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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
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)
How confident are you that we can successfully launch on the planned date?
The following questions ask you to rate readiness across key launch tracks. Rate only the areas you have visibility into.
How would you rate the overall risk level for this launch, based on the current state?
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
Is there anything else that could change your recommendation in the next week?
What is your primary region/time zone?
- Americas
- EMEA
- APAC
- Other
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.
What stage is the initiative currently in?
- Discovery
- Alpha
- Beta
- General Availability (GA)
- Hotfix/Patch
- Not sure
What blockers, unknowns, or concerns—if any—should be addressed before launch?
How ready is the product scope and requirements definition for launch?
Rank the following risks to launch readiness from highest to lowest concern.
- Timeline slippage
- Quality defects
- Scope creep
- External dependency
- Limited capacity/resources
- Compliance or privacy risk
Are day-one success metrics defined and instrumented?
- Yes, fully defined and instrumented
- Partially defined or not fully instrumented
- No
- Not applicable
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.
What is your current seniority level?
- Individual contributor
- Manager
- Director
- VP/Executive
- Other
Have you participated in prior launches of similar scope?
- Yes
- No
What is your current recommendation?
- Go as planned
- Go with minor conditions
- Delay to address issues
- No go (do not launch)
- Need more data
How ready is the engineering implementation and code completeness for launch?
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)
What rollout strategy do you recommend for this launch?
- Big bang
- Phased rollout
- Feature flag/toggle
- A/B experiment
- Pilot/allowlist
- Not decided
How long have you been with the company?
- Under 3 months
- 3–12 months
- 1–3 years
- 3–5 years
- 5+ years
What specific data, tests, or evidence would help you make a clearer recommendation?
How ready is QA and testing coverage for launch?
What are the most important mitigation steps we should take before launch?
What team or organization do you belong to? (Optional)
How ready is the security and privacy review for launch?
Rank the following areas by where the next two weeks of effort should be focused, from most to least important.
- Product scope clarification
- Engineering implementation
- QA/Testing
- Security/Privacy
- Observability/Telemetry
- Support/Customer Success readiness
- Legal/Compliance
- Release packaging and documentation
How ready is the operations and infrastructure setup for launch?
How ready is customer support and documentation for launch?
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- 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 TemplateA 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.
What it does well
- 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
Where it falls short
- 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 MediaA 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.
What it does well
- 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
Where it falls short
- 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
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