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.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Overall, how do you feel about the AI-related changes happening on your team right now?
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
How much do you agree with each statement about AI's impact on your work?
- 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
How confident are you in your ability to adapt your skills to the AI changes happening on your team?
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
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
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.
Which department or function are you part of?
- Engineering / Product
- Sales
- Marketing
- Customer Support
- Operations
- Finance
- HR / People
- Other
- Prefer not to say
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
Which best describes your role level?
- Individual contributor
- Team lead / Manager
- Senior manager / Director
- Executive / VP and above
- Prefer not to say
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.
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
- 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 TemplateA 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.
잘하는 점
- 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
아쉬운 점
- 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 templateA 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.
잘하는 점
- 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
아쉬운 점
- 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 TemplateA 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.
잘하는 점
- Widely recognized, easy-to-use survey builder
- Quick to launch with pre-built engagement questions
- Strong reporting dashboards for aggregate results
아쉬운 점
- 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
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