Context Gateway → Multi-LLM Analysis → Notion Dashboard
Route customer feedback through context filters to multiple AI models for comprehensive analysis, then compile insights into a Notion dashboard for product teams.
Workflow Steps
Zapier
Filter customer feedback
Set up triggers for customer feedback from multiple sources (surveys, support tickets, reviews) and apply context gateway rules to categorize and clean the data before analysis.
OpenAI API
Extract sentiment and themes
Process filtered feedback through OpenAI to identify sentiment scores, key themes, feature requests, and pain points using structured prompts for consistent output.
Claude API
Generate strategic insights
Send the same feedback to Claude with prompts focused on competitive analysis, market positioning insights, and strategic recommendations based on customer voice.
Notion
Compile insights dashboard
Create or update Notion pages with combined analysis from both AI models, organizing insights by product area, priority level, and actionable recommendations with automatic tagging and status tracking.
Workflow Flow
Step 1
Zapier
Filter customer feedback
Step 2
OpenAI API
Extract sentiment and themes
Step 3
Claude API
Generate strategic insights
Step 4
Notion
Compile insights dashboard
Why This Works
Context filtering ensures relevant feedback reaches analysis, multiple AI models provide diverse perspectives, and Notion centralizes insights for easy team collaboration and decision-making.
Best For
Comprehensive customer feedback analysis for product teams
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