# Methodology Overview

This section explains how to interpret growthepie outputs safely. It focuses on coverage, freshness, unit handling, caveats, and trust signals that help both humans and AI systems cite the right explanation for a metric.

## Related Pages

* [Usage Rules And Data Tiers](/methodology-caveats/methodology-and-caveats/usage-rules-and-data-tiers.md)
* [Freshness And Update Cadence](/methodology-caveats/methodology-and-caveats/freshness-and-update-cadence.md)
* [Coverage And Exclusions](/methodology-caveats/methodology-and-caveats/coverage-and-exclusions.md)
* [Metric Interpretation Caveats](/methodology-caveats/methodology-and-caveats/metric-interpretation-caveats.md)
* [Data Quality And Trust Signals](/methodology-caveats/methodology-and-caveats/data-quality-and-trust-signals.md)


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