Product design question
Design an Instagram feature to help people find a restaurant.
- Meta
- Product design
- Medium
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What this question tests
Product design leveraging a visual, social platform's unique strengths for local discovery.
How to approach it
- Define the user: someone scrolling Instagram who sees appealing food content and wants to find and visit that restaurant easily.
- Identify the pain point: visually discovering a restaurant on Instagram currently requires manually searching elsewhere to find details and book.
- Prioritize closing the loop from visual discovery to action, since Instagram's core strength is visual, in-the-moment inspiration.
- Design a feature: tappable location tags on food posts and Reels that surface a restaurant card with menu highlights, hours, and a reservation link.
- Partner with reservation and delivery platforms for the actual booking/ordering action rather than building that infrastructure.
- Define success metrics: tap-through rate on restaurant tags and completed reservations or orders attributed to Instagram.
What a strong answer includes
- Anchors the feature in Instagram's actual strength, visual inspiration, rather than proposing a generic restaurant finder.
- Proposes closing the discovery-to-action loop directly in-app via partnerships, avoiding the cost of building booking infrastructure from scratch.
- Gives an illustrative metric, e.g. 15% of restaurant-tag taps leading to a reservation click, marked as an assumption.
- Notes the business upside: this creates a new ad and partnership revenue surface for local restaurant discovery.
Common mistakes
- Proposing to build a full restaurant booking system in-house instead of leveraging partnerships.
- Ignoring that visual inspiration, not comprehensive search, is Instagram's genuine strength here.
Likely follow-up questions
- Which partners would you integrate with first for booking or ordering?
- How would you handle restaurants with no Instagram presence?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop