### Interpreting Time Comparison Results

After running a Group Comparison analysis, the results will be returned in the fact page underneath the "Top drivers" tab. These facts will help identify what's meaningfully impacting metric performance.

Each line of the table represents a “Subgroup”, or a subset of rows in the data, that had a statistically significant impact on the metric.

- The
**name of the subgroup**will describe which column and value pair that makes up the subgroup. For example, “operating_system = iOS” refers to the subgroup where the value in the column “operating_system” was equal to “iOS”. - The
**subgroup sizes**describes how big that subset of the data is as a, within each group. For example, if a dataset has 100 and the subgroup size is 40% vs 60%, it means that for the previous period, 40 rows out of the 100 match that criteria, while for most recent period, 60 rows out of the 100 match that criteria.**percentage of the total** - The
**subgroup averages**describes what’s the average for that specific subgroup, or subset of rows in the data, within each group (A vs B). That column will reflect the calculation type that was selected, so it could be a Subgroup sum, rate, or count. The grey label shows the percentage change between the two groups. - The
**impact column**describes how the overall average (or sum, rate, count) of the second group (B) changes when the subgroup is present. For example, if the overall “Average order value” for the group B (e.g. iOS) is 100, a subgroup may have an impact of 20, meaning that having that subgroup in the data is increasing the average by 20. Another subgroup may have an impact of -10, meaning that this subgroup drives down the average order value by 10.- Please note: subgroups
**may overlap**—that means that if all of the impact numbers from the different subgroups are added up, it willget the overall “Average order value”.*not*

- Please note: subgroups

There are multiple actions that can be taken for each fact in the table. These can be accessed by hovering over the “...” next to each fact. These include:

**Hide fact**—this hides the fact for everyone. All hidden facts can be shows by clicking on the table settings and toggle “Show hidden facts”.**Add comment**—this enables the addition of commentary visible to other users**Save to fact board**—this enables users to save interesting facts to a fact board that is accessible on the bottom left side. Users will often use this feature to create a story for their stakeholders across multiple metrics that is easily digestible. Other users can then view the fact board and leave additional comments.

In addition, clicking on a given fact opens up a window that can be used to dive deeper into a fact and check its relevance and importance.

**Note:** Also see Exploring a fact