Strategy question
You are in charge of pricing for an immersive AR/VR experience type offering. How would you price it?
- Strategy
- Hard
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 pricing strategy reasoning for a new, less-commoditized experience category, requiring a chosen pricing model with justification.
How to approach it
- Clarify the offering: assume a content or experience access model rather than hardware alone.
- Anchor value to comparable entertainment experiences, movie tickets, escape rooms, gaming subscriptions, since AR/VR lacks a direct comparable yet.
- Consider a tiered model, pay-per-experience for casual users and a subscription for frequent users who justify the hardware investment.
- Factor in the cost structure: content creation is high fixed cost with low marginal cost per additional user, favoring a subscription or volume model.
- Define success as conversion rate at different price points and repeat purchase or subscription retention rate.
What a strong answer includes
- Anchors pricing to real comparable experience categories, movie tickets and escape rooms, rather than an arbitrary number.
- Proposes a tiered model matching different usage intensities instead of one-size-fits-all pricing.
- Ties the pricing model to the underlying cost structure, high fixed cost and low marginal cost.
Common mistakes
- Picking an arbitrary price with no comparable-market anchor or justification.
- Ignoring that content cost structure favors different pricing than a purely per-use model.
Likely follow-up questions
- How would you test price sensitivity before a full launch?
- How would pricing differ for enterprise or training use cases versus consumer entertainment?
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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