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    Explaining WHY questions with an AI Powered Metrics Tree

    Nimrod Fisher

    Problem

    Teams can see when key metrics like NRR or ARR change, but struggle to explain why. Analysis often stops at surface level trends, with no structured way to connect high level business metrics to the underlying drivers.

    Solution

    Use a metrics tree to move from what happened to why it happened. By defining metric hierarchies, semantic context, and calculations in version controlled YAML files, AI can generate structured analysis plans that follow the metric relationships instead of guessing. This enables consistent, explainable root cause analysis tied directly to business metrics.

    Walkthrough