reviewed

Service discovery to reusable learning

A source-backed route from problem framing through alpha prototypes, live improvement, and knowledge-card distillation.

builders using service-design discipline to evaluate AI product ideas 18 分钟 service-design, product-discovery

路径卡片

1 1

Problem before solution

A discovery process should turn a proposed solution back into the underlying problem before committing to build.

model product-discovery, service-design
2 2

Discovery decision gate

Discovery should end with a decision about whether the evidence justifies moving into a more expensive exploration phase.

model product-discovery, decision-making
3 3

Riskiest assumption prototype

A prototype is most useful when it focuses on the riskiest assumption instead of recreating the entire product.

tool product-discovery, service-design
4 4

Throwaway alpha learning

Alpha work should be judged by what it teaches, not by whether the prototype survives into production.

model product-discovery, indie-building
5 5

Live continuous improvement

A live product still needs research, testing, accessibility checks, quality assurance, and performance metrics.

model product-operations, service-design
6 6

Knowledge card distillation

Knowledge card distillation turns useful product lessons into short, source-linked, reusable cards.

tool knowledge-management, editorial-workflow