모든 템플릿

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.

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질문 27개 · 약 12분
Q01
메시지

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 12 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.

Q02
객관식

What is your primary role?

  • SRE / Production Engineer
  • Platform / Infrastructure Engineer
  • Software Engineer
  • DevOps Engineer
  • Engineering Manager
  • Other (please specify)
Q03
객관식

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
Q04
객관식

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)
Q05
드롭다운

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
Q06
장문형

What single tooling change would most reduce toil for your team?

Q07
객관식

How many years have you worked in this type of role?

  • 0–1
  • 2–4
  • 5–7
  • 8–10
  • 11+
Q08
메시지

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.

Q09
객관식

How often do you take on-call rotations?

  • Never
  • Ad hoc / occasionally
  • Weekly
  • Every 2 weeks
  • Monthly
  • Less often than monthly
Q10
드롭다운

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
Q11
의견 척도

Overall, how automated are your common operations tasks today?

척도: 17
최소:Not at all automated최대:Fully automated
Q12
객관식

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
Q13
AI 인터뷰

What are the biggest blockers to automating more of your operations work next quarter?

Q14
객관식

Approximately how large is your organization?

  • 1–49 employees
  • 50–249
  • 250–999
  • 1,000–4,999
  • 5,000–19,999
  • 20,000+
Q15
객관식

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)
Q16
의견 척도

How effective are your current tools for monitoring and alerting?

척도: 17
최소:Not at all effective최대:Extremely effective
Q17
객관식

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
Q18
장문형

Based on your responses in this survey, please share any additional thoughts or feelings about toil, reliability, or tooling that we didn't cover.

Q19
객관식

Approximately how large is your SRE/Platform team?

  • 1
  • 2–5
  • 6–10
  • 11–20
  • 21+
Q20
순위 매기기

Rank the following by how disruptive they are to your focused engineering time (1 = most disruptive).

  1. Noisy alerts / pages
  2. Manual deployments
  3. Access / permissions requests
  4. Environment setup / configuration
  5. Manual change approvals
  6. Capacity / infrastructure changes
드래그하여 순위 지정
Q21
의견 척도

How effective are your current tools for deployment and CI/CD?

척도: 17
최소:Not at all effective최대:Extremely effective
Q22
객관식

Which region best describes your primary working time zone?

  • Americas
  • EMEA
  • APAC
  • Other / Multiple
Q23
의견 척도

How effective are your current tools for incident management and response?

척도: 17
최소:Not at all effective최대:Extremely effective
Q24
객관식

What is your work location model?

  • Remote
  • Hybrid
  • Onsite
Q25
의견 척도

How effective are your current tools for infrastructure provisioning and configuration?

척도: 17
최소:Not at all effective최대:Extremely effective
Q26
의견 척도

How effective are your current tools for change management and approvals?

척도: 17
최소:Not at all effective최대:Extremely effective
Q27
드롭다운

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+

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차별화 포인트

  • Includes an AI follow-up interview question that adaptively probes on operational blockers, something no static form can replicate
  • Covers toil sources, automation maturity across six distinct tool categories (monitoring, CI/CD, incident response, provisioning, change management), and incident trend data in one structured flow
  • Uses ranking and multi-select toil-source questions plus open-text fields to capture both quantifiable patterns and qualitative nuance
  • Closes with role, org size, team size, region, and work-model demographics so results can be benchmarked and segmented

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