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Last edited: Jan 10, 2023
This topic explains how to interpret an experiment's results and apply its findings to your product.
Understanding experiments as they run
When your experiments are running, you can view information about them on the Experiments list or on the related flag's Experimentation tab. The Experimentation tab displays all the experiments a flag is participating in, including both experiments that are currently recording and experiments that are stopped.
Here are some things you can do with each experiment:
- Stop the experiment or start a new iteration. To learn more, read Managing experiments.
- Edit the metrics connected to the experiment and start a new iteration.
- View experiment data over set periods of time on the Iterations tab:
Reading experiment data
The data an experiment has collected is represented in a results graph and table:
The horizontal x-axis displays the unit of the primary metric included in the experiment. For example, if the metric is measuring revenue, the unit might be dollars, or if the metric is measuring website latency, the unit might be milliseconds. The vertical y-axis measures probability.
To learn more about interpreting an experiment's results, read Reading results graphs.
Choosing a winning variation
The winning variation for a completed experiment is the variation that is most likely to be the best option out of all of the variations tested. To learn more, read Winning variations.
If you're done with an experiment and have rolled out the winning variation to your user base, it is a good time to stop your experiment. Experiments running on a user base that only receives one flag variation do not return useful results. Stopping an experiment retains all the data collected so far.
Further analyzing results
If you're using Data Export, you can find experiment data in your Data Export destinations to further analyze it using third-party tools of your own.
To learn more, read Data Export.