当前位置:网站首页>Agile Development: super easy to use bucket estimation system
Agile Development: super easy to use bucket estimation system
2022-06-30 10:39:00 【Full stack programmer webmaster】
“ Bucket estimation system ” It is a method to estimate a large number of items with small and medium-sized people , And it can be done quickly . The bucket estimation system has the following characteristics , Make it especially suitable for agile environments :
- it Soon ! You can estimate hundreds of items in an hour .
- This is a Cooperative . Everyone in a group participates roughly equally .
- It provides Relative results Not an absolute estimate ( Points and hours ).
- The results cannot be traced back to individuals , So it encourages The team is responsible for .
- And The team Work together to estimate the workload or with stakeholders Value estimated by cooperation .
Bucket estimation system flow
The estimation work of the bucket estimation system is as follows :
- Set the physical environment according to the following figure . Make sure that all items to be estimated are written on the card .
- Select an item at random from the set . Read it to the group . Put it on “8” In the barrel . This project is our first reference project .
- Randomly select another item from the set . Read it to the group . The group discussed its relative position in size . once Consensus It has been achieved , Put the item in the appropriate bucket .
- Choose the third item at random , After discussion and consensus , Put it in a suitable bucket .
- If the random item has obviously tilted the scale towards one end or the other end , Then rescale the item ( for example , If the first item is actually very small and should be “1” In the barrel ).
- Divide and rule . Distribute all remaining items equally to all participants . Each participant puts the project on scale without discussing it with other participants . If a person has a project that they really don't understand , Then the project can be provided to others .
- Integrity check ! Everyone quietly reviews projects of scale . If participants find a project that they don't think is appropriate , They are welcome to bring it to the attention of the panel . Then the group discusses it , Until a consensus is reached and placed in one of the buckets .
- Write the bucket number on the card , To record the estimate .
Some key points to consider :
- Multiple items can be in the same bucket .
- Item cannot be placed in “ bucket ” To express a more accurate estimate .
- If the distribution of items is skewed to either end of the scale , So during the integrity check step , The group should also discuss whether the project can and should be spread out more evenly on a scale . If so , Then the group will work together .
- The counselor should take care to ensure that “ Sound inspection ” No one moves the placed items before the step .
- The project division between participants does not need to be exactly the same – Don't worry about “ Handle ” project . contrary , They are only roughly divided .
- If “ Divide and rule ” Oneortwo people work very slowly through their projects at this stage , It is acceptable to suggest that they share the remaining projects with those who have already completed them .
- It is not acceptable for individuals to abstain completely . If anyone wants to abstain , They should be told that this means that they will not have any future say in the estimates .
- stay “ Divide and rule ” Stage , Absolute silence is essential . especially , The project should not be discussed bilaterally . This is to protect the anonymity of individuals who place as many items as possible .
Bucket estimation system is a good alternative estimation method , Try planning poker instead . It's much faster than planning poker , But reasonable results can still be obtained .
Publisher : Full stack programmer stack length , Reprint please indicate the source :https://javaforall.cn/101125.html Link to the original text :https://javaforall.cn
边栏推荐
- 逸仙電商發布一季報:堅持研發及品牌投入,實現可持續高質量發展
- Remember the experience of an internship. It is necessary to go to the pit (I)
- 安徽《合肥市装配式建筑施工图审查设计深度要求》印发;河北衡水市调整装配式建筑预售许可标准
- Enter the world of helium (hNT) hotspot servers to bring you different benefits
- Overview of currency
- "Kunming City coffee map" activity was launched again
- R language plot visualization: use plot to visualize the prediction confidence of the multi classification model, the prediction confidence of each data point of the model in the 2D grid, and the conf
- 我在鹅厂淘到了一波“炼丹神器”,开发者快打包
- The rising star of Goldshell STC box
- IPhone address book import into Excel
猜你喜欢
KOREANO ESSENTIAL打造气质职场范
The performance of arm's new CPU has been improved by 22%, up to 12 cores can be combined, and the GPU is first equipped with hardware optical tracking. Netizen: the gap with apple is growing
马斯克推特粉丝过亿了,但他在线失联已一周
ArcGIS Pro scripting tool (6) -- repairing CAD layer data sources
吴恩达2022机器学习专项课测评来了!
The digital collection of sunanmin's lotus heart clearing was launched on the Great Wall Digital Art
ArcGIS Pro脚本工具(5)——排序后删除重复项
How to deploy deflationary combustion destruction contract code in BSC chain_ Deploy dividend and marketing wallet contract code
逸仙電商發布一季報:堅持研發及品牌投入,實現可持續高質量發展
mysql数据库基础:约束、标识列
随机推荐
如何解决跨域
"Kunming City coffee map" activity was launched again
技能梳理[email protected]體感機械臂
05_Node js 文件管理模块 fs
WGet -- 404 not found due to spaces in URL
Gd32 RT thread flash driver function
逸仙電商發布一季報:堅持研發及品牌投入,實現可持續高質量發展
潘多拉 IOT 开发板学习(HAL 库)—— 实验1 跑马灯(RGB)实验(学习笔记)
苹果5G芯片被曝研发失败,QQ密码bug引热议,蔚来回应做空传闻,今日更多大新闻在此...
R语言plotly可视化:使用plotly可视化多分类模型的预测置信度、模型在2D网格中每个数据点预测的置信度、置信度定义为在某一点上最高分与其他类别得分之和之间的差值
The programmer was beaten.
ArcGIS Pro scripting tool (5) - delete duplicates after sorting
GD32 RT-Thread PWM驱动函数
马斯克推特粉丝过亿了,但他在线失联已一周
Voir le changement technologique à travers la Légion Huawei (5): Smart Park
Notes on numerical calculation - iterative solution of linear equations
How to seize the opportunity of NFT's "chaos"?
GD32 RT-Thread RTC驱动函数
Skill combing [email protected] intelligent instrument teaching aids based on 51 series single chip microcomputer
MATLAB image histogram equalization, namely spatial filtering