Product design question
Design a Membership Program for a non-profit.
- Product design
- Medium
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What this question tests
Tests product design for mission driven organizations: balancing donor engagement, retention, and the non profit's resource constraints.
How to approach it
- Define the member segment: recurring donors who want ongoing connection to the cause, not just a one time transaction.
- Identify their needs: visible impact of their contribution, a sense of community, and recognition for sustained giving.
- Propose membership tiers based on giving level, each with tangible benefits like impact reports or early access to programs.
- Address the non profit's resource constraint: benefits should be low cost to deliver, like digital recognition or impact updates, not expensive perks.
- Define success: recurring donor retention rate and average donation lifetime value.
- Confirm with the interviewer whether the non profit is local or has a broader, less resource rich base.
What a strong answer includes
- Grounds member benefits in showing tangible impact, like a personalized report on what the member's donation funded, since donors want to see outcomes.
- Designs tiers that scale with giving without requiring expensive fulfillment, favoring digital recognition and access over costly physical perks.
- Proposes a community element, such as member only updates or events, to build emotional connection beyond the transaction.
- Sets a measurable goal, for example a stated improvement in recurring donor retention rate compared to one time donors.
Common mistakes
- Proposing expensive physical perks that a resource constrained non profit cannot sustainably fund.
- Ignoring the emotional and impact visibility needs that actually drive donor retention.
Likely follow-up questions
- How would you keep membership benefits low cost while still feeling valuable?
- How would you measure whether a member feels genuinely connected to the cause?
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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