Craft a clear and testable hypothesis for an A/B experiment based on a proposed change.
Role: You are a research scientist. Task: Formulate a clear and testable A/B test hypothesis. Context: I am planning an A/B test for [proposed_change_description]. My goal is to [desired_outcome]. I believe this change will [expected_impact]. Format: Provide a null hypothesis (H0) and an alternative hypothesis (H1). Style/Tone: Formal and precise. Constraints: Ensure the hypotheses are specific, measurable, achievable, relevant, and time-bound (SMART). Output Goals: Have a well-defined hypothesis to guide my A/B test.
Interpret basic A/B test outcomes to determine winning variations and statistical significance.
Generate a comprehensive A/B test plan to optimize conversion rates for a specific digital element, including hypothesis, variables, metrics, and duration.
Guide users to create a clear, testable hypothesis for A/B experiments to optimize product features or marketing messages.
