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Operations & Data

Engineering Cost Awareness & Trade-Off Assessment

Measures cost visibility, ownership clarity, and trade-off decision-making across engineering teams. Designed for engineering leaders seeking to benchmark FinOps maturity and identify tooling or process gaps.

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23問・約10分
Q01
メッセージ

Welcome to the Engineering Cost Awareness & Trade-Off Assessment. This survey explores how engineering teams access, interpret, and act on cost information when making technical decisions. Your responses will help identify opportunities to improve cost visibility, ownership, and decision-making practices. • Participation is voluntary and you may stop at any time. • There are no right or wrong answers — we are interested in your honest perspective. • All responses are confidential and will be reported in aggregate only. • Estimated completion time: 8–10 minutes. Please proceed to begin.

Q02
選択式

Which role best describes your current position?

  • Individual contributor / Engineer
  • Tech lead / Staff+
  • Engineering manager / Director
  • Product manager
  • Other
Q03
選択式

Do you have access to cost or usage data relevant to your work (e.g., cloud spend, build minutes)?

  • Yes, directly
  • Yes, via someone else
  • No
  • Not sure
Q04
オピニオンスケール

In the past quarter, how clear was ownership for cost-impacting decisions on your team?

スケール: 1 – 7
最小:Not at all clear最大:Extremely clear
Q05
自由回答(長文)

Briefly describe a recent trade-off (within the last 3 months) where cost influenced scope, speed, or quality. What drove the decision?

Q06
選択式

Which of the following practices or tools currently support cost-aware engineering on your team? Select all that apply.

  • Resource tagging/labeling standards
  • Budgets and cost anomaly alerts
  • Cost dashboards tied to services
  • Cost per unit metric in CI/CD
  • PR or design templates include cost impact
  • Postmortems include cost analysis
  • Architecture reviews include cost
  • None of the above
  • Other
Q07
自由回答(長文)

What is one change that would make trade-off decisions easier on your team?

Q08
選択式

How many years of professional software experience do you have?

  • 0–2
  • 3–5
  • 6–10
  • 11–15
  • 16+
  • Prefer not to say
Q09
メッセージ

Thank you for completing this survey. Your input will help improve cost-aware engineering practices across the organization. Results will be shared in aggregate to inform tooling, process, and cultural improvements.

Q10
選択式

What type of team are you currently part of?

  • Backend
  • Frontend
  • Mobile
  • Platform/Infrastructure
  • SRE/DevOps
  • Data/ML
  • QA/Testing
  • Full-stack
  • Cross-functional product team
  • Other
Q11
選択式

How often do you personally review cost or usage data?

  • Daily
  • A few times per week
  • Weekly
  • A few times per month
  • Monthly
  • Quarterly or less
  • Never
Q12
選択式

On your team, who is primarily accountable for engineering decisions with material cost impact?

  • Individual engineers
  • Tech leads
  • Engineering managers
  • Product managers
  • Shared responsibility
  • No clear owner
  • Other
Q13
ランク付け

When making trade-offs, rank the following dimensions from most to least important in your decision-making.

  1. Cost efficiency
  2. Development speed
  3. Code quality and reliability
  4. Feature scope
  5. Scalability and performance
ドラッグして順位を付ける
Q14
自由回答(長文)

If you could add one capability to improve cost visibility or accountability, what would it be?

Q15
AIインタビュー

Based on your responses in this survey, we'd like to explore your experiences with engineering cost trade-offs in a bit more depth.

Q16
選択式

Approximately how large is your organization (total employees)?

  • 1–10
  • 11–50
  • 51–200
  • 201–1,000
  • 1,001–5,000
  • 5,001–10,000
  • 10,001+
  • Prefer not to say
Q17
オピニオンスケール

How confident are you in your ability to interpret cost signals to guide engineering decisions?

スケール: 1 – 7
最小:Not at all confident最大:Extremely confident
Q18
オピニオンスケール

In the past quarter, decisions involving cost were made quickly enough for our team's needs.

スケール: 1 – 7
最小:Strongly disagree最大:Strongly agree
Q19
プルダウン

What is your primary industry?

  • Software / SaaS
  • Finance / Fintech
  • E-commerce / Retail
  • Media / Entertainment
  • Gaming
  • Healthcare / Life sciences
  • Education
  • Government / Nonprofit
  • Other
  • Prefer not to say
Q20
選択式

Which sources of cost or usage signals do you use today? Select all that apply.

  • Cloud provider billing (e.g., AWS, Azure, GCP)
  • FinOps dashboards or reports
  • Budgets/alerts and anomaly notifications
  • Build/CI minutes or compute usage
  • Product usage analytics tied to cost
  • Third-party SaaS invoices
  • Internal chargeback/showback
  • None of the above
  • Other
Q21
選択式

What is your primary computing environment?

  • AWS
  • Azure
  • Google Cloud
  • Multiple clouds
  • On-premises / Private cloud
  • Not applicable
  • Other
Q22
選択式

What makes cost data difficult to access or act on in your context? Select all that apply.

  • Data not available for my scope
  • Hard to find or scattered
  • Not trusted or inconsistent
  • Too granular to be actionable
  • Too high-level to inform decisions
  • Limited time or competing priorities
  • Tooling gaps or permissions
  • Organization does not prioritize it
  • Not relevant to my current work
  • No clear owner to ask
  • None of the above
  • Other
Q23
選択式

Where are you primarily located?

  • Africa
  • Asia
  • Europe
  • Latin America & Caribbean
  • Middle East
  • North America
  • Oceania
  • Prefer not to say

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 a dedicated AI follow-up interview that adaptively probes on the specific trade-off example a respondent describes in the open-text question, rather than stopping at static answers
  • Combines quantitative signals (opinion-scale confidence and ownership-clarity ratings, ranking of trade-off priorities) with qualitative depth (three open-text questions on recent trade-offs, missing capabilities, and process friction)
  • Captures role, team type, and access-to-data context up front so cost-visibility and accountability responses can be segmented by who actually owns the decisions
  • Closes with organizational context (experience, org size, industry, environment, location) enabling FinOps maturity benchmarking across segments, something a static form can't adaptively contextualize

よくあるご質問

「Engineering Cost Awareness & Trade-Off Assessment」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23問含まれており、最初の設問は次のとおりです:「Welcome to the Engineering Cost Awareness & Trade-Off Assessment. This survey explores how engineering teams access, in…」・「Which role best describes your current position?」・「Do you have access to cost or usage data relevant to your work (e.g., cloud spend, build minutes)?」。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、23問を約10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。

このテンプレートは無料で使えますか?

はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。

公開の準備はできましたか?

このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。

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