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Metric Sensitivity & Variance Analyzer
Calculate metric sensitivity to external factors and baseline variance to set realistic significance thresholds.
Updated June 2026
The prompt
Metric: {{metric_name}}. Historical data: {{historical_data}}. Known external drivers: {{external_drivers}}. Calculate: (1) baseline variance (coefficient of variation), (2) elasticity to each external driver (e.g., day-of-week effect, seasonal lift), (3) confidence intervals around baseline, (4) minimum detectable effect size (MDE) at 80% power, (5) recommend alert thresholds that reduce false positives by {{false_positive_tolerance}}%.
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AI Khazna
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