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AI Disruption Sentiment Pulse for Transforming Teams

A quick pulse for teams navigating AI-driven change — measuring sentiment, trust in leadership communication, skill-confidence, and the support employees actually want next. An AI follow-up interview digs into the real story behind each person's sentiment score, surfacing specifics a scale alone can't capture.

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Sample questions

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

12 questions · ~7 min
Q01
Message

Thanks for taking a few minutes on this one. We're checking in on how AI-driven changes are landing with the team so we can support people better. Totally honest answers help most — nothing here is tracked back to performance. About 5 minutes.

Q02
Opinion ScaleRequired

Overall, how do you feel about the AI-related changes happening on your team right now?

Scale: 1 – 10
Min:Very negativeMax:Very positive
Q03
Multiple ChoiceRequired

Which of these have you personally experienced in the last 3 months?

  • New AI tools added to my workflow
  • Some of my tasks automated away
  • My team restructured because of AI adoption
  • New AI-related skills expected of me
  • No noticeable change yet
Q04
MatrixRequired

How much do you agree with each statement about AI's impact on your work?

5 rows × 5 columns
  • AI-driven changes make my day-to-day job more efficient
  • I trust leadership's communication about upcoming AI changes
  • My core skills feel less relevant because of AI tools
  • I have enough time to learn the new AI tools introduced this year
  • I feel confident my role will still exist in two years
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
Rating ScaleRequired

How confident are you in your ability to adapt your skills to the AI changes happening on your team?

Range: 1 – 5
Min:Not at all confidentMax:Extremely confident
Q06
Multiple ChoiceRequired

In the last 30 days, how often have you personally used an AI tool (e.g., copilot, chatbot, generative AI feature) as part of your job?

  • Daily
  • A few times a week
  • A few times a month
  • Once or rarely
  • Not at all
Q07
Best–Worst Trade-off (MaxDiff)Required

Which forms of support would help you most right now as AI changes roll out on your team?

  • Hands-on training on specific AI tools
  • Clearer communication from leadership about the roadmap
  • More time carved out to learn and experiment
  • Updated career paths that reflect new AI-related skills
  • Better tools or access (e.g., licenses, compute)
  • Reassurance about job security
  • Peer support or communities of practice
Pick best & worst per setBest:Most neededWorst:Least needed
Q08
AI Interview

Anchor on the respondent's overall sentiment score and the statement they agreed or disagreed with most strongly, and get them to explain the specific recent event or decision behind it — not just how they feel but what happened. If sentiment is low or they flagged low trust in leadership communication, probe exactly what communication has been missing and what would rebuild trust. If sentiment is high, probe what leadership is doing right that other teams could copy. Always end by asking what one change in the next month would most improve how they feel about this transition.

Q09
Dropdown

Which department or function are you part of?

  • Engineering / Product
  • Sales
  • Marketing
  • Customer Support
  • Operations
  • Finance
  • HR / People
  • Other
  • Prefer not to say
Q10
Multiple Choice

How long have you been with the company?

  • Less than 1 year
  • 1-2 years
  • 3-5 years
  • 6-10 years
  • More than 10 years
  • Prefer not to say
Q11
Multiple Choice

Which best describes your role level?

  • Individual contributor
  • Team lead / Manager
  • Senior manager / Director
  • Executive / VP and above
  • Prefer not to say
Q12
Message

That's everything — thank you for the honesty. Responses feed directly into how leadership shapes communication, training, and support during this transition, and individual answers are never shared with your manager.

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

  • Goes beyond a single sentiment score with an AI follow-up interview that digs into the real story behind each person's rating — surfacing specifics a static scale can't capture
  • Purpose-built for AI-driven change: pairs sentiment and skill-confidence ratings with a matrix on AI's impact and a MaxDiff question that pinpoints which support employees actually want next
  • Captures behavioral context (recent AI tool usage, department, tenure, role level) so results can be segmented, not just averaged
  • Uses transparent, auto-generated reporting so teams can see exactly how responses feed into next steps, not a black-box score

Jotform

Pulse Survey Form Template

A generic, static pulse survey form built on Jotform's drag-and-drop form builder. It's ready to field quickly and easy to customize with their editor, but it isn't tailored to AI-related change and asks the same fixed questions of every respondent.

What it does well

  • Fast to deploy via a well-known drag-and-drop form builder
  • Easy to customize fields and branding
  • Broad template library for adjacent HR/engagement forms

Where it falls short

  • Static question set with no adaptive follow-up to probe individual sentiment scores
  • No mention of AI-driven interview or voice-based follow-up
  • No published methodology for how responses are scored or interpreted

QuestionPro

Employee pulse sample questionnaire and survey template

A sample employee pulse questionnaire aimed at general engagement tracking rather than AI-disruption sentiment specifically. It offers a solid question bank for recurring pulse checks but presents fixed questions rather than an adaptive interview.

What it does well

  • Established employee-experience survey platform with broad question libraries
  • Covers general engagement themes useful as a starting point
  • Supports standard analytics/dashboards typical of enterprise survey tools

Where it falls short

  • No adaptive AI follow-up interview to explore the reasoning behind a sentiment score
  • Not specific to AI-driven workplace change or skill-confidence tracking
  • No transparent prompt/methodology disclosure for how insights are generated

SurveyMonkey

Pulse Survey Template

A standard, well-known employee pulse survey template for general engagement check-ins. It's quick to launch and benefits from SurveyMonkey's familiar interface, but it's a static questionnaire with no topic-specific focus on AI disruption or adaptive probing.

What it does well

  • Widely recognized, easy-to-use survey builder
  • Quick to launch with pre-built engagement questions
  • Strong reporting dashboards for aggregate results

Where it falls short

  • Fixed question flow with no AI-driven follow-up to surface individual context
  • Not tailored to AI-change sentiment, trust-in-leadership, or skill-confidence themes
  • No disclosed scoring methodology or per-response quality checks

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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