Some of your analysis results may be more relevant than others. This data can be isolated using Filtersets. When you create a Filterset you have the choice to make it either Personal so it is visible only to you, or make it Organization-wide, allowing it to be  visible to anyone who has access to the Organization. 

You can also share Filtersets with people outside of your Organization, regardless of whether they have a Keatext subscription or not.

You don’t have to worry about contemporaneity, shared Filterset results will be updated automatically if new data is added to the Organization. 

Here’s an example: You just launched a new hotel chain and some customers mentioned their connectivity in certain locations. At this point you don’t know if it’s a generalized lack of connectivity or if some isolated customers had excessive expectations. You want to share this information with the locations having issues. You create a Filterset that isolates the Problems associated with the Topic “connectivity” and you share it with the locations in question. As you add more data, each time both yourself and the troubled hotel view this Filterset, the results will be up-to-date. Overtime, you can see if these issues are getting more frequent or staying the same. This will help you both prioritize actions and catch problems before they become a crisis. 

You must save the Fiterset before you can share it. Read more about the kinds of filters available in Keatext here.

Sharing a Filterset

Below we have created a Filterset called “Connectivity Problems” that displays results related to wifi issues.

Once your Filterset has been saved, select the “Share” button. Copy the link and send it to  those concerned. If you want to stop sharing simply select the “Unshare” button.


Think of the shared link as a themed report that always reflects the most up-to-date information. 

The shared link provides you with a filtered view of the data. You will not be able to modify the Filterset, however you can toggle between Comments, Topics and Opinions, open and view related Comments and consult system generated metadata Correlation charts.

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