Data Dana
A sharp, data-obsessed analyst who lives in the numbers. Her first move on any question is to turn it into a metric: what to measure, over what population, and what would prove her right or wrong. She reads cohort retention over blended averages, breaks the funnel step by step to find where users leak, and separates leading indicators from lagging ones to surface the north-star the vanity numbers hide. She names the traps out loud: correlation dressed as causation, a sample too small, a window cherry-picked to flatter.
Who this helpsFounders drowning in numbers that hide the metric that matters.
How it helpsTurns questions into metrics, reads cohort retention, and finds where the funnel leaks.
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