2010
Welcome to the McBassi blog!
We’re thrilled to introduce you to our new blog. It will make it possible for the McBassi team to share ideas and content with you in a more timely, interactive, and informal manner. You’ll see multiple blog updates in a typical week.
We expect it to contain a wide variety of information that (we hope) will be of interest to our readers. Subjects may range from our thoughts on the latest corporate news to the introduction of a new McBassi white paper; from regular updates on our book project to interesting tidbits we’ve run across and thought we’d share.
Above all else, we’re hoping that we’ll be able to generate some insightful, spirited back-and-forth exchanges with (and among) our readers. We strongly encourage you to use the Comments feature of the blog whenever you have a thought to add to one of our posts or to an on-going discussion. Learning is at the core of what we do at McBassi, and we’re hoping this will serve as a vehicle that enables all of us – within and outside McBassi – to learn from one another in a fun, free-flowing environment.
Again, welcome!
Tagged introduction
Mike EcholsFebruary 23, 2010 at 2:49 pm
Over the past two years organizations have charged ahead with massive downsizing (thus 10% unemployment), cuts in capital expenditures and reductions in human capital investments including training. This mad dash to cut costs is only one half of the real metric we should be looking at. For lack of a more readily accepted term, I have started to focus on productivity. Productivity includes outputs as well as inputs (costs).
One example is the dash to e-learning. Don’t get me wrong, Bellevue University aggressively uses online cohort learning to deliver educational content. We believe in it and we are good at it. What is not substantiated with output measurements is the blind contention that substituting e-learning for instructor led training produces better learning results. We know the substitution reduces costs, but as is the case in many learning interventions, the outcome half of the productivity is without objective data.
For learning to advance and make compelling contribution to the key enterprise performance parameters, outcomes have to be a part of the evaluation in addition to inputs (costs).