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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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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

13 questions · ~7 min
Q01
Message

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

Q02
Multiple ChoiceRequired

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
Opinion ScaleRequired

Overall, how satisfied are you with this update?

Scale: 1 – 7
Min:Very dissatisfiedMax:Very satisfied
Q04
MatrixRequired

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

5 rows × 5 columns
  • Stability (crashes/freezes)
  • Performance/speed
  • New features
  • Bug fixes
  • Clarity of release notes/changelog
Columns: Poor · Below average · Average · Good · Excellent
Q05
Multiple Choice

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
Best–Worst Trade-off (MaxDiff)Required

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
Pick best & worst per setBest:Most important to meWorst:Least important to me
Q07
Rating ScaleRequired

How easy was the update installation process itself?

Range: 1 – 5
Min:Very difficultMax:Very easy
Q08
AI Interview

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
Opinion ScaleRequired

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

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q10
Long Text

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

Q11
Multiple Choice

Which best describes your primary role?

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

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
Message

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.

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

  • 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.

What it does well

  • 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

Where it falls short

  • 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.

What it does well

  • 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

Where it falls short

  • 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.

What it does well

  • 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

Where it falls short

  • 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

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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