Mental Model Posts ‘Maximal vs. Optimal’

How to Avoid Vanity Metrics: Getting Under the Hood of Business


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Most organizations have analysts reviewing financial and operational information on a regular basis – the objective being to gain some kind of meaning from information, and to capture that meaning with a metric or metrics.  Analysts are generally providing descriptive information (telling us how we’ve done) or predictive information (telling us how we suspect we will do).

But many commonly used metrics don’t provide any actionable insight.  In other words, they’re just for show.  These are called vanity metrics.  Other times metrics don’t properly measure the underlying data, potentially resulting in what only appears to be a valid metric on the surface.  This is called an Isomorphism.

A metric is only as valuable as its ability to decipher underlying data.  When metrics are properly developed and implemented, they become meaningful because they capture the drivers that lead to the behaviors and decisions desired.

A great resource for understanding metrics is the book Lean Analytics.  Although geared to start-ups, the logic used is widely applicable to organizations large and small.  You will find much of this logic in the following paragraphs.  Read More »