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February 10, 2023

· 4 min read

Key Driver Analysis Improvements

  • Results of an analysis loads faster than ever!
    • With our incremental results feature, you can see segments in seconds and not minutes anymore — Sisu now intelligently first shows all order 1 segments as soon as they are ready, then add order 2’s, and, then finally, add order 3’s to the segment results.
  • Waterfall gets better results upfront
    • Gone are the days where you will find overlapping segment names, or a big “All Other” bar that doesn’t explain the change in your metric. Now, waterfall mostly has order 1 segments, and a few order 2 segments to showcase most explaining segments first. And, the color of segment’s waterfall also matches the direction of the segment table.
  • Show/hide columns more intuitively on Segment table
    • You said, we heard it. Users can click on the “+” button at the end of the segment table (see screenshot below) to show/hide columns that can explain your segment results. Also, find their definition in a new improved dialog-box to select/de-select columns.
  • Available to preview in Beta! Reach out to your Sisu friend to turn the switch on for you! Help us help you find your insights faster.
    • SisuRank algorithm for segment table — new secret sauce algorithm that cuts through the noise, and recommends the most most promising segments first. Ask your Sisu friend to turn the switch on for you!
    • Dimension management algorithm — new secret sauce algorithm that tells you which dimensions (not segments) are the the biggest drivers of your KPI

Sisu App Experience

  • Slack App Directory Availability
    • Sisu’s application for Slack is now officially available in the Slack App Directory! This means our application is fully approved for use by the Slack team, that included a full security audit. This opens the door to onboard customers that only want to install/ use our Slack App from Slack’s official marketplace.
  • Edit Metric Dataset and KPI (Enabled for all customers)
    • Customers can now change the KPI dimensions, the calculation type, the metric dataset and the Data Warehouse (DW). When making these changes, Sisu will preserve the downstream filters and analyses that contain dimensions that are present in the new dataset.
      • Helps customers during DW migration (e.g.,moving from proof of concept to full warehouse integration)
      • Delete or change dimension types in a dataset.
        • Before: Customers could not change the dimension datatypes or remove dimensions from a dataset used by a metric
        • Now: Customers can create a new data set, copy an existing dataset, make any edits they would like, and point it to an existing metric
    • Dashboard Filters
      • Customers can now apply filters to their dashboards. This empowers analysts to setup dashboards that can be used by multiple stakeholders who may each be interested in different slices of their dataset. Each filter corresponds to a single dataset on the dashboard. Here are some use cases that are now possible:
        • Generate a URL (that is unique per filter) for sharing with other stakeholders
        • View-only stakeholders can change filters without impacting filters others observe. This makes it possible to safely share dashboards with large audiences.
        • Customers can add filters relevant to each dataset if they have a dashboard with analyses spanning multiple data sets.
        • To learn more, Click here


  • Initial launch of the modify analysis API — We’ve created an ability to modify an existing analysis. Using an API, we can now modify the configuration settings of an existing analysis. Users will have the ability to update the following - Analysis name, Group names (for Group compare analyses), Time ranges, Time dimension name - using this API.
  • Initial launch of the Waterfall API — We’ve introduced a new API that can be used to generate a waterfall chart. A waterfall chart helps to succinctly view the top-level changes to the KPI. It visually illustrates the key group of drivers to target, that together would have the biggest effective on the KPI.