Looks easy and that's kind of the problem.
Start by clarifying the goal and context—are we improving for sustainability, convenience, or a specific user segment? Then structure your answer around a user-centric framework: identify pain points, brainstorm improvements, prioritize based on impact and feasibility, and define success metrics.
Pro tip: Anchor your improvements in a clear user persona and a specific scenario (e.g., athletes, commuters) to avoid generic suggestions. Also, tie each improvement to a measurable outcome like increased daily water intake or reduced plastic waste.
Ask clarifying questions to understand the goal: Is this for a new product or an existing one? What user segment are we targeting? What constraints (budget, sustainability) exist?
Choose a specific user persona and map their journey with a water bottle. Identify key frustrations such as leakage, difficulty cleaning, temperature control, or environmental impact.
Generate a range of ideas addressing the pain points, from incremental (e.g., better lid) to radical (e.g., self-cleaning, smart hydration tracking). Consider technology, materials, and design.
Use a prioritization framework (e.g., impact vs. effort) to select the most promising ideas. Discuss how you would validate them with user research or prototypes.
Propose metrics to measure the improvement's success, such as user satisfaction, daily water consumption, or reduction in single-use plastic.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.