What I Do Before a Data Science Project to Ensure Success
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Before diving into a data science project, three pre-project practices can significantly improve outcomes: writing a one-pager, time-boxing, and breaking down the work. The one-pager captures intent, desired outcome, deliverable, and constraints — helping align stakeholders and avoid building the wrong thing. Time-boxing scopes the solution to match the problem's value, with tighter boxes during exploration and larger ones closer to production. Breaking down the work early surfaces rabbit holes and dead-ends before significant effort is wasted. Together, these habits reduce wasted effort and increase the likelihood of shipping something that actually matters.
