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Software Update Rollout Feedback Survey

Captures how a specific software release landed with users — installation friction, stability, performance, and which features actually helped — for product and engineering teams shipping regular updates. The AI follow-up interview reconstructs exactly what broke or slowed someone down instead of settling for a vague 'it had bugs.'

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샘플 질문

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

질문 13개 · 약 7분
Q01
메시지

Thanks for trying our latest update! We'd like to hear how the update process and the changes themselves worked for you. Your responses are completely confidential and anonymized. This should take about 5 minutes, and your honest feedback shapes what we fix next.

Q02
객관식필수

Have you installed the most recent software update (Replace with version number, e.g. v3.4)?

  • Yes, installed it
  • No, not yet
  • No, wasn't aware of it
Q03
의견 척도필수

Overall, how satisfied are you with this update?

척도: 1 – 7
최소:Very dissatisfied최대:Very satisfied
Q04
매트릭스필수

How would you rate the update on each of the following?

5개 행 × 5개 열
  • Stability (crashes/freezes)
  • Performance/speed
  • New features
  • Bug fixes
  • Clarity of release notes/changelog
열: Poor · Below average · Average · Good · Excellent
Q05
객관식

In the week since installing, which of these have you run into? Select all that apply.

  • Crashes or freezes
  • Slower performance than before
  • A feature stopped working as expected
  • Confusing new UI or navigation
  • Compatibility issues with other tools/plugins
  • Data or settings loss
Q06
최선·최악 선택형(MaxDiff)필수

For our next update, which of these should we prioritize? Pick the most and least important each round.

  • Faster performance
  • Fewer bugs/more stability
  • New features
  • Better user interface/design
  • Stronger security
  • Backward compatibility
  • Clearer release notes
  • Better in-app support
세트별 최선·최악 선택최선:Most important to me최악:Least important to me
Q07
평점 척도필수

How easy was the update installation process itself?

범위: 1 – 5
최소:Very difficult최대:Very easy
Q08
AI 인터뷰

If the respondent reported any bugs, crashes, slowdowns, or workflow disruptions, reconstruct exactly what they were doing when it happened, what they expected versus what occurred, and whether they found a workaround or gave up. If they had no issues, probe which specific new feature or fix they've actually used and whether it changed how they work. Anchor everything on concrete recent behavior, not general impressions.

Q09
의견 척도필수

How likely are you to recommend our software to a colleague based on this update?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q10
장문형

Anything else about this update — good or bad — you want the team to know?

Q11
객관식

Which best describes your primary role?

  • Individual contributor / end user
  • Team lead / manager
  • IT / systems administrator
  • Developer / engineer
  • Other
  • Prefer not to say
Q12
객관식

How long have you been using this software?

  • Less than 3 months
  • 3-12 months
  • 1-3 years
  • More than 3 years
  • Prefer not to say
Q13
메시지

Thank you for the detailed feedback! We'll use this to prioritize fixes and features for the next release cycle — no more action needed from you.

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

  • Includes an AI follow-up interview that automatically probes any reported bugs, crashes, slowdowns, or workflow disruptions to reconstruct exactly what happened instead of stopping at a vague complaint
  • Combines structured metrics (satisfaction scale, matrix ratings, installation ease rating, NPS-style recommend question) with a max-diff prioritization question so engineering teams get both quantified signal and ranked next steps
  • Segments respondents by role and tenure with the software, so product teams can see how the update landed differently across user types
  • Opens and closes with contextual chat messages that frame the ask and thank respondents, keeping the flow conversational rather than a cold form

SurveySparrow

Software Update Feedback Form Template

A ready-to-field template built in SurveySparrow's conversational form style, aimed at capturing reaction to a specific software update. It covers the same general topic as ours but relies on fixed questions rather than any dynamic probing when a respondent mentions a problem.

잘하는 점

  • Conversational, one-question-at-a-time form style that reduces drop-off
  • Purpose-built for software update feedback rather than generic feedback
  • Likely quick to deploy and customize within SurveySparrow's editor

아쉬운 점

  • No adaptive AI follow-up to dig into what specifically broke or slowed a user down — respondents are limited to whatever fixed questions are asked
  • No voice interview option or automated per-response quality scoring
  • No transparent, published methodology for how questions are scored or interpreted

Typeform

Software Update Feedback Form Template

Typeform's template applies its signature clean, conversational single-question UI to software update feedback. It's a static template meant to be filled in and customized, not an interview that adapts to what a respondent says.

잘하는 점

  • Polished, distraction-free question flow known for higher completion rates
  • Easy visual customization to match branding
  • Simple to set up for teams wanting a quick update-feedback form

아쉬운 점

  • No mechanism to automatically follow up on vague answers like 'it had bugs' — logic branching is manual, not AI-driven
  • No voice AI interview or screen-share task capability
  • No automated quality scoring of individual responses

SurveyMonkey

Software And App Customer Feedback

This is a broader software/app feedback and NPS template rather than one scoped specifically to a single update rollout, but it's a comparable ready-to-use survey for gauging user sentiment after a release. It leans on standard multiple-choice and NPS question types.

잘하는 점

  • Backed by SurveyMonkey's established benchmarking and NPS methodology
  • Broadly applicable to ongoing app/software feedback programs, not just one-off updates
  • Simple to deploy at scale with SurveyMonkey's distribution tools

아쉬운 점

  • Generic software/app feedback focus rather than update-specific probing, so it won't reconstruct install friction or specific bugs in detail
  • No adaptive AI interview or voice-based follow-up to clarify open-ended complaints
  • No transparent per-response quality scoring or published prompt methodology

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