STAR Summary
- Situation
- I needed a Tableau dashboard that could compare delivery zones, earnings, timing, and tip patterns quickly enough to support shift decisions.
- Task
- Built the dataset and Tableau dashboard (data shaping, KPIs, and forecasting).
- Action
-
- Reshaped about 12,000 delivery records into a Tableau-ready dataset with consistent dates, zones, housing categories, and tip KPIs.
- Built map, distribution, filter, and 12-month forecast views for fast zone and timing comparison.
- Designed the dashboard around decisions: where to work, what patterns explain tips, and how demand might change.
- Result
-
- Reduced delivery decision review from roughly five minutes to about one minute during planning.
- Made zone, city, housing-type, tip-rate, and timing differences easier to compare in one view.
- Added forecasting so the dashboard supports planning instead of only retrospective review.
- Stack
- Tableau
- Status
- Live interactive demo
Demo
Use the Tableau dashboard to compare delivery zones, tips, and timing.
- Hover charts/maps to see exact values for the current filter state.
- Click marks to cross-filter other views and isolate a zone or time period.
- Use Tableau filters to narrow by date, city/zone, and other dimensions.
- Scroll to review distributions and the forecast section.
Links
Project Links
Notes
Built from delivery history; tip efficiency should be interpreted with zone and timing context rather than average tip alone.
