Metric context and benchmarks
The reference skill for answering "is this number good, bad, or noise?" correctly. Almost every wrong answer to that question comes from quoting a cross-industry average when the user's industry-specific number is 3× different, or quoting a benchmark without checking if the sample size even supports the comparison.
Read analytics-diagnostic-method first. Sample-size discipline applies here more than anywhere: benchmarks are meaningless if your data is noise.
[Description truncada. Veja o README completo no GitHub.]