A target expert was running an A/B test on the website's checkout page to compare two different call- to-action button colors. After a week of running the test, the developer noticed that both…

Question

Options

• AEnd the test and keep the original button color
• BTest additional variations of button text along with the colors
• CExtend the test duration to gather more data
• DImplement both button colors permanently for different user segments

• A
  7% (3)
• B
  5% (2)
• C
  75% (33)
• D
  14% (6)

Explanation

Extending the test duration (C) is correct because similar conversion rates after only one week may simply reflect insufficient data - statistical significance requires enough sample size to confidently distinguish real differences from random noise, and ending early risks a false conclusion. Option A is wrong because discarding the test prematurely wastes the experiment's potential insight; the results aren't yet reliable enough to act on. Option B introduces new variables mid-test, which violates A/B testing methodology and would contaminate the existing results. Option D is premature and logistically problematic - permanently splitting users by button color before the test reaches significance doesn't resolve the uncertainty and adds unnecessary complexity.

Memory tip: Think of A/B tests like cooking - you can't taste-test a dish after 5 minutes and declare it done. "Similar results" early on = Still need more time to reach Statistical significance. When in doubt, let it run out.

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