Amazon Cart Page Success Metrics: North Star, Guardrails and Dashboard Layout
Company: Amazon
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
You are the product manager who owns the shopping cart page on Amazon: the page where shoppers review what they have added, change quantities, remove items or save them for later, and move on to checkout. You are asked to build a dashboard that shows whether the cart is succeeding. What would you put on it, and how would you organize it?
```hint Follow one carted item
Decide what the cart is for, both for the shopper and for Amazon, before you pick any numbers. Then trace a single item from the moment it is added: it can be bought, parked for later or dropped. Which of those outcomes count as success, and over what time window?
```
### Clarifying Questions
- Does the scope stop at the cart page, or should it also cover add-to-cart actions on product pages and the checkout steps after the shopper leaves the cart?
- Which surfaces should be included and broken out: desktop web, mobile web and the shopping app?
- Who will use the dashboard most: the cart team watching day-to-day health, or leadership reviewing the business weekly?
- Should the dashboard also report on experiments running on the cart page, or only on steady-state performance?
### What a Strong Answer Covers
- The cart's purpose for shoppers and for the business, turned into a north-star metric the cart team can actually move.
- A metric tree or funnel from adding an item to placing the order, with an input metric for each step.
- Guardrails that would catch a gain bought at the shopper's or the business's expense.
- A dashboard layout: views for different audiences, segment cuts, time granularity and alerts.
- Precise definitions for slippery metrics, and how the team would use the dashboard to diagnose a change.
### Follow-up Questions
- Items added to the cart rise while your north-star metric falls in the same week. How would you use the dashboard to find out why?
- Many shoppers leave items in the cart for days as a reminder list. How does that change the way you define and read abandonment?
- A recommendations module added to the cart page raises items added but lowers checkout starts. Would you call it a success?
Overview: A product manager metrics prompt about Amazon's shopping cart page: define what success means for the cart and design a dashboard to track it. It tests picking a north-star metric, building a funnel and metric tree, setting guardrails, and organizing views, segments and alerts so the team can spot and diagnose changes.