AI Sentiment Pulse (Workforce)

Anonymous pulse on hopes and concerns about AI at work – inspired by established attitude scales such as the GAAIS. Ideal before and during an AI rollout.

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AI Sentiment Pulse (Workforce) – questionnaire preview

Whether an AI rollout succeeds is rarely decided by the technology – but by whether the workforce comes along. This pulse anonymously measures how employees experience AI at work: expected productivity gains, worries about jobs and data protection, and what would concretely strengthen trust. The statements draw on established attitude scales such as the General Attitudes towards Artificial Intelligence Scale (GAAIS) and are deliberately short, so the survey works as a recurring pulse – for example quarterly during a rollout.

When should you use this template?

This template is a great fit for:

  • Before an AI rollout as a sentiment baseline
  • As a recurring pulse (e.g. quarterly) during adoption
  • After AI-related changes to measure impact and acceptance

Every question in this template

  1. 1

    Overall, how do you feel when you think about AI in your work environment? *

    Emoji scale
    • 😨Very worried
    • 🙁Somewhat worried
    • 😐Neutral
    • 🙂Somewhat optimistic
    • 🤩Very optimistic
  2. 2

    Opportunities of AI

    How much do you agree with the following statements?

    Matrix
    Strongly disagreeDisagreeNeutralAgreeStrongly agree
    AI will make my work more productive.
    AI takes routine tasks off my plate and frees time for more important work.
    AI improves the quality of my work results.
    Our organisation will benefit from using AI overall.
  3. 3

    Concerns about AI

    How much do you agree with the following statements?

    Matrix
    Strongly disagreeDisagreeNeutralAgreeStrongly agree
    I worry that parts of my job will be automated.
    I have data protection concerns when AI is used in our organisation.
    AI results are too often wrong or unreliable for my taste.
    I cannot understand how AI systems arrive at their results.
  4. 4

    How will AI affect your own role over the next three years?

    Single choice
    • My role will become much more attractive
    • Somewhat positive
    • Hardly any change
    • Somewhat negative
    • I see my role at risk
  5. 5

    What would strengthen your trust in our use of AI the most?

    Please rank the measures – the most effective first.

    Ranking
    • 1Clear rules on what is allowed and what is not
    • 2Training and time to experiment
    • 3Transparency on which tools are vetted and approved
    • 4A say in selecting the AI tools
    • 5Success stories from our own organisation
  6. 6

    What is your biggest hope or fear about AI?

    Long text

From questionnaire to dashboard

The dashboard contrasts hopes with concerns and tracks their development across survey waves:

  • Overall sentiment: The emoji scale as a distribution bar chart – the quickest read on how the workforce feels about AI.
  • Hopes vs. concerns: Both matrix blocks as diverging bars side by side: where does confidence outweigh scepticism? The basis for your change communication.
  • Trust factor ranking: The ranking question, shown as bars, reveals which measures strengthen trust most effectively – your prioritised to-do list.
  • Trend across waves: Repeat the pulse regularly and the line chart shows whether concerns fall and confidence grows as the rollout progresses.
  • AI sentiment of open answers: Analyse the open question on the biggest hope or fear with DataLion's AI sentiment and topic analysis – including a polarity chart.

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Frequently asked questions

How often should we run the pulse?
Every three to six months works well during active AI adoption. What matters is visibly acting on the results between waves – otherwise participation drops.
What are the statements based on?
The items draw on freely available, validated attitude scales – in particular the GAAIS (Schepman & Rodway, 2020) with its positive and negative subscales – shortened and adapted for the workplace context.
What if concerns dominate?
That is a finding, not a failure. Take the top three concerns seriously, answer them concretely (e.g. data protection commitments, reskilling guarantees) and treat the ranking question as your roadmap: the workforce has already told you what would build trust.

Start with this template

Load the template into DataLion, adapt it to your brand and start collecting responses — GDPR-compliant, in minutes.

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