Survey Responses → AI Analysis → Stakeholder Dashboards
Automatically analyze customer feedback about AI features using sentiment analysis and topic clustering, then generate executive dashboards showing user concerns and satisfaction trends.
Workflow Steps
Typeform
Collect structured feedback
Create surveys asking about AI tool usage, satisfaction levels, specific concerns, and demographic info. Include rating scales for different AI features and open-ended questions about user experience.
Zapier
Process new responses
Trigger on each new Typeform submission to automatically pass response data to the next step. Include all survey fields and response metadata like completion time and device type.
OpenAI GPT-4
Analyze sentiment and themes
Use GPT-4 API to analyze open-ended responses for sentiment (-1 to +1 scale), extract key concerns/praise themes, and categorize feedback by topic (privacy, job displacement, accuracy, etc.).
Google Sheets
Compile analysis results
Store structured data including original responses, sentiment scores, theme categories, demographic segments, and trend indicators. Calculate satisfaction averages by user group.
Tableau
Generate executive dashboard
Auto-refresh dashboard showing AI sentiment trends by demographic, top concern themes, satisfaction scores over time, and recommended action items based on the most pressing issues identified.
Workflow Flow
Step 1
Typeform
Collect structured feedback
Step 2
Zapier
Process new responses
Step 3
OpenAI GPT-4
Analyze sentiment and themes
Step 4
Google Sheets
Compile analysis results
Step 5
Tableau
Generate executive dashboard
Why This Works
Transforms unstructured feedback into actionable insights automatically, helping teams spot concerning trends like the Gen Z sentiment decline mentioned in polling data.
Best For
Product teams need to understand user sentiment about AI features to guide development priorities
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