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Point of Work Assessment

POINT-of-WORK:  Navigating Digital Transformation with Transformational Change

Going back to the research showing most (84%) of Digital Transformations fail, I have to ask, “Would we have been more successful if we treated the initiative a Workforce Transformation?” or replace “Workforce” with “People” if you like. The human component of Transformational Change is the wild card. Dynamic roles and myriad tasks create an avalanche of data points that confront any sense of easy Discovery. This is even more imposing when we need to be looking for patterns of failure at the role and step level. That is why “At least 90% of new enterprise apps will insert AI technology into their processes and products by 2025.” (IDC)

Technology does not fail…people do. The transformation is digital, no doubt about it, but if we neglect the transformational shifts at the human level and neglect to address performance restrainers in the workflow at Points-of-Work, we fail the people.

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Point of Work Assessment

POINT-of-WORK:  The Great Convergence of Thought and Action

AI-driven data convergence enables another collateral convergence of informed learning and support design with multi-datapoint granularity or worker performance results at Point-of-Work. What L&D team would not want to know who needs help…when and where in the workflow they need it…visibility to investigate why they need it…and what the solution should be?

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Point of Work Assessment

POINT-of-WORK:  Throwing Good Money After Bad?

When a worker leaves the organization, some companies complete routine exit interviews. Then what happens to those exit interviews? Are the interviews HR checkbox events to be filed away in a personnel folder? Are any actionable data points leveraged outside of HR to affect change? Does this practice represent a pattern that we do not fully address? This leads me to some potentially radical thoughts…