Engineering KPI Reorganization 
Growth Hacker
SEPTEMBER 30, 2022
While for most departments, this basically means analyzing historical data, reverse engineering results, gathering learnings and scaling what's already known inside their scope of actuation. it's totally different for a growth team.
Harvard Business Review
FEBRUARY 28, 2017
Many high-performance organizations remain passionate about Vilfredo Pareto, the incisive Italian engineer and economist. Managers and their data science teams must reorganize themselves around extreme Pareto potentials and possibilities, not just more and better data. come from 20% of causes (products, employees, etc).
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