Never miss unhappy customer feedback again. This workflow monitors your Typeform survey responses, uses AI to analyze sentiment and extract actionable insights, and sends instant alerts to Slack when customers express dissatisfaction so you can respond before they churn.
Receive survey response from Typeform
The workflow triggers when a customer submits a survey response in Typeform. It captures all response data including NPS or CSAT scores, open-ended feedback comments, and any customer identification information.
Analyze sentiment and extract themes with OpenAI
Using OpenAI, the workflow analyzes the feedback to determine overall sentiment, identify specific issues mentioned, categorize by theme (product, support, pricing, etc.), and assess urgency. The AI goes beyond the numeric score to understand the why behind the rating.
Classify response priority and required action
Based on the sentiment analysis, the workflow classifies the response as requiring immediate attention, follow-up, or just logging. Detractors with specific complaints get flagged for outreach while promoters might be flagged for testimonial requests.
Send prioritized alert to Slack
For responses requiring attention, an alert is sent to Slack with the customer details, their feedback, AI-generated analysis, and suggested next steps. Critical detractors can trigger immediate alerts to customer success managers.
Why automate customer feedback analysis with AI?
Survey responses pile up faster than teams can review them. By the time someone reads negative feedback, the customer may have already churned. AI-powered analysis ensures every response gets immediate attention based on its urgency.
Catch at-risk customers before they churn
Detractors who leave detailed feedback are signaling they want you to fix something. Reaching out within hours instead of days shows you care and often saves the relationship.
Understand the why behind NPS scores
A score of 6 doesn't tell you much. AI analysis extracts the specific issues, themes, and emotions from open-ended feedback, giving you actionable insights instead of just numbers.
Scale feedback processing without adding headcount
Whether you get 10 responses or 1,000, the AI processes each one consistently. Your team focuses on taking action rather than reading and categorizing feedback.
How to set up AI feedback sentiment alerts
Setting up this Typeform feedback workflow takes about 15 minutes. You'll connect your survey, configure sentiment thresholds, and set up alert routing.
What you need to get started
- Typeform account with NPS or CSAT survey
- OpenAI API key for sentiment analysis
- Slack workspace for alert delivery
- Customer success team channel for routing
Configuring sentiment thresholds
- Define which NPS scores trigger alerts (typically 0-6 detractors)
- Set keywords that indicate urgent issues regardless of score
- Configure different alert levels for different severity
- Decide how to handle neutral responses (7-8 passives)
Customizing AI analysis
- Provide your product/service context for better categorization
- Define themes relevant to your business (pricing, features, support)
- Specify what constitutes an urgent vs. routine issue
- Include any customer segments that need special handling
Frequently asked questions about AI feedback analysis
Does this work with other survey tools besides Typeform?
Yes, you can adapt this workflow for SurveyMonkey, Google Forms, Delighted, or any survey tool with API access. The AI analysis works with any text feedback.
How quickly are alerts sent after a response?
Alerts are sent within seconds of a response being submitted. This enables same-day or even same-hour follow-up with unhappy customers.
Can I automatically respond to certain types of feedback?
Yes, you can extend this workflow to send automated acknowledgment emails to detractors or thank-you messages to promoters. The AI can even draft personalized responses for human review.
What if a customer leaves positive feedback but mentions an issue?
The AI analyzes the full content, not just the score. A promoter who mentions a bug will still have that issue flagged, even though the overall sentiment is positive.