Product design question
How would you build a job portal for poor people who migrate from villages to cities?
- Flipkart
- Product design
- Medium
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What this question tests
Tests product design for a low-literacy, low-connectivity, economically vulnerable user segment, very different from a typical job portal.
How to approach it
- Segment on informal-sector workers, construction, domestic help, drivers, migrating to cities, often with limited smartphone literacy and intermittent data.
- Identify pain points: can't read or write complex job listings, vulnerable to exploitative or fraudulent job offers, and lack formal credentials to prove reliability.
- Design a voice-based job search and application interface in local languages, simplified icon-based navigation, and a verified-employer program with peer ratings for informal employers.
- Prioritize scam and fraud protection first, since exploitation risk is the top real-world harm for this vulnerable segment.
- Define success as successful job placements, not just listings viewed, and a low fraud or scam report rate.
What a strong answer includes
- Designs specifically for low literacy, voice-first and icon-based navigation, rather than a text-heavy portal with minor tweaks.
- Centers fraud protection given this segment's real vulnerability to exploitative recruiters, a distinguishing design priority.
- Ties success to actual job placements rather than surface engagement like listing views.
Common mistakes
- Designing a standard text-based job portal with minor simplifications, ignoring literacy and language barriers.
- Ignoring the real risk of exploitative or fraudulent job postings targeting this vulnerable segment.
Likely follow-up questions
- How would you verify employers to prevent scams without adding too much friction for legitimate small employers?
- How would you reach this segment for user research given limited digital access?
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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