ESPN.com Traffic Down 30%: Diagnose the Cause and Decide What to Do
Company: Microsoft
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
You are the product manager for ESPN's website, and web traffic has fallen by 30%. What would you do?
```hint Pin the baseline first
Sports traffic rises and falls with league seasons and big events. Decide what period the 30% is measured against, and confirm the data is right, before you split the drop by where visitors come from.
```
### Clarifying Questions
- Which metric fell 30% (visits, unique visitors or page views), and against what baseline: last week, last month, or the same weeks last year?
- Did traffic drop overnight, or slide over several weeks?
- Is the fall on desktop, mobile web or both, and did usage of the ESPN app move at the same time?
- Is it worldwide, or concentrated in particular countries?
### What a Strong Answer Covers
- Confirming the drop is real: tracking, metric definitions, bot filtering, and a baseline that respects the sports calendar.
- A structured breakdown by traffic source, platform, geography, content area and visitor type that locates where the lost visits went.
- Internal causes such as releases, redesigns, search-optimization or paywall changes, separated from external ones such as search and social platform changes, the season, competitors and a shift to the app.
- Prioritized actions for each likely finding, who needs to be involved, and how recovery is tracked.
- Whether the fall actually hurts the business, judged by ad revenue and ESPN's total reach across web and app.
### Follow-up Questions
- You find that the whole drop is in visits from search, starting on a single day. What do you check next?
- Web visits are down 30%, but app sessions rose by a similar amount. Do you treat this as a problem?
- Leadership wants the traffic back by next quarter. What would you commit to, and what would you refuse to promise?
Overview: A product analytics case in which ESPN's website loses 30% of its traffic and the product manager must respond. It tests validating the data, choosing a baseline that fits the sports calendar, segmenting the drop by source, platform and content, separating internal from external causes, and turning the diagnosis into action.