Friday, October 26, 2018

Why It Doesn’t Always Pay to Be Decisive about Making Decisions

strategy+business, October 26, 2018

by Theodore Kinni

Banal bromides are my pet peeve. They all sound like the wisdom of the ages, until you think about them for a few seconds and discover they don’t make any sense at all. Consider this one, which popped up in my LinkedIn feed the other day: “The best time to make a decision is before you have to.”

This is nonsensical, if not downright dangerous. Why would you make a decision before you have to?

For starters, if you wait, you may find that you don’t need to make the decision at all. I once worked closely with a leader whom I admired and respected, except for what I thought was a bad habit of dithering with decision requests. He wouldn’t offer rulings on even simple matters. It took me a while to realize that the decisions he sidestepped resolved themselves — either something changed that eliminated the need for the decision or it was made in a collegial way by the people directly involved. It was less a bad habit than a refusal to micromanage.




Photograph by Westend61

Let’s assume that eventually you will have to make an important decision, though. If you make it before you have to, you’re betting that nothing is going to change before the time comes to act on it. Given the speed of change these days, what are the odds of collecting on that bet?

If, as is likely, conditions do evolve, you’ll need to reconsider your decision. That means at least some wasted work. But worse, it opens you up to a cognitive heuristic that psychologists Daniel Kahneman and Amos Tversky named “anchoring-and-adjustment.” They found that when people have an anchor in mind — a numerical estimate, for instance — and then receive new information that requires rethinking it, the adjusted estimate tends to hew too closely to the anchor. In other words, if you make a decision before you have to, and then the conditions on which it was based change, you probably will not make the proper adjustments. The result: a suboptimal decision.

What should you do instead? Read the rest here

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