Feature Flag Risk & Rollback Readiness Assessment

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: 10 minutes.

Does your team currently use feature flags or similar runtime toggles (e.g., LaunchDarkly, Unleash, homegrown systems)?

• Yes
• No

For typical changes protected by a feature flag or canary, how much rollout risk is your team comfortable accepting?

How confident are you that your team's monitoring and alerting would detect a problematic flagged change within approximately 10 minutes?

How confident are you that your team can roll back or disable a problematic flagged change quickly?

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.

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

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.

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

<p>How well does your team monitor <strong>error rates and exceptions</strong> for changes behind feature flags?</p>

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

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.

How many years of professional experience do you have?

• 0–1
• 2–4
• 5–9
• 10–14
• 15+
• Prefer not to say

<p>How well does your team monitor <strong>latency and performance metrics</strong> for changes behind feature flags?</p>

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

<p>How well does your team monitor <strong>business/product metrics</strong> (e.g., conversion rates, revenue) for changes behind feature flags?</p>

What is your company's primary industry?

• Software/SaaS
• E-commerce
• Fintech/Financial services
• Media/Entertainment
• Healthcare
• Telecom
• Gaming
• Other
• Prefer not to say

<p>How well does your team monitor <strong>user-facing logs and anomalies</strong> for changes behind feature flags?</p>

In which region are you primarily based?

• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East
• Africa
• Prefer not to say

What, if any, gaps exist in your team's monitoring or alerting for flagged changes?