My first instinct was to jump straight into features, which was probably the wrong move.
Start by clarifying the product vision and target users (e.g., kids and parents) to align on goals. Then, outline a phased roadmap: MVP with core remote control and safety features, followed by engagement and social features, and finally advanced personalization and ecosystem integration. Prioritize features using a framework like RICE, emphasizing user value and technical feasibility.
Pro tip: Anchor your design in a specific user need—like helping kids develop STEM skills through play—and tie every feature back to that need. This shows strategic thinking and avoids a laundry list of features.
Ask clarifying questions to understand the product's purpose, target audience (e.g., age range, parents vs. kids), and platform (iOS/Android). Define success metrics like engagement or retention.
Articulate the app's unique value: e.g., intuitive control, educational coding, or multiplayer racing. Ensure it complements the physical toy and enhances play.
List potential features (e.g., virtual joystick, coding blocks, AR races, parental controls). Use a prioritization framework (e.g., RICE, MoSCoW) to select MVP features based on impact and effort.
Outline the MVP with must-have features (e.g., reliable control, safety limits). Then, propose a phased roadmap: Phase 1 (MVP), Phase 2 (engagement features like challenges), Phase 3 (advanced features like AI or community).
Specify KPIs (e.g., DAU, session length, crash rate) and a plan for user feedback and iteration. Highlight potential risks and mitigation.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.