A/B Test Scenario -> A Blitz Case Study

The Partner Availability Test

Cab apps show how many cars are nearby before you book. Checkout for same-day delivery shows nothing about whether the order can move fast. This is the test for whether that same signal earns trust here too.

This project shows how I'd turn a product gap into a real A/B test — not just the idea, but a hypothesis worth shipping.

Metric this moves: Checkout completion rate

9:41

How to read this: toggle Before / Improved above, then click through each flow's three screens with the arrows or dots. On the Improved checkout screen, try the low-supply preview in the panel to see when the widget is designed to disappear.

This prototype is the visual half of the test plan. The hypothesis, primary metric, and guardrail live in the panel on the checkout screen, which is the one screen this test would actually ship to half of Blitz's checkout traffic.