By Chally Kacelnik
One of my favourite things to do in my role at LKS Quaero is to put together program review reports. These are about documenting and reflecting on the impact of a given leadership development program. There are often hundreds of data points that go into these, qualitative and quantitative – surveys, photos, case studies, quotes. It takes a lot of time to go through all of this, conduct the analysis, and distil the final report.
I was working through a particularly large spreadsheet a few months ago, containing numeric survey data and individual reflections from program participants, when I had a thought: I could probably get AI to run this analysis, pull out the points to highlight, generate graphs. And I probably could have saved myself and LKS Quaero a fair bit of time doing that, edits and accuracy checks notwithstanding. It would have been the more efficient choice.
Leaving aside questions about the social and environmental ethics of AI, and leaving aside questions of the quality of the final product I might have produced with assistance, there’s another reason I didn’t make that efficient choice. As I said, compiling these reports is one of my favourite things to do at work. Why rob myself of that joy?
Not only is it professionally satisfying for me to pull together the evidence of the impact of our leadership development programs for people and their organisations, but also I feel pride and inspiration from the narratives of our program participants building confidence in themselves, or making that incredible cost saving, or eliminating that high frequency high impact safety risk.
Sometimes things could be “better” if you make a change, but the cost benefit analysis doesn’t pan out. When you’re optimising at work, make choices that are truly optimal – including experientially.
At LKS Quaero, we help make work better. For more information, visit us at lksquaero.com or follow us on LinkedIn and Facebook.
