model
Live continuous improvement
A live product still needs research, testing, accessibility checks, quality assurance, and performance metrics.
正文
Going live does not end product learning. A live service needs a practical operating model for research, browser and device testing, accessibility, quality assurance, metrics, and coordination with related offline or support channels.
For GetZed products, this means a shipped surface should keep producing evidence that can feed both roadmap decisions and reusable Knowledge Atlas cards.
来源引用
How the live phase works
Source: How the live phase works
GOV.UK live guidance describes improving services using user research, testing, accessibility, QA, performance metrics, and operational readiness.
相关卡片
Knowledge card distillation
Knowledge card distillation turns useful product lessons into short, source-linked, reusable cards.
Workbench commitment log
A workbench commitment log turns selected ideas into tracked projects with visible next actions.
Source-linked personal knowledge
Source-linked personal knowledge keeps reusable notes connected to the evidence or experience that produced them.
所在阅读路径
Human-centered AI feedback loop
A route for keeping AI tools useful after first generation: map risks, support correction, capture feedback, and review production readiness.
Service discovery to reusable learning
A source-backed route from problem framing through alpha prototypes, live improvement, and knowledge-card distillation.
Usability guardrails for AI tools
A short path for keeping AI product interfaces grounded in user needs, accessible context testing, search clarity, and enforceable validation.