Microsoft Publishes Five Query Patterns for Behavioral Analytics
Microsoft has published five example query patterns for its Clarity MCP Server to help users move beyond single-metric dashboards and combine behavioral signals, segments, and time comparisons in one prompt. The goal is to create compound, AI-assisted questions that can be sent through an AI assistant connected to the existing MCP Server.
The five patterns aim to solve common marketing dashboard problems: identifying pages with high scroll depth but low conversions, surfacing sessions with multiple negative engagement signals, segmenting engagement across device type, geographic region, and browser, identifying pages with rising or falling engagement trends, and combining session recordings with metrics for deeper insight.
Each pattern includes a sample prompt, reasoning behind the query, and authoring guidelines for building further prompts. The post does not introduce new product functionality but rather documents existing capabilities of the MCP Server.