Living in Learning

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POINT-of-WORK: The Great Refocus On Change

Living in Learning

“GREAT” things are popping up lately like the Great Resignation, Great Retirement, and the Great Reshuffle as several examples. I am not swayed by the hype because these all point to one common denominator – Change…and the need to refocus on LEADING it. It is my opinion that we are seeing side-effects surface in the form.

Change 130
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POINT-of-WORK:   Step Away from the Stone

Living in Learning

A recent post on LinkedIn tripped my trigger this morning, and despite the urge to rant, I will try to be gentle. No guarantees. The question posted asked for advice for someone new coming into Learning & Development (L&D). Here is what percolated into this savory reply, and I should add, this reply is not.

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

Living in Learning

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.

Digital 130
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POINT-of-WORK:  The Great Convergence of Thought and Action

Living in Learning

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:  Throwing Good Money After Bad?

Living in Learning

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?

Pattern 130
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POINT-of-WORK:  Prescriptive Performance Support

Living in Learning

Purpose-built Artificial Intelligence (AI) represents a bridge between high data volumes and actionable design attributes. Digging into the data will give us visibility to the things listed above and at the individual level. The result is the creation of Prescriptive Performance Support that is data-driven workflow instruction to the individual worker in the workflow and moment of need.

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POINT-of-WORK:  Using an Alignment Discovery Cascade for Pre-Design Reconnaissance

Living in Learning

The key is consistency of Discovery from the top of the organizational hierarchy to the bottom. Comparing results of a cascade down through the hierarchy provides source data that can facilitate an Alignment Conversation from dependable, validated reconnaissance. Nobody dies if we neglect to negotiate a discovery cascade, but how many precious hours and resources do we spend to build an ineffective one-size-fits-all solution?

Design 130