Product design question
Replit wants Agent to help non-technical employees in functions like finance, operations, and product solve real business problems with software. How would you identify the highest-value use cases, and then prioritize the connectors, reusable workflows, and product capabilities needed to serve them?
- Replit
- Product design
- Hard
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What this question tests
Tests the ability to identify high value non technical use cases and prioritize the platform capabilities needed to serve them well.
How to approach it
- Identify candidate use cases by function, finance building reconciliation tools, ops building workflow trackers, product building lightweight internal dashboards.
- Validate demand through direct interviews or pilot usage data rather than assuming which use cases matter most.
- Prioritize connectors to the systems non technical users already work in, like spreadsheets, Slack, and common SaaS tools, since those unlock the most use cases at once.
- Prioritize reusable workflow templates for the most common patterns, like data pull and report generation, over one off custom builds.
- Sequence product capabilities that reduce the need for technical debugging, like clearer error messages and guided prompts, since non technical users cannot self serve through code errors.
- Set adoption and task completion metrics per function to confirm which use cases are actually sticking before investing further.
What a strong answer includes
- Prioritizes connectors and templates that unlock many use cases at once over deep investment in one narrow use case.
- Explicitly calls out reducing technical debugging burden as a capability priority, since that is the actual barrier for non technical users, not raw capability.
- Validates use case demand with real usage or interview data rather than assuming based on function titles alone.
Common mistakes
- Assuming which use cases matter most without validating through real user interviews or pilot data.
- Prioritizing flashy technical capabilities over the unglamorous but higher leverage work of clear error handling and guided prompts.
Likely follow-up questions
- How would you measure whether a non technical user actually succeeded versus gave up and asked an engineer for help?
- Which connector would you build first and why?
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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