Collect Customer Feedback → Analyze Sentiment → Create Product Tasks

Create a feedback form with rating scales, multiple choice questions about feature requests, and open-ended fields for detailed comments. Embed this form in your product and email signatures.

Set up a Zapier trigger that activates whenever a new Typeform response is submitted. Configure it to pass all form data to the next step for processing.

Use GPT-4 to analyze the feedback text, assign sentiment scores (positive/negative/neutral), categorize feedback types (bug, feature request, praise), and extract actionable insights with priority levels.

Automatically create Linear issues based on the AI analysis. High-priority bugs go to the current sprint, feature requests to the backlog with appropriate labels, and positive feedback to a 'customer love' project.

Send a formatted message to the product team Slack channel with a summary of the feedback, sentiment analysis, and links to the created Linear tasks for immediate action.