Wasn't sure if they wanted a PM-level answer or something more technical.
Start by clarifying that there is no single 'best' approach—it depends on requirements like latency, scalability, consistency, and team expertise. Then walk through a structured decision framework, comparing options such as direct connections, connection pooling, ORMs, and API layers, and tie your recommendation to business and product goals.
Pro tip: Emphasize that as a PM, your role is to facilitate trade-off discussions and ensure the chosen approach aligns with product priorities, not to dictate the technical solution. Mention that you'd partner with engineering to validate assumptions and measure outcomes.
Ask about expected scale, read/write patterns, latency needs, consistency requirements, and team capabilities. This ensures the approach fits the actual context.
List common approaches: direct database connections, connection pooling, ORM frameworks, database APIs/microservices, and serverless data APIs. Briefly describe each.
Compare options on performance, scalability, development speed, operational overhead, and cost. Use a simple matrix or pros/cons to structure the analysis.
Select the approach that best balances the requirements and trade-offs, and explain your reasoning clearly. Acknowledge any risks and mitigation plans.
Propose metrics to validate the choice, such as query latency, error rates, developer velocity, and cost per transaction. This shows a product mindset.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.