Dr Karl Kruszelnicki discovered that you’re extra prone to have stomach button lint in the event you’re male, older, bushy, and have an “innie”.
That discovery earned him a 2002 Ig Nobel Prize, becoming a member of the celebrated ranks of the individuals who decided that dropped toast has an inherent tendency to land butter-side down, and others who discovered that you get extra milk from named cows*.
Experiments will not be just for probably the most severe and world altering purposes. You don’t even must be a scientist to attempt one thing and see what occurs. There’s all the time extra to study, and in our working lives all of us function below an entire slate of assumptions and views.
We maintain beliefs about what works and what doesn’t, why issues are the way in which they’re, and what would occur if issues had been finished in a different way.
A few of these beliefs are nicely based, and save quite a lot of the pointless time and problem of adjusting a working system. Others had been true at one time, however could not be correct. Some could have by no means been true in any respect.
What experiments might your crew run to check a few of these assumptions?
Does responding to folks inside 40 minutes actually enhance satisfaction in comparison with a 70 minute response?
Would staffing up your chat channel extra typically cut back your electronic mail assist, or does it create new demand?
Is an hour every week out of the queue to create documentation kind of efficient than a full half-day as soon as a month?
Might AI instruments allow you to write extra rapidly with out stripping your persona out?
Might punctuation maybe produce peace of thoughts?
You don’t have to strictly management each variable. Simply have an concept, and discover a low-cost, low-risk option to attempt it. It’d work, it’d fail. You may study one thing you by no means anticipated.
Change is inevitable, so that you may as nicely be the particular person shaping its route.
* I’ve but to search out analysis on the desert journey capabilities of named vs unnamed horses.
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