• Home
  • Integrations
  • SDKs
  • Guides
  • API docs
No results for ""
EXPAND ALL

GIVE DOCS FEEDBACK

Analyzing experiments

Read time: 2 minutes
Last edited: Oct 17, 2023

Overview

This topic explains how to interpret an experiment's results and apply its findings to your product.

Reading experiment data

The data an experiment has collected is represented in a Results tab. The Results tab provides information about each variation's performance in the experiment, how it compares to the other variations, and which variations are likely to be best out of all the tested options. Understanding how to read this tab can help you make informed decisions about when to edit, stop, or choose a winning variation for your experiments.

Here is an example Results tab for a feature change experiment:

A feature change experiment's results tab.
A feature change experiment's results tab.

This table explains the different sections of the Results tab and what you can use them for:

SectionExample (click to enlarge)
Attribute filters and the traffic count table help you examine experiment results for certain cross-sections of your experiment audience. To learn more, read Slicing experiment results.
Experiment results sliced by attribute.
Experiment results sliced by attribute.
The sample ratio mismatch section helps you understand when there may be an issue with your JavaScript-based SDKs. To learn more, read Understanding sample ratios.
The sample ratio mismatch section.
The sample ratio mismatch section.
The sample size estimator helps you decide how long to run the experiment for. To learn more, read Experiment size and run time.
An experiment's sample size estimator results.
An experiment's sample size estimator results.
A feature change experiment's probability chart and results table help you understand why the winning variation has the highest probability to be best. To learn more, read Winning variations for feature change experiments.
A feature change experiment's probability chart and results table.
A feature change experiment's probability chart and results table.
A funnel optimization experiment's probability report tab displays the winning variation for each step in the experiment funnel as well as the winning variation overall. To learn more, read Winning variations for funnel optimization experiments.
A funnel optimization experiment's probability report tab.
A funnel optimization experiment's probability report tab.

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.