Collect Employee AI Concerns → Analyze Themes → Generate Response Plan

intermediate25 minPublished Apr 8, 2026
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Gather employee feedback about AI usage concerns through surveys, identify common themes with AI analysis, and create actionable response strategies.

Workflow Steps

1

Typeform

Deploy anonymous feedback survey

Create a survey asking: 'What concerns do you have about AI in our workplace?', 'How should AI decisions affecting you be made?', 'What AI training would be helpful?', and 'Rate your comfort with current AI usage (1-10)'. Enable anonymous responses and distribute via email/Slack.

2

OpenAI GPT-4

Identify themes and sentiment

Use Zapier to send survey responses to GPT-4 with a prompt to: categorize concerns (job security, privacy, bias, transparency, training), extract specific fears or suggestions, rate overall sentiment (1-5 scale), and identify actionable requests. Return structured JSON data.

3

Airtable

Build response strategy database

Create an Airtable base with tables for: Concern Categories (with counts and examples), Individual Responses (with sentiment scores), and Action Items (with priority, owner, and timeline). Use Zapier to populate from GPT-4 analysis and add manual follow-up tasks.

4

Notion

Generate executive report and action plan

Create a Notion page template that pulls Airtable data to show: top 5 concerns by frequency, sentiment trends, specific employee quotes (anonymized), and recommended actions with timelines. Share with leadership and use as basis for all-hands AI discussion.

Workflow Flow

Step 1

Typeform

Deploy anonymous feedback survey

Step 2

OpenAI GPT-4

Identify themes and sentiment

Step 3

Airtable

Build response strategy database

Step 4

Notion

Generate executive report and action plan

Why This Works

Typeform enables honest anonymous feedback, GPT-4 quickly identifies patterns across hundreds of responses, Airtable organizes findings for action, and Notion creates a professional report that drives decision-making

Best For

HR leaders and executives who need to proactively address employee concerns about AI implementation and build trust through transparent communication

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