Setup
Create a Plan​
This step involves developing a comprehensive plan for the A/B experiment. It includes identifying the problem area and forming a hypothesis on what change could lead to an improvement. This plan sets the foundation for the experiment by defining the objectives and expected outcomes.
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Part 1: Observation: Identify an issue or an area of improvement. This involves gathering data or feedback that indicates a problem that needs to be addressed. For instance, you might notice that a particular webpage has a high bounce rate. The goal here is to clearly understand what needs to be fixed or optimized.
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Part 2: Hypothesis: Form a hypothesis based on your observations. This is an educated guess or prediction about what change might solve the identified problem. For example, you might hypothesize that changing the color of a call-to-action button will reduce the bounce rate. The hypothesis will guide the design of your experiment.
Install SDK in Codebase​
To set up the A/B experiment framework, you need to integrate the appropriate SDK into your existing codebase. This step is crucial for enabling the tracking and analysis of user interactions with different variants.
- Available SDKs:
Choose the SDK that corresponds to your platform and follow the provided instructions to complete the integration.