I fumbled the transition between the two parts of this question.
Structure your answer as a narrative: start with the problem and constraints, explain your design process and key decisions, then critically evaluate the outcome and propose improvements. Emphasize user impact and trade-offs to show product sense, and frame critiques as opportunities for iteration and learning.
Pro tip: Tie your critique to measurable user or business impact, and mention how you would validate the change (e.g., A/B test, user interviews) to demonstrate data-driven maturity.
Briefly describe the project, its goals, target users, and any constraints (time, tech, team size) to ground your decisions.
Walk through how you identified user needs, explored solutions, and made trade-offs, highlighting any data or feedback that informed your choices.
Focus on 1-2 pivotal design or technical decisions, why you made them, and what impact they had on users or metrics.
Identify specific weaknesses or missed opportunities, and explain what you would change and why, linking to user value or scalability.
Describe how you would test or implement the improvements, showing a bias for action and continuous learning.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.