AI that analyzes feedback in real-time, automatically identifying content gaps and turning user insights into documentation that evolves continually.
Product teams use DocsHound to stay ahead
Every customer conversation becomes structured intelligence without additional team effort or customer interruptions
Our AI processes natural conversations, identifying patterns, questions, and sentiment that traditional surveys miss entirely
Automatically transform scattered feedback into organized knowledge priorities that drive immediate documentation improvements
Weekly reports highlight trending topics, sentiment shifts, and specific content gaps requiring attention
Identify missing documentation before customers repeatedly ask, creating resources that anticipate user needs
AI compares actual customer questions against existing content, automatically flagging areas where documentation falls short
Feedback flows constantly through natural conversation, not isolated surveys or interrupting popups
Insights automatically improve knowledge base content, creating a self-improving support system
AI identifies what's missing before it becomes a support bottleneck
Traditional tools collect feedback in isolation. DocsHound integrates everything.
Our system processes conversations naturally, identifies documentation gaps, and connects insights directly to your knowledge base. Feedback becomes immediate improvements, not reports gathering dust.
Absolutely. Most organizations find it more comprehensive.
The system captures conversational feedback during normal support interactions. No interrupting surveys needed. Customers express genuine needs rather than responding to predetermined questions.
Documentation evolves automatically based on real customer needs.
The system identifies topics requiring clarity, questions asked repeatedly, and features causing confusion. Reports highlight exactly what content needs creation or improvement.
Weekly actionable summaries arrive automatically.
Reports include trending topics, sentiment analysis, common questions, feature requests, and exact documentation gaps. Data visualizations highlight patterns and priorities for immediate action.
Unstructured conversations become categorized, prioritized intelligence.
The system identifies topics, sentiment, urgency, and frequency automatically. Similar questions cluster together. Feature requests organize by impact. Documentation gaps rank by frequency and business impact.