Applying MVP Methodology to Game Recommendation Systems

MVP (Minimum Viable Product) is a development approach that focuses on delivering the smallest functional version of a product to the market, gathering user feedback, and iterating rapidly. The article first contrasts MVP with the traditional waterfall model, highlighting the latter's inflexibility, high cost, and risk of missing market opportunities.

It then introduces the MVP principle, which prioritizes core user needs and rapid delivery, using Amazon's early book‑store launch as a classic example of successful MVP execution.

Next, the article discusses why the waterfall model is unsuitable for game recommendation systems, emphasizing the rapid change in player demands and the heavy reliance on real‑time feedback data, which amplify the risks of a linear development process.

The core of the article describes how to apply MVP in game recommendation business: during brainstorming, select a few key models and strategies that satisfy the core recommendation needs, build a lightweight MVP, and use it for cold‑start to collect metrics such as gift purchase rates and gameplay participation.

Based on the collected data, the team designs one or two initial iteration plans, runs them in parallel with the MVP, and later integrates successful components into a more mature version (e.g., 2.0), while managing multiple version pipelines to avoid uncontrolled growth.

Finally, the article concludes that MVP enables continuous user feedback, agile iteration, and quick adaptation to short‑term game environment changes, thereby mitigating the risks associated with traditional waterfall development and improving overall recommendation system flexibility.