We recommend opening the report in another window or tab so you can consult the methodology and set-up steps as you explore the report. If you’d like a bit more of an overview of how Mode Playbook reports work generally, please read this article.
When making product decisions, it’s critical to understand how much features are used, and how usage is changed over time. This report helps identify which features are most popular and which are rarely used.
Reading this report
The report compares feature usage rates over time. The report includes three different metrics for measuring feature use:
- Number of users: This view shows how many distinct users used each feature in the given time period.
- Number of events: This view shows how many times each feature was used during the given time period. The feature could have been used by many different users, or by only a few.
- Average time used per user: This view shows the average number of times a feature was used by a user in the given time period. Importantly, this shows the average usage for users who used the feature at least once. Values in this view are the same as the values in the “number of events”; view divided by the values in the “number of users”; view.
View options are available in the parameter menu.
Interpreting these results
This report helps identify which features are most popular, and which ones are rarely used. It also shows how usage patters have changed over time. The third view—average time used per user—helps identify if a feature is used frequently by a few power users, or if it’s used occasionally by many users.
Using this with your data
This report requires the standard events and users tables.
From the Report, click the button to the right of Export and then click Clone.
In the box that pops up, select the organization you want to clone the report to.
Click Report and then Publish to change the report name and description.
Share with your colleagues.
One part of this query can be database-specific. For details on how to adapt these to your database, see our Database Notes.
DATE_TRUNC functions. This function is used on line 49. Note that for MySQL reports, the function should be different for different time intervals (truncating by day and by week require different functions).
Last updated December 17, 2015