How Do Geo and Switchback Designs Handle Interference?
The Interference Problem
In a two-sided marketplace, treating some buyers but not others in the same city affects supply availability for all. If treatment buyers get faster matching, they consume driver supply that control buyers would have used. User-level effects spill over, biasing your estimates.
Social networks have similar issues: if treatment users share more, control users see more content. The control experience is contaminated by treatment effects.
Geo-Cluster Design
Randomize entire cities or regions. Chicago gets treatment, Detroit gets control. All users in a region have same experience, eliminating within-region spillover. Trade-off: you need many regions for statistical power. With 50 cities, you have 25 units per arm - high variance.
Switchback Design
Alternate treatment and control over time periods (hours, days) within each region. 9-10am treatment, 10-11am control, etc. This multiplies effective sample by number of time periods. Trade-off: carryover effects between periods can contaminate results.