Enhance all-team experimentation with Kameleoon’s new results page
Easy access to data is the best way to derive actionable insights from experimentation. To improve the ways you analyze and understand your experiments, Kameleoon has created a new results page, with more features to let you get the most out of your testing.
The new results page offers several updates designed to improve the way you analyze and understand your experiments. These changes make your data easier to navigate, provide more detailed insights, and ultimately help you make informed decisions based on your results. Here’s a closer look at the new features.
Overview tab: visualize key metrics and compare variations
The Overview tab gives you a clear view of your experiment’s primary goal, where you can compare the original version to its variations. This tab includes several charts showing key metrics like conversion rate, total visits, reliability rate, and total revenue. You also get the confidence interval for each variation, which helps you understand the level of certainty around your data. It shows the range of values where the actual result is likely to fall, helping you judge how reliable your results are.
This overview helps you quickly assess how well each variation is performing against your primary goal, allowing you to make informed decisions faster.
Metrics tab: dive deeper into experiment data
The Metrics tab provides more granular data on the performance of each goal and variation. You can examine the confidence intervals for each variation, which shows the reliability of your results. The data is presented in a clear layout with interactive graphs that make it easier for you to understand the trends in your experiment’s performance.
This tab also includes a Per Variation view, which allows you to analyze the impact of a specific variant on several metrics simultaneously. This feature provides a holistic view of how each variation performs across different goals, making it easier to identify patterns and correlations. By using these tools, you can better understand what’s working, what’s not, and refine your experiments accordingly.
Compare variations: quick comparison of key metrics
In the Compare section, you can evaluate the performance of different variations side by side with greater focus on granular comparisons. While the Overview tab provides a high-level summary of your experiment’s primary goal and performance, the Compare section lets you zoom in on the key metrics for each variation, like conversion rates, total visits, and revenue.
This section also emphasizes improvement rates and reliability metrics, which can help you see how much better—or worse—a variation is performing compared to others. By isolating these critical data points, the Compare section complements the Overview tab, offering a more detailed lens to identify the top-performing variations.
Activity tab: track all updates to your experiment
The Activity tab acts as a log that tracks all changes made to your experiment. Every action is recorded with a timestamp, allowing you to see who made each update and when. The log is organized in chronological order, so you can easily follow the history of your experiment and understand how it has evolved over time.
This feature ensures that you have a complete record of your experiment’s changes, which can be useful for tracking progress or troubleshooting issues.
Sidebar: easy access to tools for refining results
The sidebar offers quick access to several useful tools for refining and analyzing your results. You can filter data by audience segments, allowing you to focus on specific groups of users.
You can also choose your preferred statistical method—either Frequentist or Bayesian—to analyze your data. The sidebar gives you access to additional tools like multiple test correction and CUPED, which help improve the accuracy of your results by addressing common statistical challenges. These tools provide more flexibility in how you analyze your results, helping you get more accurate insights from your data.
Quick actions in the header
At the top of the new results page, you’ll find several quick action buttons designed to simplify your workflow. One standout feature is AI Assist, which provides detailed insights based on your experiment data. AI Assist retrieves key data—such as experiment metadata, goal performance, segment details, and experiment results—to answer specific questions such as “Which variation performs better?” or “What is the p-value of this test?” This ensures you have accurate, data-backed insights readily available.
Another powerful tool is AI Opportunity Detection, which helps uncover hidden potential within your experiments. This feature automatically scans your segments for subgroups where variations perform exceptionally well. When opportunities are detected, you’ll be notified via an icon or pop-up. From there, you can duplicate the experiment to target these high-performing subsegments and maximize your results.
These tools, alongside quick access to export data and change experiment status, make the header your central point for faster decision-making.
The updated results page provides several new features that make it easier to analyze your experiments. With access to more detailed data, clearer visuals, and tools to refine your results, you can make better decisions based on your experiment’s performance. Whether you’re comparing variations, tracking updates, or using advanced statistical methods, these new features offer practical benefits for improving the way you work with your experiment data.
You can check out these changes in our Academy here!
How to access the new Results page: To access the new results page, go to the sub-menu for your experiment. Click the three dots (ellipses) next to your experiment and select the “New Results Page” option. This will open the updated results page, where you’ll find all the new features to help you analyze your experiment more effectively.
