Strategy question
Start a new coffee shop in Toronto, Canada.
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Tests general business strategy reasoning applied outside tech: market sizing, competitive positioning, and a coherent go to market plan.
How to approach it
- Define the target customer and neighborhood, for example young professionals in a specific Toronto district with high foot traffic.
- Assess the competitive landscape: existing chains like Tim Hortons and Starbucks versus independent cafes.
- Identify a differentiation angle, such as specialty single origin coffee or a community workspace focus, rather than competing head on.
- Estimate rough unit economics: rent, staffing, and average ticket size needed to break even.
- Propose a launch plan: soft opening, local partnerships, and a loyalty program to build repeat visits.
- State the assumptions behind your numbers clearly, since exact figures are not something you would know precisely.
What a strong answer includes
- Picks a specific differentiation, for example a specialty coffee and workspace hybrid targeting remote workers in a district like King West, rather than a generic cafe.
- Gives illustrative unit economics, for example an assumed average ticket of 6 dollars and a stated daily customer count needed to cover rent and staffing.
- Proposes a go to market plan grounded in local tactics, partnerships with nearby offices and a referral loyalty program, not broad advertising.
- Flags the key risk, high competition density from established chains, and proposes location selection as the main mitigation.
Common mistakes
- Skipping rough unit economics entirely and treating this as a pure branding exercise.
- Ignoring the intense existing competition from Tim Hortons and Starbucks in most Toronto neighborhoods.
Likely follow-up questions
- How did you choose that specific neighborhood over others?
- What would make you decide this location is not viable before opening?
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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 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop