a reasonable additional payment per on-call rotation?
- Less than $50
- $50–$100
- $101–$200
- $201–$350
- $351–$500
- $501–$750
- $751–$1,000
- More than $1,000
- Not sure / prefer not to say
Approximately how many employees work at your organization?
- 1–10
- 11–50
- 51–200
- 201–1,000
- 1,001–5,000
- 5,001–10,000
- More than 10,000
How many of those alerts woke you from sleep?
- 0
- 1
- 2–3
- 4–5
- 6–10
- More than 10
During your most recent rotation, how frequently did alerts interrupt your personal or family time (outside work hours)?
How disruptive were alert-driven context switches to your overall productivity during your most recent rotation?
During work hours, how long does it typically take you to regain full focus after handling a non-trivial alert?
- Under 2 minutes
- 3–5 minutes
- 6–10 minutes
- 11–20 minutes
- 21–30 minutes
- More than 30 minutes
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
- Includes an AI follow-up interview that probes each respondent's specific on-call experience after they've answered the structured questions, rather than stopping at fixed fields
- Combines quantitative burden metrics (alert counts, sleep disruption, rotation hours) with opinion-scale ratings on interruption impact and recovery effectiveness, giving both scale and depth
- Directly asks about compensation preferences and reasonable additional pay amounts, translating workload data into an actionable, negotiable outcome
- Ends with automated reporting, so engineering leaders get a synthesized view of workload and burnout risk without manually coding open-text responses
SurveyMonkey
Employee Workload Survey TemplateA general-purpose employee workload template that could be adapted for engineering on-call contexts but isn't built specifically around alert volume, page frequency, or recovery practices. It's a fielding-ready static form, useful for broad workload sentiment rather than SRE-specific operational metrics. Good starting point if a team wants quick deployment without customizing for on-call nuances.
What it does well
- Fielding-ready, quick to deploy for general workload sentiment
- Backed by SurveyMonkey's established survey logic and reporting dashboard
- Broad applicability across departments, not just engineering
Where it falls short
- Not tailored to on-call specifics like alert counts, sleep interruptions, or paging tool satisfaction
- Static question set with no adaptive follow-up to probe individual burnout drivers
- No mechanism to convert workload complaints into compensation-preference 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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