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Too often in L&D we execute first and then seek to measure the impact when we’re finished. This leaves us scrambling as we try to find and makes sense of the right information after we’re done and frequently leaves us shaking our heads. Add to that, technology often masks itself as a turnkey solution to help us achieve the measurement we seek. Unfortunately, that’s never the case
However, when you start with the end in mind, you can map out the desired outcomes and measurements you’ll need to achieve along the way to ensure you’re on the right track and can demonstrate the value of the work you do. Once that roadmap exists, you can augment the map with technology to improve the effiency, effectiveness, and scale at which you can measure.
Listen as Kevin M. Yates, Fact Finder for L&D, and I talk about how you manage to pull all of this together and slay the mythical learning measurement dragon.
By Christopher Lind4.9
1414 ratings
Too often in L&D we execute first and then seek to measure the impact when we’re finished. This leaves us scrambling as we try to find and makes sense of the right information after we’re done and frequently leaves us shaking our heads. Add to that, technology often masks itself as a turnkey solution to help us achieve the measurement we seek. Unfortunately, that’s never the case
However, when you start with the end in mind, you can map out the desired outcomes and measurements you’ll need to achieve along the way to ensure you’re on the right track and can demonstrate the value of the work you do. Once that roadmap exists, you can augment the map with technology to improve the effiency, effectiveness, and scale at which you can measure.
Listen as Kevin M. Yates, Fact Finder for L&D, and I talk about how you manage to pull all of this together and slay the mythical learning measurement dragon.

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