Docs Fresh monitors a company’s documentation repositories to detect stale, broken, or low‑engagement articles and sends automated alerts via Slack, email, or webhooks. By providing view counts, link analytics, and configurable freshness policies, it helps support and product teams keep knowledge bases current, ensuring AI chatbots and self‑service portals deliver accurate answers.
Funding
Funding not disclosed
Founders
Product
Problem
Companies rely on self‑service knowledge bases and AI chatbots to handle customer inquiries, but outdated or broken documentation leads to incorrect answers and increased support friction. Maintaining up‑to‑date help content across multiple sources is time‑consuming and often goes unnoticed until users encounter errors.
Solution
Docs Fresh continuously monitors the content of a company’s documentation repositories and detects stale, broken, or low‑engagement articles. It sends automated alerts through Slack, email, or webhooks, allowing support and product teams to prioritize updates. The platform provides view counts and link analytics to highlight the most accessed docs, and lets users define policies that set freshness thresholds for different sources. By ensuring that the knowledge base remains current, Docs Fresh improves the accuracy of AI‑driven support bots and the overall self‑service experience.
Target Audience
Primary customers are customer support, product, and operations teams at SaaS and technology companies that use self‑service portals and AI chatbots to handle user inquiries.
Features
- Automated scanning of connected doc sources (e.g., Intercom articles, Notion, marketing URLs) for broken links and outdated content
- Configurable policies that define freshness criteria and trigger notifications when thresholds are exceeded
- Real‑time view count and link analytics to identify high‑traffic documents that need priority updates
- Slack and email notification channels, with upcoming webhook support for custom integrations
- Tiered document limits and source allowances to match team size and documentation volume
- Dashboard displaying stale‑doc alerts, engagement metrics, and actionable recommendations