Easy interview questions in Product Management, page 2
Three accountabilities in a Scrum Team and their primary focuses
Tests recall of the three Scrum accountabilities. Outline: Product Owner orders the backlog; Developers create an Increment each Sprint; Scrum Master fosters an environment for empiricism. Red flag: Using roles or treating the Scrum Master as a task master.
What are the three Scrum accountabilities and their focus?
Tests recall of Scrum's core team structure and how the roles create a self-managing unit. A good answer names the Product Owner (value), Developers (Increment), and Scrum Master (process) and defines their focus.
What are the three accountabilities in a Scrum Team?
Tests recall of Scrum fundamentals and separation of concerns. Name the three accountabilities (Product Owner, Scrum Master, Developers) and define their focus: PO on value, Developers on delivery, and SM on process. A red flag is adding non-Scrum roles.
How do you track events and calculate funnel drop-off?
Tests event mapping and funnel math. Answer: one event per step (page view, email submit, profile done); compute relative step conversion and overall rate from top; deduplicate users. Red flag: raw pageviews instead of uniques.
Describe the Daily Scrum's purpose, audience, and intended outcome.
Say it's a Sprint event for Developers to inspect progress toward agreed goals and adapt their plan.
Describe the purpose of the Daily Scrum
Tests if you know the Daily Scrum is a planning event for Developers, not a status report. A good answer states it's a 15-min meeting to inspect progress toward the Sprint Goal and adapt the Sprint Backlog.
What is the purpose of the Daily Scrum?
This tests if you know the Daily Scrum is a planning event for Developers, not a status report. A great answer states it's a 15-min meeting for Developers to inspect progress toward the Sprint Goal and adapt their plan.
Sprint Review vs Retrospective: purpose, focus, and audience
Review inspects the Increment with stakeholders to adapt the backlog; Retrospective inspects process to improve ways of working.
What is the purpose of Sprint Review vs. Sprint Retrospective?
This tests your grasp of Scrum's distinct feedback loops. The Review inspects the product Increment with stakeholders to adapt the Product Backlog. The Retrospective inspects the team's process with the Scrum Team only.
Sprint Review vs. Sprint Retrospective: Purpose and Audience
This tests your grasp of Scrum's dual feedback loops. A great answer defines Review as inspecting the *product* with stakeholders to adapt the backlog, and Retrospective as inspecting the *process* with the team to improve the next Sprint.
How do user personas and stories inform technical design and edge cases?
Tests if you translate product requirements into technical constraints and failure modes. Strong answers map persona pain points to architecture, derive unhappy paths from preconditions, and validate edge cases through vertical slices.
Differences between ETL and ELT, and when to choose each
ETL transforms before loading for structured data; ELT loads raw first and transforms in the warehouse for scale.
ETL vs. ELT: Key Differences and When to Use Each
This tests your grasp of data pipeline trade-offs. Define ETL (transform first) vs. ELT (load first), contrasting transform location and data state. A red flag is ignoring how cloud warehouses make ELT the modern default for flexibility.
ETL vs. ELT: Key differences and when to use each?
This tests your understanding of modern data architecture trade-offs. A good answer explains the T vs. L order, then links ETL to structured, legacy systems and ELT to flexible, cloud-native data lakes/warehouses.
What technical steps would you take to investigate a user's workflow frustration?
Tests if you can turn qualitative user pain into structured technical investigation. Strong answer: reproduce the exact workflow, then inspect logs and traces for errors or latency spikes, and segment by the user's environment.
Outline an automated pipeline to load a daily CSV into a database
Event trigger on drop, schema validation, idempotent load, and observability.
Build a pipeline to load a daily CSV into a database
This tests your ability to connect basic cloud services (storage, compute, database) into a simple, event-driven data pipeline. A good answer mentions an event trigger (S3), a serverless function (Lambda), and a database (RDS), plus error handling.
Build a pipeline to load CSVs into a database
Tests your grasp of event-driven architecture and basic ETL. A good answer outlines a trigger (storage event), a processing function (serverless), and a destination (database), mentioning error handling. A red flag is describing a manual or cron-based process.
Differentiate functional and non-functional requirements with user research examples.
This tests separating specific behaviors from measurable quality criteria. A strong answer defines functional requirements as behaviors and non-functional requirements as quality attributes with examples. A red flag is vague NFRs like fast.
Explain data warehouse purpose and how it differs from OLTP
This tests whether you know the OLTP versus analytics split. A great answer contrasts OLTP row-level writes and normalized schemas with warehouse denormalized schemas and BI reads. A red flag is calling a warehouse just a bigger OLTP database.
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