What this case covers
Around the operation of Xiaohongshu virtual products, the author connected demand discovery, product creation, and graphic-text customer acquisition into an AI workbench. The article introduces the division of labor from market evidence screening to product acceptance, content Skills, and independent review.
Questions it answers
- Which market data is closer to paid demand?
- How should the form be chosen between virtual materials and software products?
- Why verify data completeness first after collection?
- How can benchmark research be turned into content Skills?
- Why are daily generation and review executed separately?
Our observations
- Transaction rankings can narrow the research scope, but cannot replace specific product validation.
- A repeatedly usable workbench depends on accurate materials and manual acceptance.
From the author
The specific content still needs to be reorganized; several materials cannot be directly pieced together.