Stratifyd’s Focused Insights feature helps users identify “fresh topics”—emerging trends, themes, and keywords/phrases—within a specific time comparison in their data sets. Focused Insights automates the process of data monitoring in order to save users the time and energy required to do so manually. When paired with other Stratifyd features, specifically Listen Actions, Focused Insights takes on the role of a virtual 24/7 analysis assistant for platform users.


While automating the task of continuous data monitoring within the platform provides for easier analysis, there are several practices that we suggest in order to mitigate the effects of the feature’s limitations.

1. Use the Focused Insights feature when trying to identify topics that could be new and/or anomalous.


Let’s imagine I’m analyzing mobile app reviews. Then, imagine I’m tracking for positive and negative review behaviors, but not for bugs. Using the Focused Insights feature, I can identify a spike in my app failing to work on specific devices. In response, I can add a label for app bugs/malfunctions.

2. Use data with date ranges where new topics can be discovered.

Focus Insights can detect and compare based on the following cadences:

  • Weekly
  • Monthly
  • Quarterly

NOTE: Focused Insights is best suited for non-static streams. The frequency with which the data set updates should depend on data volume.

3. When beneficial, edit the advanced settings to modify filters to allow for comparison analyses based on one specific time range.


Let’s imagine a company has launched a new product. In a situation like this, the platform user might modify filters to compare reviews for the new product to reviews for existing products in order to detect new topics being discussed.

NOTE: Rolling date filters will be the default settings (e.g. a rolling weekly cadence will compare the past 7 days to the previous 7 days).


The latest updates to focused insights include sentiment scores based on dictionary assigned values attached to the discovered insights as well as on-the-fly summaries of insights after aggregation.

Rolling time filters have also been enhanced to allow for custom ranges and calculation of time ranges.

Users can also view previous versions of their focused insights via the version drop down menu.


In its initial version, the Focused Insights feature does have a few limitations. A brief description of each is provided below.

  • Based on research with the Focused Insights feature, an average of roughly 200 records are required in a data set in order for 2 to 3 meaningful new topics to be generated. So, if a platform user’s data set receives less than 200 new records per week, a weekly cadence won’t produce results. While this is not inherently an issue, the feature currently includes no in-widget messaging that communicates that there are no new results. Instead, it’s important to recognize that some users may misinterpret this lack of information as a functionality error or malfunction.
  • Topics with a fresh value less than 0.5 are not really “fresh” or emerging given that they were likely included in the previous comparison data range. It’s important to recognize that these “fresh values” (values less than 0.4) can be hidden from display in the widget in order to prevent unnecessary user notifications by the accompanying Listen Actions feature.


1. Select Stratifyd Model group of models

2. Select the Focused Insights model

3. Select your date and time inputs

4. Select your comparison setting (this example past 30 days to previous 30 days)

5. Submit your Focused Insights model

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