Measures engineering teams' risk tolerance, monitoring confidence, and rollback preparedness for feature-flagged deployments. Designed for engineers, SREs, and product managers managing progressive rollouts.
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
20
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! This survey explores how engineering teams manage risk, monitoring, and rollback for changes behind feature flags or similar toggles.
Your participation is voluntary, and you may stop at any time. There are no right or wrong answers—we're interested in your honest experience. Responses are confidential and will be reported in aggregate only.
Estimated time: 5–7 minutes.
Q2
Multiple Choice
Does your team currently use feature flags or similar runtime toggles (e.g., LaunchDarkly, Unleash, homegrown systems)?
Yes
No
Q3
Opinion Scale
For typical changes protected by a feature flag or canary, how much rollout risk is your team comfortable accepting?
Range: 1 – 7
Min: Very risk-averseMid: NeutralMax: Very comfortable with risk
Q4
Dropdown
For a typical flagged change, what percentage of active users experiencing a negative impact would trigger a rollback decision?
0.1% of active users
0.5%
1%
2%
5%
More than 5%
Not sure
Q5
Opinion Scale
How confident are you that your team's monitoring and alerting would detect a problematic flagged change within approximately 10 minutes?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q6
Opinion Scale
<p>How well does your team monitor <strong>error rates and exceptions</strong> for changes behind feature flags?</p>
Range: 1 – 5
Min: Not monitored at allMid: NeutralMax: Fully monitored with automated alerts
Q7
Opinion Scale
<p>How well does your team monitor <strong>latency and performance metrics</strong> for changes behind feature flags?</p>
Range: 1 – 5
Min: Not monitored at allMid: NeutralMax: Fully monitored with automated alerts
Q8
Opinion Scale
<p>How well does your team monitor <strong>business/product metrics</strong> (e.g., conversion rates, revenue) for changes behind feature flags?</p>
Range: 1 – 5
Min: Not monitored at allMid: NeutralMax: Fully monitored with automated alerts
Q9
Opinion Scale
<p>How well does your team monitor <strong>user-facing logs and anomalies</strong> for changes behind feature flags?</p>
Range: 1 – 5
Min: Not monitored at allMid: NeutralMax: Fully monitored with automated alerts
Q10
Long Text
What, if any, gaps exist in your team's monitoring or alerting for flagged changes?
Max chars
Q11
Opinion Scale
How confident are you that your team can roll back or disable a problematic flagged change quickly?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q12
Dropdown
What is the typical time from the decision to roll back a flagged change to it being fully reverted or disabled?
Less than 1 minute
1–5 minutes
6–15 minutes
16–30 minutes
More than 30 minutes
Not sure
Q13
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.
Max chars
Q14
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.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 5
Q15
Multiple Choice
What is your primary role?
Backend engineer
Frontend/Web engineer
Mobile engineer
DevOps/SRE
Data/ML engineer
QA/Testing
Product manager
Engineering manager
Other
Prefer not to say
Q16
Dropdown
How many years of professional experience do you have?
0–1
2–4
5–9
10–14
15+
Prefer not to say
Q17
Dropdown
Approximately how many employees work at your company?
1–10
11–50
51–200
201–1,000
1,001–5,000
5,001–10,000
10,001+
Prefer not to say
Q18
Dropdown
What is your company's primary industry?
Software/SaaS
E-commerce
Fintech/Financial services
Media/Entertainment
Healthcare
Telecom
Gaming
Other
Prefer not to say
Q19
Dropdown
In which region are you primarily based?
North America
Europe
Asia-Pacific
Latin America
Middle East
Africa
Prefer not to say
Q20
Chat Message
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.
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