Fusion, Insights, & Action
Chapter 7 Product Release Notes
Stratifyd is excited to share with you our most recent quarterly release. In Chapter 7, the Stratifyd platform story continues with a focus in this chapter on Fusion, Insights, and Action.This release addresses key customer pain points related to combining data from individual sources into an omni-channel data source, providing emerging topic insights to identify new human experiences, and enabling the ability to listen for key events in your data and trigger alerts when these key events occur. The Chapter 7 release roll out will begin on October 1st, 2020.
Joining data sources in the platform so that a common analytic model can be applied.
In Chapter 7, we are beta releasing the ability to join or “fuse” data sources in the platform – essentially taking individual data sources and joining them into a combined data source – so that a single model of analysis can be applied to the joined data source.
We developed this feature for clients who are working to decipher what is happening across many different sources of customer feedback – such as surveys, calls, chats, customer tickets, and more. Data fusion provides the ability to unify those sources of data or create an omni channel source of data to give you a more holistic understanding of the customer experience. Users can now easily answer such questions as “what are my customers saying about topic x?” across multiple sources of data.
To Join the Beta
Please reach out to your Customer Success Manager or account team who will be happy to help with your Data Fusion use case and beta.
Expanded Connector Library
Providing greater access to additional API data sources
Stratifyd is committed to creating a turnkey process for users to add and connect new data sources into the platform in order to gain a more holistic view of customer and product experiences. In this release, Stratifyd has expanded our access to more API data sources. For more information on how to enable these sources as a connector reach out to your Customer Success Manager or account representative for a scoping session.
Identifies emerging or “fresh topics” in the data set over specified time frames.
In the Chapter 7 release, Stratifyd has created the ability to identify emerging or “fresh topics” in the data set over specified time frames to take the work out of new topic discovery. When combined with Listen Actions (also released in Chapter 7) users can also set up automated notifications of “fresh topics” in their data.
Stratifyd has included Focused Insights because we understand the pain of identifying new themes in your data over time. Focused Insights will automate the process of surfacing emerging topics to help users quickly identify new topics that would be difficult to find via traditional analysis. When combined with Listen Actions (below), Stratifyd’s hope is that Focused Insights becomes your virtual, 24/7 analysis assistant identifying what’s new and emerging in your topic data.
How to Implement
To use this feature, users will specify a data set and time window for listening (i.e. daily, weekly, and monthly). Upon reviewing the “fresh” insight, the user can choose to add new topics to their taxonomy or ignore topics if they are not relevant.
NPS Impact Score and New Quadrant Widget
Understand the Impact or Contribution of Key Themes or Data Fields on the NPS Score
In the Chapter 7 release, we have two new features available that work together to show impact. The “NPS Impact Score” aggregation will calculate and show the “impact” or contribution of a theme or structured data field (i.e. attributes such as product or geographical region) on NPS. We are also introducing a new enhancement to the Scatter Plot widget that allows the user to modify settings to create a Quadrant Widget that will visually display the impact in a quadrant chart.
The Impact Score combined with the new Quadrant Widget option will help users better understand the impact of key themes on NPS. With this understanding, users can overlay the Impact Score with performance metrics such as sentiment to better identify and prioritize high opportunity areas for improvement that if addressed will most improve NPS. Identifying these high opportunity areas of impact ensures the business is making improvement investments in the areas that matter most to customers.
How to Implement
To use these features, users will choose the desired data field for measuring impact – such as topics, taxonomy labels, or a structured question. Users will then select the NPS data field and apply the “NPS Impact” aggregation to the field. Users will select the scatter plot widget and modify the settings to change the origin of the x and y axis.
Sorting Table Widgets by % Change
Quickly focus on attributes with greatest or least % change
In this release, Stratifyd has added the ability in the editor to sort % change columns in a table by highest or lowest % change. This will give users the ability to more quickly focus in on attributes with the most or least movement over a specified time period. For example, users can now quickly see in a table which topics increase most by volume month over month.
Establish notifications when changes in client data meet specified conditions
Stratifyd is introducing the ability enable notifications when certain data conditions, as specified by the user, are met. This feature will allow the user to select what to listen for, how often to be notified of changes, and the type of notification, such an email notification.
Stratifyd knows that our clients have limited time and resources. It is not realistic to monitor and identify changes in data or new data insights around the clock. By building Listen Actions, Stratifyd is enabling our clients to automate the listening and notification process saving valuable time and resources. Our goal is to help our clients spend less time monitoring data and more time improving the business.
How to Implement
To use this feature, users will set up a Listen Action in their dashboard under a new section in the right-side panel navigation. When setting up the Listen Action, they will set the “When this happens” conditions. As an example, you may want to know when the volume for a topic (i.e. Login Issues) changes by greater than 10%. The user will specify a frequency for notifications, such as daily, weekly, monthly, etc. Finally, the customer will choose an action when triggered to include either a notification/alert or task creation.