Kanban是把任务流转状态与在制品数量与数字看板结合、通过限制并行任务数来暴露瓶颈并压缩等待时间的可视化项目管理方法，核心是工作状态透明与拉动式推进，能力包括看板可视化、在制品限制、流动时间度量与持续改进。它解决的是任务状态不透明、在制品堆积与交付周期被等待时间拉长的问题，并不解决需求本身不清晰与团队技能不匹配的问题。
Kanban的核心是透明与流动，它可以帮助企业实现以下目标：方法本身不规定迭代周期，节奏由团队的交付能力与需求流入速度共同决定。
让任务状态一眼可见。看板按列展示任务流转情况，滞留在某一列的任务自动暴露，等待原因不再需要逐个追问。
限制在制品数量。每列同时处理的任务数被设定上限，新任务在前一列未完成前不能进入，形成对在制品的天然限流。
用流动时间替代完成率作为核心指标。管理者关注的是任务从开始到结束花了多久，而不是按期交付了多少，从而把注意力引向系统瓶颈。改进动作需要落到具体流程调整上，否则度量数据只会被记录而不会改变行为。
让改进有数据依据。瓶颈被量化后，对应环节的流程调整效果可以在下一轮周期中被直接验证。
总之，Kanban可以帮助企业实现研发过程从进度催办到流动管理的转变，减少在制品堆积与任务等待，提高交付的可预测性与响应速度，推动团队形成基于数据的持续改进习惯。
翻译
Kanban is the combination of task flow states and work-in-progress limits with digital boards to expose bottlenecks and compress waiting time through a visualized project management method. Its core is transparency of work status and pull-based advancement, with capabilities covering board visualization, work-in-progress limits, flow time measurement and continuous improvement. It solves the problems of opaque task status, accumulating work in progress and delivery cycles stretched by waiting time, but it does not solve the problems of unclear requirements and mismatched team skills.
At the heart of Kanban is transparency and flow, which can help companies achieve the following:
Make task status visible at a glance. The board displays flow by column, and tasks stalled in a column surface automatically, so waiting reasons no longer require one-by-one follow-up questions.
Limit work in progress. The number of tasks processed simultaneously in each column is capped, and new tasks cannot enter until the previous column completes, naturally throttling work in progress.
Use flow time instead of completion rate as the core metric. Managers focus on how long a task takes from start to finish rather than on how many were delivered on time, directing attention to system bottlenecks.
Ground improvement in data. Once a bottleneck is quantified, the effect of process adjustments in the corresponding step can be verified directly in the next cycle.
In short, Kanban can help enterprises shift R&D processes from chasing progress to managing flow, reduce work-in-progress buildup and task waiting, improve delivery predictability and responsiveness, and foster a data-driven habit of continuous improvement.
