AI-powered Intent Detection
Detect the intent behind every comment — automatically and with evidence quotes. From complaint to feature request to churn signal.
6
standard intent categories
Multi
labels per text possible
100%
with quote evidence
The Challenge
1,000 tickets. What do customers want?
Support tickets, feedback, and comments contain valuable signals — but which ones? Is it a complaint, a feature request, or a churn threat? Manual triage is slow and error-prone.
- Critical intents like churn signals are overlooked
- Feature requests get lost in the volume
- Manual categorization is subjective and inconsistent
Intent Categories
6 standard categories — extensible
Complaint
Praise
Question
Feature Request
Bug Report
Churn Signal
Live Example
This is what intent detection looks like
Input
“Since the last update, the app crashes constantly. If this isn't fixed soon, I'll switch to a competitor.”
Detected Intents
Bug Report0.92
“since the last update, the app crashes constantly”
Churn Signal0.85
“I'll switch to a competitor”
Features
What intent detection can do
Multi-label detection
A text can have multiple intents — all are detected and weighted.
Evidence extraction
For each intent, the specific quote is extracted as proof.
Confidence scores
Transparent confidence values for each detected intent.
Customizable categories
Define your own intent categories for your use case.
FAQ
Frequently asked questions
Use Cases
Ideal for
Support ticket triageChurn preventionProduct backlog prioritizationFeedback categorizationComplaint managementVoice of Customer
Combine with other features
See your open responses as structure – not as a wall of text
Start directly with your own data or validate your use case with guidance – including stakeholder assurance.
Request Demo
No credit card required
Personal support
GDPR-compliant
Made in Germany