What is the primary benefit of defining both primary and secondary success metrics in a test?

Question

Options

• ASecondary metrics replace primary metrics in case of errors.
• BSecondary metrics provide additional insights.
• CSecondary metrics shorten test duration.
• DSecondary metrics simplify data analysis.

• A
  3% (1)
• B
  91% (32)
• C
  6% (2)

Explanation

Defining secondary metrics alongside primary ones gives you additional context and depth - they reveal side effects, correlated behaviors, or nuanced trends that the primary metric alone might miss (e.g., a primary metric of conversion rate paired with secondary metrics like bounce rate or session duration). Option A is wrong because secondary metrics never replace primary ones; they complement them. Option C is wrong because adding metrics has no bearing on how long a test runs. Option D is wrong because more metrics generally add complexity to analysis, not simplicity.

Memory tip: Think of primary metrics as the headline and secondary metrics as the supporting evidence - you need both to tell the full story.

No community discussion yet for this question.