Beta Release Readiness Assessment Survey
Collects structured beta tester feedback on feature usability, stability, and adoption intent to support data-driven go/no-go release decisions.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Overall, how well did the beta meet your needs during this testing period?
How easy or difficult was it to use the beta features you tried?
During the beta, did you experience any bugs, crashes, or errors?
- Yes
- No
- Not sure
The beta features were easy to learn and start using.
If these features were released next month, how likely would you be to use them regularly?
Based on your overall beta experience, what is your recommendation for release?
- Go — ready to release
- Go with minor fixes
- Hold — needs more polish
- No-Go — not ready for release
We'd like to explore your beta experience in a bit more depth. An AI moderator will ask you a couple of follow-up questions based on your feedback so far.
What is your primary role?
- Engineering
- Product Management
- Design/UX
- Data/Analytics
- IT/Operations
- Customer Support/Success
- Sales/Marketing
- Executive/Founder
- Other
Thank you for your feedback! Your responses will directly inform our release decision. We appreciate your time and contribution to making our product better.
Which of the following beta features did you use during the testing period? (Select all that apply.)
- Feature A — Smart Filters
- Feature B — Real-time Sync
- Feature C — Bulk Edit
- Feature D — Dark Mode
- I'm not sure
- I didn't use any beta features
How well did the beta features integrate with your existing workflow?
Please describe the most impactful issue you encountered, including steps to reproduce and any error messages if possible.
It was clear where to find and access the beta features.
Which best describes your plan to switch from your current workflow to these features?
- Already switched during beta
- Switch immediately at launch
- Switch within 3 months
- Maybe after more improvements
- Not likely to switch
What is the primary reason you recommend holding or not releasing at this time?
- Usability or learning curve
- Performance or stability issues
- Missing key capability
- Poor fit with my workflow
- Integration or compatibility gaps
- Security, privacy, or compliance concerns
- Quality issues (bugs)
- Other
Based on your responses in this survey, is there anything else you would like to share about your beta experience?
How long have you been using our product?
- Less than 1 month
- 1–6 months
- 6–12 months
- 1–3 years
- More than 3 years
What best explains why you did not use any of the beta features?
- I did not notice the new features
- I lacked time to try them
- Access or permissions were unclear
- The value was not clear to me
- Not relevant to my work
- Technical setup issues
- Other
Based on the features you used, rank them by value to your work (top = most valuable).
- Feature A — Smart Filters
- Feature B — Real-time Sync
- Feature C — Bulk Edit
- Feature D — Dark Mode
How would you rate the overall performance (speed and responsiveness) of the beta features?
The beta features behaved as I expected them to.
What one change or improvement before launch would help most?
Approximately how many employees are at your organization?
- 1–10
- 11–50
- 51–200
- 201–1,000
- 1,001–5,000
- 5,001+
Which industry best describes your organization?
- Technology
- Finance
- Healthcare
- Education
- Retail/E-commerce
- Manufacturing
- Government/Public Sector
- Nonprofit
- Other
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 standard opinion-scale and multiple-choice questions on feature usage, bugs, and performance with a dedicated AI follow-up interview that lets testers explain issues in their own words
- Uses ranking and open-text questions to surface which features matter most and what one change would most improve the release, going beyond static satisfaction scores
- Segments respondents by role, tenure, org size, and industry so go/no-go recommendations can be sliced by tester profile
- Every response can be automatically scored for quality and rolled into an auto-generated report, reducing manual analysis of open-ended bug reports
Jotform
Beta Product Feedback Form TemplateA fielding-ready static form for collecting beta feedback, built on Jotform's drag-and-drop form builder. It covers basic usability and satisfaction questions but is not conversational or adaptive. Good for quick deployment, less suited to deep qualitative follow-up.
잘하는 점
- Easy drag-and-drop customization typical of Jotform
- Wide integration and export options (PDF, spreadsheets) common to Jotform forms
- Quick to deploy for simple beta feedback collection
아쉬운 점
- No adaptive AI follow-up questioning based on individual answers
- No voice AI interview option for testers who prefer speaking over typing
- No automated per-response quality scoring or transparent AI prompt methodology
SurveySparrow
Free Beta Testing Survey Template | Collect Feedback From Beta TestersA conversational, chat-style survey template aimed at beta testers, reflecting SurveySparrow's signature one-question-at-a-time format. It's a ready-to-use template but relies on pre-set question paths rather than dynamic probing. Works well for recurring, lightweight pulse-style beta checks.
잘하는 점
- Conversational chat-like interface that can improve completion rates
- Built for recurring survey cycles, useful for tracking beta sentiment over time
- Mobile-friendly design typical of SurveySparrow
아쉬운 점
- No AI-driven adaptive follow-up interviews beyond scripted branching logic
- No voice-based AI interview capability
- No automated quality scoring of individual responses or published prompt transparency
Typeform
Beta Product Feedback Survey TemplateA polished, one-question-at-a-time template consistent with Typeform's design-forward survey style, ready to field for beta feedback. It emphasizes visual appeal and simple logic jumps rather than deep qualitative exploration. Best suited to shorter feedback loops rather than structured go/no-go analysis.
잘하는 점
- Highly polished, visually engaging question flow typical of Typeform
- Logic-jump branching for basic personalization of question paths
- Strong mobile and embed experience
아쉬운 점
- No adaptive AI moderator to probe deeper into open-ended bug or usability reports
- No voice AI interview mode
- No automated per-response scoring or auto-generated go/no-go report
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.