On-Call Workload, Interruptions, Recovery, and Compensation Survey Template
Measure on-call load, alert fatigue, interruption costs, and recovery practices. Ready-to-use template for SRE/DevOps teams to benchmark and reduce burnout.
What's Included
AI-Powered Questions
Intelligent follow-up questions based on responses
Automated Analysis
Real-time sentiment and insight detection
Smart Distribution
Target the right audience automatically
Detailed Reports
Comprehensive insights and recommendations
Sample Survey Items
Q1
Multiple Choice
How often are you currently scheduled for primary on-call?
Every week
Every 2 weeks
Monthly
Every 6–8 weeks
Quarterly or less
Ad hoc/back-up only
Q2
Multiple Choice
When was your last 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
Q3
Numeric
Roughly, how many total hours did that on-call rotation cover?
Accepts a numeric value
Whole numbers only
Q4
Numeric
Roughly, how many distinct alerts/pages did you receive during that rotation?
Accepts a numeric value
Whole numbers only
Q5
Numeric
Roughly, how many alerts during that rotation woke you from sleep?
Accepts a numeric value
Whole numbers only
Q6
Opinion Scale
Overall, how demanding was your most recent on-call rotation?
Range: 1 – 10
Min: Very lightMid: ModerateMax: Extremely heavy
Q7
Matrix
In your most recent rotation, how often did alerts interrupt the following?
Rows
Never
Rarely
Sometimes
Often
Very often
Deep work (coding/design)
•
•
•
•
•
Meetings or collaboration
•
•
•
•
•
Sleep
•
•
•
•
•
Personal time
•
•
•
•
•
Q8
Rating
How disruptive were alert-driven context switches to your productivity?
Scale: 10 (star)
Min: Not disruptiveMax: Extremely disruptive
Q9
Dropdown
Typical time to regain focus during work hours 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
Q10
Multiple Choice
Which practices do you use to regain focus after alerts? Select all that apply.
Take a short break
Write notes/todo before switching
Time-block a recovery window
Silence non-essential notifications
Post-incident recap with team
Pomodoro or similar cadence
Meditation/breathing
Caffeine
Change tasks for a while
Other option allowed
Q11
Rating
How effective are your recovery practices overall?
Scale: 10 (star)
Min: Not effectiveMax: Very effective
Q12
Opinion Scale
How satisfied are you with your alerting/paging tooling overall?
Range: 1 – 10
Min: Very dissatisfiedMid: NeutralMax: Very satisfied
Q13
Ranking
Rank the following improvements by their expected impact on your overall satisfaction with on-call work (1 = highest impact).
Drag to order (top = most important)
Better alert routing/noise reduction
Clearer runbooks/playbooks
More automation/self-healing
Smarter scheduling/coverage
Focus/quiet-hours protection
Faster incident tooling/UI
Improved compensation and incentives for on-call work
Q14
Long Text
What changes would most improve on-call load or recovery for your team?
Max 600 chars
Q15
Multiple Choice
Would receiving extra compensation help offset the stress associated with on-call work?
Yes, definitely
Maybe, to some extent
No, it would not help
Not sure
Q16
Multiple Choice
What type of compensation would you prefer for on-call work?
Monetary bonus
Additional paid time off
Flexible work hours
Professional development opportunities
Recognition or awards
Other option allowed
Q17
Multiple Choice
If you were to receive monetary compensation for on-call work, which form would you prefer?
Fixed stipend
Per incident payment
Hourly pay for on-call hours
Performance-based bonus
Other option allowed
Q18
Short Text
What would be a reasonable additional payment amount (in $) for each on-call work session?
Max 100 chars
Q19
AI Interview
AI Interview: 2 Follow-up Questions on On-call Workload and Recovery
AI InterviewLength: 2Personality: Expert InterviewerMode: Fast
Reference questions: 17
Q20
Multiple Choice
What is your primary role?
SRE/Site Reliability Engineer
Platform/Infrastructure Engineer
Backend Engineer
Frontend Engineer
Full-stack Engineer
Data/ML Engineer
QA/Testing
Engineering Manager/Tech Lead
Other
Q21
Dropdown
Years of professional experience:
Less than 1
1–2
3–5
6–10
11–15
16–20
More than 20
Q22
Dropdown
Organization size (employees):
1–10
11–50
51–200
201–1,000
1,001–5,000
5,001–10,000
More than 10,000
Q23
Multiple Choice
Attention check: To confirm you are paying attention, please select "I am paying attention".
I am paying attention
I am not sure
Prefer not to say
Q24
Chat Message
Thanks for your time—your responses have been recorded!
Ready to Get Started?
Launch your survey in minutes with this pre-built template