Fully customizable automated feedback tagging powered by AI and Machine Learning.
Pain-points discovery
Customer pain-points discovery and emerging trends on auto-pilot for the whole team.
Timeline evolution
Sentiment analysis and annotations to understand the timeline evolution of a problem.
Customer segments
A multitude of filters to better identify client groups by sentiment, MRR/YRR, time to renewal etc.
STEP 1
Connect all your communication channels
All your feedback in one place. Easily integrate your chat, ticketing, reviews, emails or any custom data coming from any sources.
Chat
Tickets
Reviews
Custom Data
CSV
STEP 2
Create the topics that you want to track
Fully customizable topics with advanced search tools
Create topics to track customer issues, common requests, feature feedback or reviews. Search for specific keywords or phrases, and exclude what doesn't make sense.
Organize topics into groups for high level view
Create topics and organize them into groups for high-level trends. Auto-tagging that you control.
Get a real-time preview of feebdack samples for tweaking
Real-time preview based on our actual data, for even more control and fine tuning.
Conversations, tickets and reviews tagged under topics and groups that you control. Easily define what makes sense to your specific use-case, without the need to train an AI.
Spot topics on the rise and potential customer painpoints. Sentiment analysis, timeframe and MRR help you highlight topics that matter for your most valuable segment.
Mark your most important product updates for every specific topic. Understand how your releases improved a painpoint trough the feedback of your customers.
Paste your feedback, reviews or any text to see how it works.
No email or card needed
sentiment analysis on your dataset
discover how feedback analysis works
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