Product design question
You are a PM of a B2B product. Design a pricing tool that is going to be used by sales managers.
- Product design
- Hard
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What this question tests
B2B product design for an internal sales tool, requiring the candidate to reason about workflow efficiency and pricing accuracy.
How to approach it
- Clarify the user: sales managers configuring deal pricing, distinct from the end customer facing pricing page.
- Identify the core job: quickly generating an accurate, approved price quote for a complex, configurable product.
- Identify the pain point: manual pricing calculations are slow and prone to costly errors on large deals.
- Prioritize accuracy and speed of quote generation, since both directly affect deal velocity and revenue risk.
- Propose a guided configurator with built in discount approval thresholds and automatic margin calculation.
- Define success with quote turnaround time and reduction in pricing errors requiring rework.
What a strong answer includes
- Distinguishes the internal sales manager user from an end customer, correctly scoping this as a B2B internal tool.
- Names a concrete, high stakes pain point, pricing errors on large deals, relevant to enterprise sales.
- Proposes a specific mechanism, built in discount approval thresholds, that reflects real enterprise sales workflows.
- Sets business relevant metrics, quote turnaround time and error reduction, tied directly to sales velocity and revenue risk.
Common mistakes
- Designs this like a consumer facing pricing page instead of an internal workflow tool.
- Ignores approval workflows and discount governance, which are central to enterprise sales pricing.
Likely follow-up questions
- How would you integrate this with an existing CRM like Salesforce?
- How would you handle a sales manager wanting to override the approval threshold?
- How would you measure whether the tool actually reduced deal closing time?
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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