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Insight Explorer: Turn Insight Into Action

Updated: May 17, 2022

All of this rich conversational data we gather and analyze is of no value if you can’t rapidly make sense of it, decided what action to take, and get to work! This part of the product is heavily influenced by the decade + I spent at NSA analyzing data critical to national security.

Just like at NSA, we start with the BLUF, or Bottom Line Up Front. These are the insights that our AI has identified as being the most interesting or significant. They look like this:

  1. When asked about what keeps them from feeling appreciated, 80% of engineers in the Western region said they need opportunities to take on harder projects.

  2. When asked what was keeping them from executing their role, 70% of salaried employees in Boston with less than 3 years of experience said they need compute resources with GPUs.

These highlights set the stage to dig into the insights in greater detail with the end goal of building a story for decision makers to prioritize for action. After years of doing this work and talking with analysts, we found the three critical capabilities are:

  1. Survey the Environment

    1. Rapidly understand the landscape of the insights you collected

  2. Identify High-Value Insights

    1. Figure out what is most important

  3. Approval for Action

    1. Build a story to share and get buy-in for action

Our Insight Explorer does this by presenting the topic clusters for each question in a hierarchical structure using charts that are instantly interpreted, form follows function here. This allows users to survey the high level topics, then dig into a topic to see the more granular sub topics. Finally, when it comes time to find some quotes to complete that story, you can open up a sub-topic to see all of the verbatim responses.

As you would hope there are also filters based on the user profile elements gathered like role, organization, or location. While we gather these profile elements in conversation, our AI has taken the time to clean them up so if one user says they are “an analyst”, and another says they “analyze data”, they both appear as analysts.

As with any great interface, Insight Explorer is simple to use and intuitive, and you are never more than two clicks away from verbatim user responses.

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