Product design question
Build an attendance tracking system for NGO volunteers.
- Product design
- Medium
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What this question tests
Tests product design for an operational, low tech context: building something usable by NGO staff and volunteers with limited resources.
How to approach it
- Define the users: NGO coordinators tracking who showed up, and volunteers who may have limited smartphone access or connectivity.
- Identify the core job: quickly logging attendance at events, often outdoors or in low connectivity areas, without heavy setup.
- Propose the simplest reliable mechanism, such as QR code check in with offline caching that syncs when connectivity returns.
- Address low resource constraints: the tool must work on cheap Android devices and require minimal training for volunteer coordinators.
- Define success: percentage of events with complete, accurate attendance records versus manual paper logs.
- Confirm with the interviewer whether this needs to integrate with an existing NGO CRM or volunteer database.
What a strong answer includes
- Chooses a low friction check in method, QR codes or a simple name search, over biometric or app heavy solutions given volunteer coordinators' limited tech comfort.
- Builds offline first with local caching, since NGO events often happen in areas with poor connectivity, syncing data once online.
- Proposes exporting attendance data in a simple format for grant reporting, since NGOs need attendance records to justify funding.
- Sets a practical success metric, for example percentage reduction in manual data entry time for coordinators after events.
Common mistakes
- Designing a feature rich system that assumes reliable internet and modern devices NGOs may not have.
- Ignoring the downstream need for attendance data in grant and donor reporting.
Likely follow-up questions
- How would you handle a volunteer who does not have a smartphone at all?
- What would you build first if you only had one sprint?
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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