Designing Instagram Search Around User Intents and Content Types
Company: Zepto
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
Design the search experience inside Instagram: what people can look for, and how they find it.
```hint Start from what people are looking for
People open Instagram search with very different intents: finding a specific person, exploring a topic, finding a place to eat, or tracking down a reel they saw last week. List those intents first, because they decide what the results page has to show.
```
### Clarifying Questions
- Is this a redesign of Instagram's existing search, or a new kind of search, such as keyword search across posts and reels?
- Which outcome matters most: finding people and accounts, discovering content, or finding businesses, places and products?
- Which users come first: casual users looking for friends, creators who want to be found, or businesses?
- Should search cover what is inside content (spoken words, text on screen, audio) or only names, captions and hashtags?
### What a Strong Answer Covers
- The search intents and the user segments behind them, with a chosen focus and the reason for it.
- Prioritized pain points tied to those intents.
- The design of query entry, result types and ranking, including how accounts, posts, reels, audio and places are balanced on one page.
- Safety, integrity and privacy: harmful or sensitive queries, spam, and content from private accounts.
- A search-quality success metric with guardrails.
### Follow-up Questions
- How should search behave for a sensitive query, such as one about self-harm or extreme dieting?
- How would you tell whether better search adds to total engagement or only moves time away from the feed?
- How would search need to change for a business trying to find creators to partner with?
Overview: A product design question asking how to design search for Instagram. It tests mapping search intents such as finding people, re-finding a reel or exploring a topic, prioritizing pain points, shaping the results page and ranking, handling safety for sensitive queries, and defining a search success metric with guardrails.