A mobile banking app's onboarding funnel needs a step-conversion breakdown for the weekly product review. You're given step-level user counts:
Build a pandas DataFrame with one row per step and these columns: step_name, users, step_conv_pct (conversion from the previous step, 1.0 for the first step), dropoff_pct (1 − step_conv_pct), and overall_conv_pct (conversion relative to the first step).
Round all rate columns to 4 decimal places. Assign the DataFrame to result.
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