모든 템플릿

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

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질문 25개 · 약 11분
Q01
메시지

Welcome, and thank you for participating in this beta feedback survey. This should take about 11 minutes. Your responses are confidential and will be reported only in aggregate to inform our release decision. There are no right or wrong answers—we value your honest experience. Participation is voluntary, and you may stop at any time.

Q02
의견 척도

Overall, how well did the beta meet your needs during this testing period?

척도: 17
최소:Did not meet my needs at all최대:Fully met my needs
Q03
의견 척도

How easy or difficult was it to use the beta features you tried?

척도: 17
최소:Very difficult최대:Very easy
Q04
객관식

During the beta, did you experience any bugs, crashes, or errors?

  • Yes
  • No
  • Not sure
Q05
의견 척도

The beta features were easy to learn and start using.

척도: 17
최소:Strongly disagree최대:Strongly agree
Q06
의견 척도

If these features were released next month, how likely would you be to use them regularly?

척도: 17
최소:Not at all likely최대:Extremely likely
Q07
객관식

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
Q08
AI 인터뷰

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.

Q09
객관식

What is your primary role?

  • Engineering
  • Product Management
  • Design/UX
  • Data/Analytics
  • IT/Operations
  • Customer Support/Success
  • Sales/Marketing
  • Executive/Founder
  • Other
Q10
메시지

Thank you for your feedback! Your responses will directly inform our release decision. We appreciate your time and contribution to making our product better.

Q11
객관식

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
Q12
의견 척도

How well did the beta features integrate with your existing workflow?

척도: 17
최소:Very poorly최대:Very well
Q13
장문형

Please describe the most impactful issue you encountered, including steps to reproduce and any error messages if possible.

Q14
의견 척도

It was clear where to find and access the beta features.

척도: 17
최소:Strongly disagree최대:Strongly agree
Q15
객관식

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
Q16
객관식

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
Q17
장문형

Based on your responses in this survey, is there anything else you would like to share about your beta experience?

Q18
객관식

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
Q19
객관식

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
Q20
순위 매기기

Based on the features you used, rank them by value to your work (top = most valuable).

  1. Feature A — Smart Filters
  2. Feature B — Real-time Sync
  3. Feature C — Bulk Edit
  4. Feature D — Dark Mode
드래그하여 순위 지정
Q21
의견 척도

How would you rate the overall performance (speed and responsiveness) of the beta features?

척도: 17
최소:Very poor최대:Excellent
Q22
의견 척도

The beta features behaved as I expected them to.

척도: 17
최소:Strongly disagree최대:Strongly agree
Q23
장문형

What one change or improvement before launch would help most?

Q24
객관식

Approximately how many employees are at your organization?

  • 1–10
  • 11–50
  • 51–200
  • 201–1,000
  • 1,001–5,000
  • 5,001+
Q25
드롭다운

Which industry best describes your organization?

  • Technology
  • Finance
  • Healthcare
  • Education
  • Retail/E-commerce
  • Manufacturing
  • Government/Public Sector
  • Nonprofit
  • Other

포함된 기능

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    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

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

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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 Template

A 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 Testers

A 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 Template

A 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

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