Covers the end to end practices of gathering, evaluating, synthesizing, and incorporating feedback into iterative design and research cycles. Candidates should demonstrate how they plan and run user research and usability testing, collect feedback from users, teammates, and stakeholders, and use structured synthesis methods such as affinity mapping and thematic analysis to generate actionable insights. Includes practical iteration techniques such as rapid prototyping, playtesting, split testing and controlled experiments, incremental improvements, and versioning of design artifacts. Assesses how candidates prioritize suggested changes using impact and effort considerations, product vision alignment, and technical constraints, and how they define and measure success through quantitative metrics and qualitative signals. Examines interpersonal skills around openness to critique, responding without defensiveness, communicating trade offs and decisions to stakeholders, defending choices with evidence and rationale, documenting learnings, and establishing processes for continuous improvement and knowledge transfer. Also includes learning from past iterations and mistakes and adapting research methodology or recommendations based on new evidence.
MediumSystem Design
0 practiced
Design a feedback capture and analytics pipeline that collects front-end events, session replays, in-app feedback, and survey responses; routes them to a data warehouse and a research portal; supports both ad-hoc queries and scheduled dashboards; and meets privacy/compliance requirements for 100k daily active users. Describe components, data schema considerations, retention policy, tooling trade-offs, and how researchers will surface insights.
EasyTechnical
0 practiced
Explain, in plain terms for non-statisticians, what sample size, statistical significance, and power mean in the context of UX experiments. Provide simple rules of thumb a Solutions Architect might use when advising stakeholders on how long to run an experiment and when to trust results.
HardSystem Design
0 practiced
Design governance for a single design system used across multiple regions and product lines. Include component ownership and contribution model, semantic versioning policy, enforcement of accessibility and localization standards, release cadence, compatibility guarantees, deprecation workflows, and metrics to measure adoption, technical health, and cross-team compliance.
MediumBehavioral
0 practiced
Role-play scenario: A product leader insists on shipping a visually complex feature that contradicts your usability research. How would you present your findings, negotiate a compromise, and propose an evidence-based path forward that balances business needs, technical constraints, and user impact? Outline the communication steps and decision criteria.
MediumSystem Design
0 practiced
Your company has multiple UI component libraries spread across teams. Create a consolidation plan to form a single design system: include discovery and inventory, API compatibility strategy, semantic versioning rules, automated tests, CI/CD release pipelines, migration windows, documentation and training, and stakeholder communication to dependent teams and external customers.
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