Delivery Tip

STAR Summary

Situation

I wanted to know which shifts and neighborhoods lead to better tips.

Task

Owned the end-to-end build, from implementation through the final deliverable.

Action

• Built a geospatial heat map and pivot filters from 1,251 deliveries.
• Compared tips by daypart, zone, and order size.

Result

• Mid-week shifts tended to have higher tips per delivery, while Friday evenings tended to have higher tips per hour.
• Neighborhood and housing type differences explained a lot of the variation in this dataset.
• Used the dashboard to make better shift and zone choices over time.