All Templates

SRE/DevOps Toil Measurement & Automation Gap Analysis

Quantifies toil sources, automation maturity, and incident-resolution quality for SRE, platform, and DevOps teams over a 30-day period. Use to benchmark reliability operations and prioritize tooling investments.

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

27

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 to the SRE/DevOps Toil & Automation Survey. This survey asks about your experience with operational toil, automation, and reliability tooling over the last 30 days. It should take approximately 6–8 minutes to complete. Your participation is voluntary and you may stop at any time. There are no right or wrong answers—we are interested in your honest experience. All responses are confidential and will be reported only in aggregate. Please click next to begin.
Q2
Multiple Choice
What is your primary role?
  • SRE / Production Engineer
  • Platform / Infrastructure Engineer
  • Software Engineer
  • DevOps Engineer
  • Engineering Manager
  • Other (please specify)
Q3
Multiple Choice
How often do you take on-call rotations?
  • Never
  • Ad hoc / occasionally
  • Weekly
  • Every 2 weeks
  • Monthly
  • Less often than monthly
Q4
Multiple Choice
In the last 30 days, which activities consumed the most of your working time? Select up to 3.
  • Project / feature work
  • Incident response / on-call
  • Maintenance / operations changes
  • CI/CD and deployments
  • Troubleshooting / bug fixing
  • Meetings / coordination
  • Documentation / runbooks
  • Repetitive manual tasks
Q5
Dropdown
In the last 30 days, approximately how many hours per week did you spend on repetitive manual tasks?
  • 0 hours
  • 1–3 hours
  • 4–7 hours
  • 8–12 hours
  • 13–20 hours
  • More than 20 hours
Q6
Multiple Choice
In the last 30 days, which were your main sources of toil? Select up to 5.
  • Noisy or flaky alerts
  • Manual deployments
  • Brittle CI/CD pipelines
  • Environment drift or config mismatch
  • Access or permissions requests
  • Manual change approvals
  • Capacity management chores
  • Ticket handoffs or coordination
  • Limited observability or telemetry gaps
  • Flaky tests
  • Rollback or roll-forward complexity
  • Data migrations or backfills
  • Tooling integrations or gaps
  • Other (please specify)
Q7
Ranking
Rank the following by how disruptive they are to your focused engineering time (1 = most disruptive).
Drag to order (top = most important)
  1. Noisy alerts / pages
  2. Manual deployments
  3. Access / permissions requests
  4. Environment setup / configuration
  5. Manual change approvals
  6. Capacity / infrastructure changes
Q8
Multiple Choice
Which tooling do you actively use to manage reliability and reduce toil? Select all that apply.
  • Alerting / Monitoring (e.g., Prometheus, Datadog)
  • Incident management (e.g., PagerDuty, Opsgenie)
  • Infrastructure as Code (e.g., Terraform, Pulumi)
  • Configuration management (e.g., Ansible, Chef)
  • CI/CD orchestration (e.g., Jenkins, GitHub Actions)
  • Feature flags / progressive delivery
  • SLO / Error budget tooling
  • Runbooks / ChatOps automation
  • Change management (e.g., ServiceNow)
  • Internal developer portal (e.g., Backstage)
  • Chaos / Resilience testing
  • None of the above
  • Other (please specify)
Q9
Opinion Scale
Overall, how automated are your common operations tasks today?
Range: 1 7
Min: Not at all automatedMid: NeutralMax: Fully automated
Q10
Opinion Scale
How effective are your current tools for monitoring and alerting?
Range: 1 7
Min: Not at all effectiveMid: NeutralMax: Extremely effective
Q11
Opinion Scale
How effective are your current tools for deployment and CI/CD?
Range: 1 7
Min: Not at all effectiveMid: NeutralMax: Extremely effective
Q12
Opinion Scale
How effective are your current tools for incident management and response?
Range: 1 7
Min: Not at all effectiveMid: NeutralMax: Extremely effective
Q13
Opinion Scale
How effective are your current tools for infrastructure provisioning and configuration?
Range: 1 7
Min: Not at all effectiveMid: NeutralMax: Extremely effective
Q14
Opinion Scale
How effective are your current tools for change management and approvals?
Range: 1 7
Min: Not at all effectiveMid: NeutralMax: Extremely effective
Q15
Dropdown
Approximately how many manual steps did you automate or remove from runbooks in the last 30 days?
  • 0
  • 1–5
  • 6–15
  • 16–30
  • 31+
Q16
Dropdown
Roughly how many incidents with user impact did your team experience in the last 30 days?
  • 0
  • 1–2
  • 3–5
  • 6–10
  • 11–20
  • 21+
  • Not sure / Don't track
Q17
Multiple Choice
Compared to 3 months ago, how has your median time to resolve incidents changed?
  • Improved (decreased)
  • About the same
  • Worsened (increased)
  • Not sure / Don't track
Q18
Multiple Choice
During your most significant incident in the last 30 days, what added the most toil?
  • Paging noise or alert confusion
  • Manual runbook steps
  • Access or permissions delays
  • Coordination or hand-off overhead
  • Rollback or roll-forward complexity
  • Limited data or observability gaps
  • Change approvals or governance delays
  • No significant incidents in the last 30 days
Q19
Long Text
What single tooling change would most reduce toil for your team?
Max chars
Q20
AI Interview
What are the biggest blockers to automating more of your operations work next quarter?
AI InterviewLength: 3Personality: [Object Object]Mode: Fast
Reference questions: 5
Q21
Long Text
Based on your responses in this survey, please share any additional thoughts or feelings about toil, reliability, or tooling that we didn't cover.
Max chars
Q22
Multiple Choice
How many years have you worked in this type of role?
  • 0–1
  • 2–4
  • 5–7
  • 8–10
  • 11+
Q23
Multiple Choice
Approximately how large is your organization?
  • 1–49 employees
  • 50–249
  • 250–999
  • 1,000–4,999
  • 5,000–19,999
  • 20,000+
Q24
Multiple Choice
Approximately how large is your SRE/Platform team?
  • 1
  • 2–5
  • 6–10
  • 11–20
  • 21+
Q25
Multiple Choice
Which region best describes your primary working time zone?
  • Americas
  • EMEA
  • APAC
  • Other / Multiple
Q26
Multiple Choice
What is your work location model?
  • Remote
  • Hybrid
  • Onsite
Q27
Chat Message
Thank you for completing this survey. Your input helps us track toil patterns and prioritize the right reliability tooling investments. Results will be shared in aggregate only.

Frequently Asked Questions

What is QuestionPunk?
QuestionPunk is a lightweight survey platform for live AI interviews you control. It's fast, flexible, and scalable—adapting every question in real time, moderating responses across languages, letting you steer prompts, models, and flows, and even generating surveys from a simple prompt. Get interview-grade insight with survey-level speed across qual and quant.
How do I create my first survey?
Sign up, then decide how you want to build: let the AI generate a survey from your prompt, pick a template, or start from scratch. Choose question types, set logic, and preview before sharing.
How can I share surveys with my team?
Send a project link so teammates can view and collaborate instantly.
Can the AI generate a survey from a prompt?
Yes. Provide a prompt and QuestionPunk drafts a survey you can tweak before sending.
How long does support typically take to reply?
We reply within 24 hours—often much sooner. Include key details in your message to help us assist you faster.
Can I export survey results?
Absolutely. Export results as CSV straight from the results page for quick data work.

Ready to Get Started?

Launch your survey in minutes with this pre-built template