Product design question
Imagine you're a PM at Instagram. How would you design a product for finding recipes?
- Meta
- Product design
- Medium
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What this question tests
Product design for a discovery feature layered on a visual-first platform, checking you connect it to Instagram's actual content strengths.
How to approach it
- Clarify scope, standalone feature or integration with existing Reels and posts, and confirm the target user, home cooks looking for inspiration versus precise recipe seekers.
- List pain points: recipe content scattered across posts with no structured ingredient or step extraction, and difficulty saving or organizing found recipes for later use.
- Identify Instagram's advantage, a huge volume of existing food content and creators, which could be structured rather than requiring net-new content creation.
- Propose the design: an AI-assisted extraction of structured recipe data, ingredients and steps, from existing food Reels and posts, surfaced in a dedicated recipe discovery tab with save-to-collection functionality.
- Prioritize structuring existing content over asking creators to produce a new content format, since that leverages Instagram's current supply advantage immediately.
- Define success as recipe saves and post-save cook-through rate if trackable, confirming scope on whether shopping list integration is included.
What a strong answer includes
- Leverages Instagram's existing massive food content supply, extracting structure from what already exists rather than asking for a brand-new content format from creators.
- Proposes a concrete mechanism, AI-based ingredient and step extraction from video content, tied to a real technical approach rather than vague 'better recipe search'.
- Names a specific differentiator from dedicated recipe sites, the inspiration-driven discovery Instagram already excels at, layered with newly added structure and utility.
- Sets a measurable metric, recipe saves and later engagement with saved recipes, tied to whether the feature delivers lasting value beyond a single view.
Common mistakes
- Proposing a feature that requires creators to produce an entirely new content format, ignoring Instagram's existing supply advantage.
- Not addressing how recipe data would be structured or extracted from unstructured video and image content.
- Ignoring the save-and-return use case, which is central to how people actually use recipes.
Likely follow-up questions
- How would you handle inaccurate ingredient or step extraction from AI-parsed content?
- How would you measure whether users actually cooked a saved recipe, not just saved it?
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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