Diagnostic Analytics: The Why Behind The What

Assessing a training initiative requires rigorous, repeatable processes. Anyone can look at a chart and find a trend line, but can you consistently tell that you’re looking at the right charts? And more than that, can you consistently describe why things happened?

Developing a robust system for isolating and reporting on cause and effect in business operations is called diagnostic analytics. By combining data management practices with statistical techniques, diagnostic analytics can take training metrics from being a description of past events towards being an informative explanation of why those events occurred.

Most training teams already collect reams of data about exactly what happened in their operations. These static training metrics, called descriptive analytics, are an essential foundation. But mastering diagnostic analytics in the training context gives you a powerful tool for identifying areas for improvement and continuously optimizing your operations. Let’s take a look at three specific elements of an L&D diagnostic analytics strategy, and then learn how that strategy can be realized.

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