User and Developer Needs Questions

Assess how product and architecture decisions balance user and developer requirements with technical feasibility. Topics include gathering and prioritizing requirements, negotiating trade offs between desired user experience and implementation complexity, designing alternative solutions to work within constraints, and communicating architectural implications to product and engineering stakeholders. Interviewers may probe how candidates translate user journeys into technical requirements, how they evaluate feasibility and effort, how they propose product level workarounds for platform limitations, and how they ensure the architecture enables desired user and developer workflows without causing undue technical debt.

EasyTechnical

0 practiced

Explain what a Designated Responsible Individual (DRI) or 'owner' is for a feature or subsystem and why having a DRI helps balance user needs and developer needs. Give a concrete example of how a DRI would operate during requirements changes and post-release incidents.

HardTechnical

0 practiced

Case: A core shared library used by many teams is causing frequent breakages and blocking feature delivery. Create a plan to refactor or replace the library, including stakeholder buy-in, migration steps for dependent teams, CI/testing changes, rollout strategy, and how you will measure success post-migration.

HardTechnical

0 practiced

As a tech lead, product wants multiple rapid new features that will accumulate significant technical debt. Design a process to evaluate, quantify, and decide which features to accept, which to delay, and which require parallel remediation work. Explain the artifacts, metrics, and stakeholder communication plan you would use to gain alignment.

MediumTechnical

0 practiced

Implement a REST endpoint in Node.js or Python that returns aggregated counts of steps completed in a user onboarding funnel for a given date range. Use this sample table schema:

users(id int, created_at timestamp)onboarding_events(id int, user_id int, step varchar, occurred_at timestamp)

Return JSON: {date: 'YYYY-MM-DD', step: 'upload_photo', count: 123}. Consider performance and pagination for long date ranges.

MediumBehavioral

0 practiced

Describe a past situation where you persuaded a product manager to accept higher engineering effort for a long-term architectural improvement. What arguments and data did you use, and how did you measure return on investment after implementation?

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