Meet Wooly: The AI That Explains Your Engineering Metrics

Engineering leaders often face challenges with traditional analytics dashboards that highlight surface-level metrics without providing insights into the underlying causes of performance changes. This can lead to inefficient decisions based on guesswork. Weave's AI agent, Wooly, addresses this issue by acting as a deep research assistant that analyzes data from tools like GitHub, Linear, and Cursor to uncover the reasons behind metrics, offering actionable intelligence rather than just raw data. By connecting the dots between code activity, project management, and AI tool usage, Wooly provides detailed insights into team velocity fluctuations, bottlenecks, and AI adoption effectiveness, allowing teams to move from reactive to proactive decision-making. Wooly uses parallel AI agents to investigate anomalies and delivers comprehensive stories with root causes and suggested actions, making it an invaluable tool for engineering teams aiming to understand and enhance their workflows.

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