Transform customer conversations into self-improving documentation

AI that analyzes feedback in real-time, automatically identifying content gaps and turning user insights into documentation that evolves continually.

Built for fast-moving teams

Product teams use DocsHound to stay ahead

Teambridge Novel Kastle Fospha Kiplot Endless Commerce BuiltAI
Chat History Intelligence

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

Every customer conversation becomes **structured intelligence** **without additional team effort** or customer interruptions
Action-Ready Insight Reports

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

Automatically transform scattered feedback into **organized knowledge priorities** that drive **immediate documentation improvements**
Knowledge Base Gap Reporting

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

Identify **missing documentation** before customers repeatedly ask, creating resources that **anticipate user needs**

Beyond traditional feedback collection

1

Continuous Rather Than Episodic

Feedback flows constantly through natural conversation, not isolated surveys or interrupting popups

2

Documentation-Connected

Insights automatically improve knowledge base content, creating a self-improving support system

3

Proactive Gap Identification

AI identifies what's missing before it becomes a support bottleneck

FAQs

How does DocsHound analyze customer feedback differently?

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.

Can DocsHound replace our existing feedback collection?

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.

How does feedback analysis improve our documentation?

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.

What kind of reports does the feedback analysis generate?

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.

How is AI used to organize customer feedback?

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.