Challenge the Way You’re Measuring Data
Data
can provide enlightening information to a company’s leaders, guiding
their decisions. But measurements can be misleading, which will push you
in the wrong direction. Identifying whether your data can be trusted
isn’t as difficult as you may think. Start by clarifying what you want
to know. If you are timing a multistep process, for example, do you want
to know how long each individual step is or how long the entire process
is? Both have valid uses but are quite different. Then see how closely
the measurements align with what you really want to know. Strive to
distinguish “pretty close” from “a good-enough indicator” from “not what
I had in mind.” You may have to settle for a less-than-perfect
measurement, but at least you’ll know exactly what it is you are
settling on. And be sure to try the “smell test.” When results just
don’t seem right, dig deeper.
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