모든 템플릿

Cross-Functional Go/No-Go Launch Readiness Assessment

A structured stakeholder assessment that measures launch confidence, track-level readiness, risk prioritization, and operational preparedness to support data-driven go/no-go decisions.

샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 30개 · 약 13분
Q01
메시지

Welcome to the Launch Readiness Assessment. This survey collects cross-functional perspectives to inform an upcoming go/no-go decision. Your responses will be aggregated and reported anonymously—no individual answers will be attributed. There are no right or wrong answers; we want your honest assessment based on current evidence. The survey takes approximately 8–10 minutes. Your participation is voluntary and you may exit at any time.

Q02
객관식

Which function(s) are you representing in this decision? (Select all that apply)

  • Product Management
  • Engineering
  • Design/UX
  • QA/Testing
  • Data/Analytics
  • Security/Privacy
  • Legal/Compliance
  • Sales
  • Marketing
  • Customer Support/Success
  • Finance
  • DevOps/SRE
  • Other (please specify)
Q03
의견 척도

How confident are you that we can successfully launch on the planned date?

척도: 17
최소:Not at all confident최대:Extremely confident
Q04
메시지

The following questions ask you to rate readiness across key launch tracks. Rate only the areas you have visibility into.

Q05
의견 척도

How would you rate the overall risk level for this launch, based on the current state?

척도: 17
최소:Very low risk최대:Very high risk
Q06
객관식

Which of the following go-live checks are complete? (Select all that apply)

  • Runbook documented
  • Monitoring/alerts configured
  • Rollback plan tested
  • On-call coverage scheduled
  • Communication plan approved
  • Support documentation ready
  • None of the above
Q07
장문형

Is there anything else that could change your recommendation in the next week?

Q08
드롭다운

What is your primary region/time zone?

  • Americas
  • EMEA
  • APAC
  • Other
Q09
메시지

Thank you for your input. Your responses will be aggregated across all stakeholders to inform the go/no-go decision. Results will be shared at the upcoming decision meeting.

Q10
드롭다운

What stage is the initiative currently in?

  • Discovery
  • Alpha
  • Beta
  • General Availability (GA)
  • Hotfix/Patch
  • Not sure
Q11
장문형

What blockers, unknowns, or concerns—if any—should be addressed before launch?

Q12
의견 척도

How ready is the product scope and requirements definition for launch?

척도: 15
최소:Not ready최대:Fully ready
Q13
순위 매기기

Rank the following risks to launch readiness from highest to lowest concern.

  1. Timeline slippage
  2. Quality defects
  3. Scope creep
  4. External dependency
  5. Limited capacity/resources
  6. Compliance or privacy risk
드래그하여 순위 지정
Q14
객관식

Are day-one success metrics defined and instrumented?

  • Yes, fully defined and instrumented
  • Partially defined or not fully instrumented
  • No
  • Not applicable
Q15
AI 인터뷰

We'd like to understand your perspective on launch readiness in more depth. Please share your thoughts and our AI moderator will ask brief follow-up questions.

Q16
드롭다운

What is your current seniority level?

  • Individual contributor
  • Manager
  • Director
  • VP/Executive
  • Other
Q17
객관식

Have you participated in prior launches of similar scope?

  • Yes
  • No
Q18
객관식

What is your current recommendation?

  • Go as planned
  • Go with minor conditions
  • Delay to address issues
  • No go (do not launch)
  • Need more data
Q19
의견 척도

How ready is the engineering implementation and code completeness for launch?

척도: 15
최소:Not ready최대:Fully ready
Q20
객관식

Which dependencies could impact the launch if unresolved? (Select all that apply)

  • Backend service/API
  • Third-party vendor readiness/change
  • Security review / pen test
  • Legal review
  • App store approval (if applicable)
  • Data migration
  • Localization/translation
  • Support content/training
  • Sales enablement
  • Analytics instrumentation
  • Other (please specify)
Q21
드롭다운

What rollout strategy do you recommend for this launch?

  • Big bang
  • Phased rollout
  • Feature flag/toggle
  • A/B experiment
  • Pilot/allowlist
  • Not decided
Q22
드롭다운

How long have you been with the company?

  • Under 3 months
  • 3–12 months
  • 1–3 years
  • 3–5 years
  • 5+ years
Q23
장문형

What specific data, tests, or evidence would help you make a clearer recommendation?

Q24
의견 척도

How ready is QA and testing coverage for launch?

척도: 15
최소:Not ready최대:Fully ready
Q25
장문형

What are the most important mitigation steps we should take before launch?

Q26
장문형

What team or organization do you belong to? (Optional)

Q27
의견 척도

How ready is the security and privacy review for launch?

척도: 15
최소:Not ready최대:Fully ready
Q28
순위 매기기

Rank the following areas by where the next two weeks of effort should be focused, from most to least important.

  1. Product scope clarification
  2. Engineering implementation
  3. QA/Testing
  4. Security/Privacy
  5. Observability/Telemetry
  6. Support/Customer Success readiness
  7. Legal/Compliance
  8. Release packaging and documentation
드래그하여 순위 지정
Q29
의견 척도

How ready is the operations and infrastructure setup for launch?

척도: 15
최소:Not ready최대:Fully ready
Q30
의견 척도

How ready is customer support and documentation for launch?

척도: 15
최소:Not ready최대:Fully ready

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • Combines a structured go/no-go recommendation and confidence rating with track-by-track readiness scoring (scope, engineering, QA, security, ops, support) so leadership sees both the verdict and the underlying evidence
  • Includes risk and effort ranking exercises plus dependency and go-live-checklist multiple-choice questions to surface blockers and prioritize the final two weeks of work
  • Adds an AI follow-up interview that lets each stakeholder elaborate on their reasoning in their own words, going beyond a fixed rating grid
  • Captures respondent context (function, seniority, tenure, region) so readiness and risk scores can be segmented across the organization, and closes with a clear aggregation message for transparency

Jotform

Operational Readiness Assessment Template

A static form template for assessing operational readiness, likely covering standard checklist-style categories rather than a multi-track go/no-go decision framework. It's a fielding-ready form but built for general operational sign-off rather than cross-functional launch decisions specifically. Customization is possible but the structure isn't tailored to risk ranking or stakeholder recommendation capture.

잘하는 점

  • Fielding-ready template usable immediately in Jotform's form builder
  • Broad focus on operational readiness that could apply across many use cases
  • Likely integrates with Jotform's existing form logic and notification tools

아쉬운 점

  • Static question set with no adaptive follow-up probing into open-ended concerns
  • No mechanism to capture stakeholder reasoning beyond fixed fields
  • No transparent, publishable methodology for how responses are scored or synthesized

Typeform

Product Readiness Assessment by Smartbug Media

A Typeform template built by an agency partner to gauge product readiness, presumably using Typeform's conversational single-question flow. It appears oriented around product-level readiness rather than a full cross-functional go/no-go framework spanning engineering, QA, security, ops, and support. Good for quick pulse-checks but not designed as a structured decision-support instrument with risk prioritization.

잘하는 점

  • Polished, conversational question flow typical of Typeform's UI
  • Quick to deploy for a general product-readiness pulse check
  • Backed by an agency's applied template design

아쉬운 점

  • No adaptive AI interviewing to probe deeper on flagged risks or concerns
  • No structured risk-ranking or dependency-mapping questions evident
  • No automated per-response quality scoring or auto-generated readiness report

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