What's an online service you've been using for several years? Think of a new feature to improve it. Now design an MVP to invalidate this.
Question Analysis
This question assesses your ability to think critically about a product you are familiar with and identify areas for improvement. It also evaluates your capacity to design a Minimum Viable Product (MVP) to test your proposed feature. The question requires you to demonstrate both creative thinking and practical design skills. You need to show that you can pinpoint a real user problem, propose a solution, and outline a basic version of this solution to test its viability.
Answer
Online Service: Spotify
New Feature Proposal: Collaborative Playlist Curation using AI
Feature Description: Leverage AI to suggest song additions to collaborative playlists based on the listening habits and preferences of all contributors, ensuring the playlist evolves to reflect the group’s shared tastes.
MVP Design:
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Objective: Validate the hypothesis that users will appreciate and use AI-driven suggestions for collaborative playlists.
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Core Functionality:
- Data Collection: Gather data on individual listening habits and preferences of all contributors to a collaborative playlist.
- AI Suggestion Algorithm: Develop a simple AI model that analyzes the collected data and generates song recommendations.
- User Interface: Implement a basic interface within the Spotify app where users can view and approve AI-generated song suggestions for their collaborative playlists.
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Testing:
- Target Audience: Select a group of users who actively use collaborative playlists.
- Feedback Collection: Use in-app surveys and analytics to gather feedback on the usefulness and accuracy of the AI suggestions.
- Performance Metrics: Track metrics such as adoption rate, frequency of use, and user satisfaction.
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Iteration:
- Based on user feedback and performance metrics, refine the AI model and user interface to better meet user needs and preferences.
By focusing on this MVP, Spotify can quickly assess the value and impact of AI-driven playlist enhancements without a full-scale launch, allowing for thoughtful iteration and improvement.