Product design question
How would you improve Coursera?
- Microsoft
- Product design
- Easy
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What this question tests
Product improvement fundamentals for an ed-tech platform: can you pick a real pain point (completion rates) over a list of feature ideas.
How to approach it
- Define the core problem in online learning generally: low course completion rates due to lack of accountability and momentum.
- State an assumption: Coursera's completion rate is likely well below 50% for free/audit learners, based on known MOOC industry patterns.
- Propose a fix: structured cohort-based pacing with light social accountability (peer check-ins, deadlines) rather than fully self-paced content.
- Consider a secondary lever: better content discovery/personalization so learners pick courses matching their actual goal and skill level.
- Prioritize completion over discovery, since a mismatched course is often the root cause of both problems.
- Define success: completion rate lift and downstream certificate/credential completion.
What a strong answer includes
- Targets completion rate, the best-known weakness of self-paced online courses, instead of a generic 'add more courses' answer.
- Proposes a concrete mechanism, light cohort pacing/accountability, grounded in known behavioral patterns for online learning.
- Distinguishes free/audit learners from paying, credential-seeking learners, since their motivations differ.
- Ties the fix back to Coursera's business model (credential completions drive paid conversions and reputation).
Common mistakes
- Proposing a laundry list of unrelated feature ideas instead of targeting completion rate specifically.
- Ignoring the difference between free/audit and paid, credential-motivated learners.
Likely follow-up questions
- How would you design accountability without making the platform feel less flexible?
- How would you measure whether the cohort model actually improves completion versus just annoying self-paced learners?
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More questions from Microsoft
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