Developer & Engineering

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

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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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