Build and QA

Step 3: Build and QA

The "build and QA" stage in the experimentation process within Optimizely involves implementing the changes or variations identified in your experiment hypothesis and ensuring that they work as intended. Here's a breakdown of this stage:

1. Build:

   • In this phase, the development or implementation team translates the proposed changes from your experiment hypothesis into the actual modifications on your website or application. This could involve coding new elements, adjusting design elements, or configuring settings within the Optimizely platform to create the desired variations.

2. Quality Assurance (QA):

   • Once the changes are built, the QA phase begins. Quality Assurance involves thoroughly testing the variations to ensure they function correctly and don't introduce any unintended issues. This testing may cover various aspects, such as functionality, compatibility across browsers and devices, and adherence to design specifications.

3. Cross-Browser and Device Testing:

   • Verify that the experiment variations work consistently across different web browsers (e.g., Chrome, Firefox, Safari) and devices (desktop, tablet, mobile). This step is crucial to ensure a consistent user experience for all visitors.

4. Functionality Testing:

   • Check that all interactive elements, buttons, forms, or any other functionality related to the experiment are working as expected. This includes validating that the variations do not negatively impact the overall user experience.

5. Data Layer Implementation (if applicable):

   • If your experiment involves tracking custom events or goals, ensure that the necessary data layer or tracking mechanisms are correctly implemented. This is essential for accurate data collection during the experiment.

6. Preview and Debugging:

   • Use the preview mode in Optimizely to review how the variations will appear to users. Additionally, leverage debugging tools to identify and fix any issues that may arise during the QA process.

The build and QA stage is a critical step in the experimentation process, as it ensures that the changes are not only implemented correctly but also thoroughly tested to maintain a positive user experience and gather reliable data during the experiment. Once this stage is successfully completed, the experiment is typically ready to be launched and measured.