How to Analyze a Product’s Underlying Logic and Decompose Problems

1. Product Underlying Logic

When thinking about a product’s underlying logic, start by identifying who the product serves and what core value it delivers, then examine its business model, how it generates revenue, and the user experience that combines practicality with delight.

2. Core Value

The core value proposition defines the unique benefits that attract users, drive purchases, and build brand loyalty.

Example: an "xx browser" whose core function “search‑browse‑use” aims to create a comprehensive information platform offering convenient, rich, personalized content and services.

1. Comprehensive Features

Search: core capability, improving accuracy and speed, integrating vertical search.

Browse: rich feed of news, videos, social updates, live streams.

Use: integration of life services (e.g., ride‑hailing, travel, shopping) and file‑management tools.

Watch: video resources and a free‑novel channel.

2. Rich and Personalized Content

Content aggregation across news, novels, video, anime, social, shopping.

Personalized recommendation based on browsing history and interests.

3. Convenience and Efficiency

Quick‑access shortcuts for frequently used sites, mini‑programs, novels.

Cross‑device sync after login.

Auxiliary tools such as translation, AI assistant, split‑screen, reading mode, video‑in‑window.

3. Business Model

The business model covers customer segments, value proposition, channels, customer relationships, revenue streams, key resources, key activities, partners, and cost structure.

Typical internet product models include advertising, e‑commerce, subscription, premium services, platform revenue share, and data services.

A concrete business‑model canvas is illustrated below.

4. User Experience

User experience (UX) is a multidimensional concept describing overall satisfaction during product use.

To deliver good UX, consider visual design, performance optimization, content relevance, interaction design, personalization, and security/reliability.

5. Optimization and Innovation

Continuous attraction of new users and retention of existing ones requires ongoing iteration and innovation.

Optimization refines features, experience, and feedback, often referencing competitor upgrades.

Innovation adapts to technological shifts—e.g., integrating large‑model AI to avoid being left behind.

AI assistants now consolidate answers, moving users from traditional search to AI‑driven consultation.

6. External Environment and Technical Feasibility

Monitoring market trends and positioning informs product iteration and competitive advantage.

Technical feasibility is critical: before adopting large‑model AI, assess team capability and budget.