Root-Cause a 10% Decline in Instagram Content Impressions
Company: Flipkart
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
You are a product manager at Instagram, and impressions are down 10%. How would you figure out why?
```hint Break the metric apart
Before listing causes, write impressions as a chain of simpler quantities and find the link that moved.
```
### Clarifying Questions
- How is an impression counted: content loaded on screen, or on screen for a minimum time, and do repeat views of the same item count again?
- Does the figure cover organic content, ads or both, and across which surfaces (Feed, Stories, Reels, Explore)?
- Did the drop happen in a single day or build over weeks, and against which baseline: last week, last month or the same period last year?
- Have daily active users and time spent moved too, or only impressions?
### What a Strong Answer Covers
- Confirming the definition, the baseline and data integrity before diagnosing
- A decomposition of impressions into users, sessions, browsing time and items shown, to locate the factor that moved
- Segmentation by surface, content format, platform and app version, region and user cohort
- Hypotheses across demand, content supply, ranking and ad load, performance and logging, each paired with the evidence that would confirm it
- The business impact (ad inventory, creator reach) and a response plan once the cause is known
### Follow-up Questions
- Impressions are down 10% but daily active users and time spent are flat. What does that point to, and what would you check first?
- Reels impressions are up while Feed impressions fell by more. Is that a problem, and how would you decide?
- If the cause turns out to be a deliberate change, such as stricter filtering of low-quality content, how would you decide whether to keep it?
Overview: A metric-diagnosis question in which an Instagram product manager must explain a 10% drop in impressions. It tests validating the metric and its logging, breaking impressions into factors, segmenting by surface and platform, ranking hypotheses about demand, supply, ranking and performance, and planning a response.