This past week, Yet headed down to Austin to talk analytics and the Experience Graph at SXSW. The Experience Graph is a key component of the work we do and the human capital analytics tools we've built for the workforce. Here's a quick overview of how Yet provides insight into the value of the Experience Graph.
Last summer, Garry Golden wrote a piece over at TechCrunch that dug in to the value of the Experience Graph:
By connecting data points in an experience graph, a more complete narrative emerges about the ways we learn and build skills over time, and how this growth leads to real-world outcomes.
Garry's point here is that we now have access to data tools that can show a much deeper and more subtle view of our experiences. These tools can also help us show how seemingly unrelated experiences can contribute to real-world outcomes. After all, we develop skills in all kinds of different formal and informal ways, and not just in the traditional L&D sense. Analytics tools built for the Experience Graph are tools that help us understand the experience – the journey – of our people.
Yet's vision for the Experience Graph is grounded in the Experience API (xAPI), designed to capture micro data that describes events and experiences at the atomic level. You can see the Experience Graph in the analytics interface of our LRS.
The beauty of the network display of the Experience Graph is that while it provides a high-level view ideal for discovering outliers and emergent patterns, each simple node in the graph is backed by highly specific event and context data including that most critical indicator: time. The result is the ability to trace a person's journey through experiences over time.
With Yet's visualization suite, we can look at the same data organized in different ways in order to discover other types of patterns in the data.
Organized by activity type, the Experience Graph provides a system of record of engagement across our workforce.
The Experience Graph also provides us with the immediate identification of outliers among our employees.
Querying the Experience Graph, we immediately see who our high performers are.
Experience Intelligence provides an organization with the ability to identify patterns of success as well as patterns of low performance. And as Yet Analytics has recently noted, we are now working on deploying the ability to bring in macro data for context and to run predictive models to identify what the key factors are in optimizing outcomes.
But the first step to getting value out of data is in leveraging xAPI to get that data into one place – into the Experience Graph.
Interested in learning more about the Experience Graph?