Q01
Long Text
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Feature Flag Risk & Rollback Readiness Assessment
Measures engineering teams' risk tolerance, monitoring confidence, and rollback preparedness for feature-flagged deployments. Designed for engineers, SREs, and product managers managing progressive rollouts.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
20 questions · ~4 min
Q02
Multiple Choice
Does your team currently use feature flags or similar runtime toggles (e.g., LaunchDarkly, Unleash, homegrown systems)?
Q03
Long Text
For typical changes protected by a feature flag or canary, how much rollout risk is your team comfortable accepting?
Q04
Long Text
How confident are you that your team's monitoring and alerting would detect a problematic flagged change within approximately 10 minutes?
Q05
Long Text
How confident are you that your team can roll back or disable a problematic flagged change quickly?
Q06
Long Text
Based on your responses in this survey, please share any additional thoughts or reflections about how your team manages risk, monitoring, or rollback for flagged changes.
Q07
Multiple Choice
What is your primary role?
Q08
Long Text
Thank you for completing this survey! Your insights will help improve feature flag risk management practices. All responses are confidential and will be reported in aggregate only.
Q09
Long Text
For a typical flagged change, what percentage of active users experiencing a negative impact would trigger a rollback decision?
Q10
Long Text
<p>How well does your team monitor <strong>error rates and exceptions</strong> for changes behind feature flags?</p>
Q11
Long Text
What is the typical time from the decision to roll back a flagged change to it being fully reverted or disabled?
Q12
AI Interview
Thank you for your survey responses. I'd like to ask a couple of follow-up questions to better understand your team's approach to risk, monitoring, and rollback for flagged changes.
Q13
Long Text
How many years of professional experience do you have?
Q14
Long Text
<p>How well does your team monitor <strong>latency and performance metrics</strong> for changes behind feature flags?</p>
Q15
Long Text
Approximately how many employees work at your company?
Q16
Long Text
<p>How well does your team monitor <strong>business/product metrics</strong> (e.g., conversion rates, revenue) for changes behind feature flags?</p>
Q17
Long Text
What is your company's primary industry?
Q18
Long Text
<p>How well does your team monitor <strong>user-facing logs and anomalies</strong> for changes behind feature flags?</p>
Q19
Long Text
In which region are you primarily based?
Q20
Long Text
What, if any, gaps exist in your team's monitoring or alerting for flagged changes?
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.