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Custom Filters: Example of use in the Analytics
Custom Filters: Example of use in the Analytics

Custom filters allows to explore your data by mixing your own organization(s), team(s) and tag(s) criteria. Let's explore an example.

Written by Morgane Le Marquer
Updated over a week ago

In the Analytics, you can choose the dates and the teams for which you want to explore the data.

Your custom filters make it easier for you to select the scope of the moods concerned for the data. Your filters (pre-defined and custom) are accessible in the drop-down menu at the top of the page.

Your default filter is used to display the data when you land on the page.

If you want to know more about the management of your filters, you can refer to this article.

Clicking on "view filter details" will display the information of the filter: its composition, its type (pre-defined or custom) and the default option (if it is a default filter, it is will display "default", else "set as default" to change its status).

See an example of predefined filter details just below:

For custom filters, you will see its combination of organization(s), team(s) and tag(s). You can change it live, the data will be automatically updated. A "save" button will appear if you wish to create a new filter based on these modifications for reuse.

In the filter selector we saw earlier, there is also the "New filter" option, at the end of the list of your saved filters. This way, you can create directly in the Analytics page a new filter that suits you best when exploring your data.

Like when you update a custom filter, the data is refreshed when you select an organization/team/tag item. If you want to reuse the created combination, click on "Save as new filter".

The following window will appear and allow you to complete your filter settings. Enter a name and if you want to make it your default filter, change the option to "yes" and validate with the "Create" button.

That's it, you have a new custom filter available everywhere in TeamMood (not just in the Analytics!).

Let us know if you still have questions about using them :)

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