Product design question
How would you improve Calendly?
- Calendly
- Product design
- Easy
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Focused product improvement thinking on a widely used scheduling tool, identifying a specific friction and a testable fix.
How to approach it
- Confirm the goal: reducing scheduling friction, increasing meeting show up rate, or improving discoverability of availability.
- Segment users: hosts setting up meeting types versus invitees trying to find a workable time slot.
- Identify the pain point: invitees across many time zones often struggle to quickly spot a mutually convenient time.
- Prioritize time zone clarity, since it is a common, well known source of scheduling confusion and no shows.
- Propose a feature: a visual overlap view highlighting the best mutual time windows automatically.
- Define success with booking completion rate and reduction in reschedule requests due to time zone confusion.
What a strong answer includes
- Targets a specific, well known pain point in scheduling tools, time zone confusion, rather than a vague redesign.
- Proposes a concrete feature, a visual overlap view, that directly solves the named friction.
- Sets a clear metric, reschedule requests due to time zone confusion, tied precisely to the proposed fix.
- Considers both sides of the interaction, host setup and invitee booking experience.
Common mistakes
- Proposes broad, unrelated feature additions instead of a focused improvement to a known pain point.
- Ignores the host side of the workflow entirely.
Likely follow-up questions
- How would you measure if this reduced no shows, not just reschedules?
- How would you design this for someone booking across many time zones at once, like a global team?
- How would you validate this is worth prioritizing over other requested features?
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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