Which criteria are essential for defining a test's success metrics? (Select two.)

Question

Options

• AMetrics must be aligned with business objectives.
• BMetrics must be related to test variables.
• CMetrics must have predefined visualization types.
• DMetrics must include all possible user behaviors.

• A
  93% (39)
• C
  2% (1)
• D
  5% (2)

Explanation

Metrics must be aligned with business objectives (A) because a test only has meaningful success if what you measure connects to real business outcomes - otherwise you're optimizing for noise. Metrics must also be related to test variables (B) because if your metric isn't actually influenced by what you're changing, you can't draw valid conclusions about cause and effect.

C is wrong because visualization type is a presentation choice made after defining metrics - it has no bearing on whether a metric is valid or useful. D is wrong because trying to capture all possible user behaviors is impractical and unnecessary; you select the behaviors most relevant to your hypothesis.

Memory tip: Think "BV" - Business and Variables. A good metric answers two questions: "Does this matter to the business?" and "Can my test actually move this number?"

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