Wrong but useful. Working @Twitter, tweeting about data science and people management.
"Wait, it's all her views?" 
"Always has been"
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If you've ever budgeted to save money, or tracked your daily footsteps to become more active, congratulations! You've taken something it's easy to make excuses about and forced some objectivity into it. You're keeping yourself honest, which is what being data driven is all about.
If you want to be data driven, pick a way to measure something, apply the measurement regularly, and keep all the measurements in the same place. Then look at the trend to see if the measurement is consistently moving in the direction you expect. That's really all it takes.
Usually the problem is those steps are taken care of in different functional groups. Need decent leadership to align steps. Ppl applying measurements very rarely have data warehouse knowledge for example.
In my experience, this depends somewhat on company size, but you're absolutely right that alignment is key. If an engineer instrumenting a new feature doesn't know where the event logs are going or why they matter, the odds of them doing that instrumentation accurately are slim
Good advice on being #datadriven.
I'd say a good second step is to record what you're doing to try and improve the measurement. After a few dozen measurements see if you can find any patterns (i.e., when we do x we get an improvement of y)
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