Agile basic knowledge----demand management based on story (I.)
Demand management based on story
(1) Using story mode to manage requirements, the large MRD is divided into a suitable granularity, and can be independently delivered story (usually each story can be completed within 1-5 days, including design, development, testing), the requirements are clear, easy to reach agreement, and can save a lot of requirements review time.
(2) require PM to be in the first iteration of the first day, complete all the i+1 iteration requirements split, and Rd, QA agree, and auxiliary QA together to complete the acceptance criteria, in the first iteration before the start of all story related work.
(3) Each story has its own priority, estimate point (that is, estimated time spent), as a basis to determine whether to include an iteration.
(4) PM at any time standby, rapid response, answer FAQ, modify the design is insufficient.
Each story communication process
Although there is no demand review meeting, each story is carefully scrutinized and communicated .
(1) First, a story by PM, you need to write a good user story card and detailed description;
(2) Then, PM will find Rd, QA leader to explain, and review,review people to raise questions and improve their opinions;
(3) Then, PM and responsible for specific development of RD, Test QA for explanation and discussion, RD, QA ask questions, questions, PM answers, and modify the detailed description.
(4) Finally, after all participants feel that there is no problem, PM auxiliary QA to supplement the detailed acceptance criteria, RD to its review, and as a self-test and automated case preparation for reference.
(5) In addition, in the development and testing process, if the discovery of new problems, PM at any time to respond, answer questions, modify the design deficiencies.
Each of these steps has been implemented, not only the quality of the requirements are guaranteed, QA has become the core of demand management. Even if there are problems that are not taken into account, agile teams can quickly digest and optimize in the next iteration.
A method of demand management based on story
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