I went straight to user segmentation, which felt right, but I spent way too long on it and rushed the actual feature prioritization at the end.
Start by clarifying the goal and scope of the meditation app, then segment users and identify their key needs. Prioritize features based on impact and feasibility, and outline a phased roadmap with success metrics.
Pro tip: Anchor your design in a clear user problem and tie every feature to a measurable outcome—Google PMs value evidence-based prioritization over feature lists.
Ask questions to understand the target audience, platform, and business objectives (e.g., user engagement vs. monetization). Define what 'from scratch' means in terms of MVP vs. full product.
Identify primary user segments (e.g., beginners, stressed professionals, sleep-deprived) and their core needs (stress relief, focus, sleep). Use personas to ground feature ideas.
Brainstorm features (guided meditations, progress tracking, social sharing) and prioritize using a framework like RICE or MoSCoW. Focus on MVP features that deliver core value.
Outline a phased roadmap: MVP with core meditation content, then enhancements like personalization, community, and integrations. Align with business goals and user feedback loops.
Define KPIs (e.g., DAU, session length, retention) and a plan for A/B testing and iteration. Emphasize continuous learning and adaptation.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.