Assess uptime, outages, error budgets, incident response, and SLA expectations. Use this template to benchmark reliability and prioritize fixes for developers.
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
21
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
Multiple Choice
How often do you deploy changes to production?
Multiple times per day
Daily
Weekly
Every 2 to 4 weeks
Monthly or less
Q2
Numeric
In the past 30 days, how many user-impacting incidents did your team handle?
Accepts a numeric value
Whole numbers only
Q3
Matrix
In the past 90 days, how often have you observed the following symptoms?
Rows
Never
Rarely
Sometimes
Often
Very often
Latency spikes
•
•
•
•
•
Elevated 5xx or failed requests
•
•
•
•
•
Timeouts/retries
•
•
•
•
•
Database saturation/locks
•
•
•
•
•
CPU or memory pressure
•
•
•
•
•
Third-party dependency failures
•
•
•
•
•
Deployment rollbacks
•
•
•
•
•
Q4
Multiple Choice
Are you part of an on-call rotation for production services?
Yes
No
Q5
Numeric
In the past 30 days, about how many pages or high-priority alerts did you personally receive? (Enter 0 if none)
Accepts a numeric value
Whole numbers only
Q6
Ranking
Rank on-call pain points from most to least painful. (If you are not on call, you may skip this.)
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Runbook gaps or outdated steps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
How confident are you that error handling is robust across critical user and system paths today?
Range: 1 – 10
Min: Not confidentMid: NeutralMax: Very confident
Q8
Long Text
Please describe the most important error-handling gap you noticed in the past 90 days. What was the impact, and how was it addressed (if at all)?
Max 600 chars
Q9
Rating
Rate the overall usefulness of alerts during incidents (signal-to-noise, clarity, actionability).
Scale: 11 (star)
Min: PoorMax: Excellent
Q10
Constant Sum
Allocate 100 points across the SLA/SLO dimensions that matter most to your team.
Total must equal 100
Availability (uptime %)
Request latency targets
Error rate / error budget
Data freshness/latency targets
Throughput or capacity targets
RTO (time to restore)
RPO (data loss tolerance)
Support response times
Cost predictability
Min per option: 0Whole numbers only
Q11
Multiple Choice
What is your primary role?
Software engineer (IC)
Tech lead/Engineering manager
SRE/DevOps/Platform
Data/ML engineer
QA/Testing
Architect
Product manager
Other
Q12
Multiple Choice
How many years of professional software experience do you have?
0–1
2–4
5–9
10–14
15+
Q13
Multiple Choice
Approximately how large is your company?
1–10
11–50
51–200
201–1,000
1,001–5,000
5,001+
Q14
Multiple Choice
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
Q15
Multiple Choice
Where are you primarily located?
North America
Europe
APAC
Latin America
Middle East/Africa
Q16
Multiple Choice
What is the typical size of the team responsible for your primary service/system?
1–3
4–7
8–15
16+
Q17
Multiple Choice
Attention check: To confirm you are paying attention, please select “Agree.”
Strongly disagree
Disagree
Neutral
Agree
Strongly agree
Q18
Long Text
If you could trade performance or features for greater stability, what would you change first, and why?
Max 600 chars
Q19
Chat Message
Welcome! This brief survey takes about 7–10 minutes. Your responses are confidential and used in aggregate only.
Q20
AI Interview
AI Interview: 2 Follow-up Questions on Reliability and SLAs
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Q21
Chat Message
Thank you for your time—your input will help us focus on the reliability outcomes that matter most.
Frequently Asked Questions
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