Choosing your metrics, KPIs, etc...

But ambiguity, taste, meaning, value, these remain hard to attain within the hierarchy of verifiability. “Intelligence” races ahead wherever the rewards are liquid and the outcome is easy to check, but it lags at the edges: in murky context, slow feedback, or spaces where the answer is more felt than measured.

While it’s tempting to believe a model... See more

From Andy Barnes: The idea that all of the world should be measured in dollars to stockholders is actually a relatively new idea. It used to be that we thought that businesses had their purpose. Your purpose was to be making newspapers or fountain pens or whatever. And now we act as though the only purpose of a... See more

Value capture occurs when an agent’s values are rich and subtle; they enter a social environment that presents simplified — typically quantified — versions of those val-ues; and those simplified articulations come to dominate their practical reasoning. Examples include becoming motivated by FitBit’s step counts, Twitter Likes and Re-tweets,... See more

We believe that being data-informed comes down to internalizing a set of values. These are simple, few, yet exceedingly powerful:

1. Conviction around a purpose  rather than searching for meaning in numbers


2. Setting verifiable goals  rather than vague aspirations


3. Company-wide familiarity with metrics  rather than outsourcing to “data people”


4. Active

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There are things that can be measured. There are things that are worth measuring. But what can be measured is not always what is worth measuring; what gets measured may have no relationship to what we really want to know. The costs of measuring may be greater than the benefits. The things that get measured may draw effort away from the things we... See more