すべてのテンプレート
Developer & Engineering

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.

設問の例

テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。

全27問・約12分
Q01
メッセージ

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
選択式

What is your primary role?

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

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
選択式

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
プルダウン

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
自由回答(長文)

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

Q07
選択式

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

  • 0–1
  • 2–4
  • 5–7
  • 8–10
  • 11+
Q08
メッセージ

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
選択式

How often do you take on-call rotations?

  • Never
  • Ad hoc / occasionally
  • Weekly
  • Every 2 weeks
  • Monthly
  • Less often than monthly
Q10
プルダウン

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
オピニオンスケール

Overall, how automated are your common operations tasks today?

スケール: 1 – 7
最小:Not at all automated最大:Fully automated
Q12
選択式

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インタビュー

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

Q14
選択式

Approximately how large is your organization?

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

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
オピニオンスケール

How effective are your current tools for monitoring and alerting?

スケール: 1 – 7
最小:Not at all effective最大:Extremely effective
Q17
選択式

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
自由回答(長文)

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
選択式

Approximately how large is your SRE/Platform team?

  • 1
  • 2–5
  • 6–10
  • 11–20
  • 21+
Q20
ランク付け

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
ドラッグして順位を付ける
Q21
オピニオンスケール

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

スケール: 1 – 7
最小:Not at all effective最大:Extremely effective
Q22
選択式

Which region best describes your primary working time zone?

  • Americas
  • EMEA
  • APAC
  • Other / Multiple
Q23
オピニオンスケール

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

スケール: 1 – 7
最小:Not at all effective最大:Extremely effective
Q24
選択式

What is your work location model?

  • Remote
  • Hybrid
  • Onsite
Q25
オピニオンスケール

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

スケール: 1 – 7
最小:Not at all effective最大:Extremely effective
Q26
オピニオンスケール

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

スケール: 1 – 7
最小:Not at all effective最大:Extremely effective
Q27
プルダウン

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+

含まれる機能

  • AIによる深掘り

    自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。

  • 注意確認設問

    急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。

  • AIが作成する設問文

    文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。

  • 自動レポート

    回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。

このテンプレートを選ぶ理由

このテンプレートの設計意図をご紹介します。ほかのアンケートツールには、直接比較できるテンプレートが見つかりませんでした。

ここが違う

  • 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

よくあるご質問

「SRE/DevOps Toil Measurement & Automation Gap Analysis」テンプレートにはどのような設問が含まれていますか?

すぐに使える設問が27問含まれており、最初の設問は次のとおりです:「Welcome to the SRE/DevOps Toil & Automation Survey. This survey asks about your experience with operational toil, automa…」・「What is your primary role?」・「In the last 30 days, which activities consumed the most of your working time? Select up to 3.」。すべての設問は上でプレビューでき、自由に編集できます。

このアンケートの回答にはどのくらい時間がかかりますか?

回答者は通常、27問を約12分で回答し終えます。

テンプレートは編集できますか?

はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。

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