Benchmarks uptime, incident response, on-call burden, error handling, and SLA priorities across engineering teams. Designed for SREs, DevOps engineers, and software developers managing production systems.
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
Template Overview
24
Questions
AI-Powered
Smart Analysis
Ready-to-Use
Launch in Minutes
This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.
Sample Survey Items
Q1
Chat Message
Welcome! Thank you for participating in this survey on DevOps reliability and incident response practices.
This survey takes approximately 7–10 minutes. Your participation is entirely voluntary, and you may stop at any time. There are no right or wrong answers—we are interested in your honest experience and opinions. All responses are confidential and will be reported in aggregate only.
Q2
Multiple Choice
How often does your team deploy changes to production?
Multiple times per day
Daily
Weekly
Every 2 to 4 weeks
Monthly or less
Q3
Multiple Choice
Are you currently part of an on-call rotation for production services?
Yes
No
Q4
Dropdown
In the past 30 days, approximately how many user-impacting incidents did your team handle?
0
1–2
3–5
6–10
11–20
More than 20
Q5
Dropdown
In the past 30 days, approximately how many pages or high-priority alerts did you personally receive?
0
1–5
6–15
16–30
31–60
More than 60
Q6
Ranking
Rank the following on-call pain points from most to least painful.
Drag to order (top = most important)
Noisy or low-signal alerts
Runbook gaps or outdated steps
Slow debugging due to limited traces/logs
Flaky deployments or rollbacks
Third-party instability
Q7
Opinion Scale
In the past 90 days, how often has your team experienced cascading failures or dependent-service outages?
Range: 1 – 5
Min: NeverMid: NeutralMax: Very frequently
Q8
Opinion Scale
In the past 90 days, how often has your team experienced degraded response times or latency spikes noticeable to users?
Range: 1 – 5
Min: NeverMid: NeutralMax: Very frequently
Q9
Opinion Scale
In the past 90 days, how often has your team experienced deployment rollbacks or failed releases?
Range: 1 – 5
Min: NeverMid: NeutralMax: Very frequently
Q10
Opinion Scale
In the past 90 days, how often has your team experienced data inconsistencies or silent failures?
Range: 1 – 5
Min: NeverMid: NeutralMax: Very frequently
Q11
Opinion Scale
How confident are you that error handling is robust across your team's critical user and system paths today?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q12
Opinion Scale
Overall, how useful are your production alerts during incidents?
Range: 1 – 7
Min: Not at all usefulMid: NeutralMax: Extremely useful
Q13
Long Text
Please describe the most important error-handling gap you noticed in the past 90 days. What was its impact, and how was it addressed (if at all)?
Max chars
Q14
Ranking
Rank the following SLA/SLO dimensions by importance to your team, from most to least important.
Drag to order (top = most important)
Availability (uptime %)
Request latency targets
Error rate / error budget
Data freshness or latency targets
Recovery time objective (RTO)
Recovery point objective (RPO)
Q15
Opinion Scale
How well does your team currently meet its primary SLA/SLO targets?
Range: 1 – 7
Min: Not at all wellMid: NeutralMax: Extremely well
Q16
AI Interview
We'd like to explore your reliability and SLA experiences in a bit more depth. An AI moderator will ask you a couple of follow-up questions based on your earlier responses.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 6
Q17
Long Text
If you could trade performance or features for greater stability, what would you change first, and why?
Max chars
Q18
Multiple Choice
What is your primary role?
Software engineer (IC)
Tech lead / Engineering manager
SRE / DevOps / Platform engineer
Data / ML engineer
QA / Testing
Architect
Product manager
Other
Q19
Multiple Choice
How many years of professional software experience do you have?
0–1
2–4
5–9
10–14
15+
Q20
Multiple Choice
Approximately how large is your company?
1–10
11–50
51–200
201–1,000
1,001–5,000
5,001+
Q21
Dropdown
Which industry best describes your organization?
SaaS / B2B software
Consumer internet
Financial services / Fintech
Healthcare / Life sciences
Gaming
Media / Entertainment
Retail / E-commerce
Industrial / IoT
Government / Public sector
Other
Q22
Multiple Choice
Where are you primarily located?
North America
Europe
Asia-Pacific
Latin America
Middle East / Africa
Q23
Multiple Choice
What is the typical size of the team responsible for your primary service or system?
1–3
4–7
8–15
16+
Q24
Chat Message
Thank you for completing this survey! Your input will help prioritize the reliability outcomes that matter most to engineering teams. All results will be reported in aggregate only.
Frequently Asked Questions
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