How to mine AI agent production traffic for product roadmap signals (2026)

AI agent production traffic provides valuable insights into user behavior and unmet needs by classifying interactions based on intent, sentiment, and product-specific signals. This approach allows product teams to derive evidence for roadmap decisions directly from real user interactions, bypassing traditional methods like interviews and surveys, which may not capture the full spectrum of user experiences. Braintrust Topics facilitates this process by automatically classifying agent traffic into tasks, sentiment, and issues, enabling product managers to identify trends and prioritize potential improvements or new features. The tool offers various views, such as scatterplots and lists, to visualize and analyze traffic patterns, helping teams to focus on significant clusters that indicate capability gaps, feature requests, or capability discoveries. By supplementing these insights with custom facets tailored to specific business needs, product teams can integrate comprehensive traffic analysis into their strategic planning, ensuring that roadmap decisions are grounded in authentic user behavior and not solely on selective qualitative research.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.