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DevOps Reliability & Incident Response Assessment

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.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

24 questions · ~4 min
Q01
Long Text

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.

Q02
Multiple Choice

How often does your team deploy changes to production?

Q03
Long Text

In the past 30 days, approximately how many user-impacting incidents did your team handle?

Q04
Long Text

In the past 90 days, how often has your team experienced cascading failures or dependent-service outages?

Q05
Long Text

How confident are you that error handling is robust across your team's critical user and system paths today?

Q06
Long Text

Rank the following SLA/SLO dimensions by importance to your team, from most to least important.

Q07
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.

Q08
Long Text

If you could trade performance or features for greater stability, what would you change first, and why?

Q09
Multiple Choice

What is your primary role?

Q10
Long Text

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.

Q11
Multiple Choice

Are you currently part of an on-call rotation for production services?

Q12
Long Text

In the past 30 days, approximately how many pages or high-priority alerts did you personally receive?

Q13
Long Text

In the past 90 days, how often has your team experienced degraded response times or latency spikes noticeable to users?

Q14
Long Text

Overall, how useful are your production alerts during incidents?

Q15
Long Text

How well does your team currently meet its primary SLA/SLO targets?

Q16
Multiple Choice

How many years of professional software experience do you have?

Q17
Long Text

Rank the following on-call pain points from most to least painful.

Q18
Long Text

In the past 90 days, how often has your team experienced deployment rollbacks or failed releases?

Q19
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)?

Q20
Multiple Choice

Approximately how large is your company?

Q21
Long Text

In the past 90 days, how often has your team experienced data inconsistencies or silent failures?

Q22
Long Text

Which industry best describes your organization?

Q23
Multiple Choice

Where are you primarily located?

Q24
Multiple Choice

What is the typical size of the team responsible for your primary service or system?

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.