Bring structure to scattered product and support feedback in Slack. Ingest and analyze it alongside your VoC data with unsupervised Agentic AI for actionable consumer insights.
Slack hosts a goldmine of customer intelligence from support channel complaints to product feedback dropped in cross-functional chats. But these conversations rarely make it into formal analysis.
With Clootrack, you can ingest these Slack messages and threads alongside survey responses, CRM logs, and reviews — transforming unstructured internal feedback into a powerful lens on what customers are saying, asking, and struggling with.
Automatically group Slack messages by recurring topics and customer issues without tagging or manual labeling.
Identify overlaps between what’s said internally and what’s showing up in surveys, complaints, and reviews.
Understand and track evolving sentiment trends in real time across regions and segments.
Analyze feedback instantly with Clootrack Genie, our multi-agent reasoning engine.
Combine conversations from Slack channels (e.g., support-feedback, product-requests) with reviews, social media, app store data, and contact center logs for a 360° feedback view.
Use powerful visualizations to tailor reporting views from CX ops to strategy.
Analyze support or product Slack channels alongside external VoC for creating a unified view of what customers need.
Extract recurring pain points shared by agents, RMs, or product owners and link them to broader CX themes.
Correlate Slack-based issue chatter with complaints, sentiment shifts, or NPS dips for better resource allocation.
Ingest product suggestions and internal reactions to new features, long before they surface in surveys or ratings.