Which scenarios indicate the need to adjust an activity's metrics? (Select two.)

Question

Options

• AUnexpected changes in audience behavior
• BDiscrepancies in traffic allocation
• CConsistently low engagement rates
• DRapid achievement of statistical significance

• A
  79% (11)
• B
  14% (2)
• D
  7% (1)

Explanation

Adjusting an activity's metrics is warranted when audience behavior shifts unexpectedly (A), because external factors - like seasonality, a viral trend, or platform changes - can invalidate your original assumptions, making existing metrics misleading or irrelevant. Consistently low engagement rates (C) signal that your current metrics may not be capturing meaningful user interactions, or that the success criteria need recalibration to reflect realistic baselines. Traffic allocation discrepancies (B) point to a setup or technical problem with the test itself - not the metrics - so the fix is correcting the traffic split, not redefining what you measure. Rapid statistical significance (D) is a positive outcome indicating you can conclude the test sooner; it doesn't suggest the metrics are wrong, just that the effect size was larger than anticipated. Memory tip: Think "adjust metrics when reality changes (behavior) or results are broken (always low)" - both A and C reflect a mismatch between what you're measuring and what's actually happening, while B and D are operational/statistical concerns, not metric validity issues.

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