社区 › 科技 › AI辅助研发项目过程改进

挫莉虻 发表于 2025-6-28 12:45:59

AI辅助研发项目过程改进

背景

在研发项目过程改进中，依赖专家判断的背景可归纳为以下核心要素，这些要素共同构成了专家判断在项目管理中不可或缺的支撑作用：
1. 技术复杂性与项目独特性驱动的深度洞察需求
现代研发项目，尤其是涉及人工智能、生物医药、高端制造等领域，技术复杂度呈指数级增长。例如，在软件开发中，需求分析、架构设计、编码实现、测试验证等环节相互交织，任何环节的疏漏都可能导致项目延期或质量不达标。专家凭借其深厚的领域知识（如特定技术框架的掌握、行业标准的理解）和实战经验（如历史项目的失败教训、成功案例的复用模式），能够：

[*]识别隐性技术瓶颈：在代码评审或系统集成阶段，专家可快速定位潜在的性能缺陷或兼容性问题，例如通过静态代码分析发现内存泄漏风险。
[*]定制化改进策略：针对项目独特性（如客户定制化需求、新兴市场特性），专家能提出“非标准化”解决方案，避免套用模板导致的效率损失。
2. 数据局限性下的决策填补与不确定性应对
在项目初期或新兴技术领域，历史数据往往匮乏，传统基于数据的决策模型（如蒙特卡洛模拟、回归分析）难以直接应用。此时，专家判断通过以下方式填补空白：

[*]类比估算与经验法则：专家可基于类似项目（如同行业技术路线、相同规模团队配置）的经验，提供初步的成本、时间估算，为决策提供关键输入。
[*]风险预测与预案设计：面对技术可行性风险（如算法准确率不达标）、市场不确定性（如政策突变），专家能结合行业趋势（如GDPR对数据隐私的影响）提出预防措施，例如在技术路线选择中预留“Plan B”。
3. 资源优化与决策质量的双重提升
研发资源（人力、时间、预算）的有限性要求高效配置。专家判断在此过程中发挥核心作用：

[*]资源分配优化：通过评估项目需求与团队能力匹配度，专家可建议关键任务的人员调配（如将资深工程师分配至核心模块开发），避免资源浪费。
[*]复杂决策支持：在技术路线选择（如自研芯片 vs. 采购第三方方案）、供应商评估（如代工厂产能与质量平衡）等场景中，专家提供多维度分析（技术可行性、成本、长期战略价值），提升决策科学性。
4. 持续改进与知识传承的闭环机制
过程改进是动态循环，需持续监控与调整。专家通过以下方式推动闭环：

[*]定期评审与迭代：在技术评审点（如IPD流程中的TR5、TR6），专家独立评估设计稳定性、制造可行性，提出改进建议（如优化测试用例覆盖率）。
[*]组织知识资产化：专家经验通过文档化（如最佳实践指南、风险案例库）、培训（如敏捷开发工作坊）转化为组织能力，避免重复犯错（如某团队因未进行压力测试导致系统崩溃，后续纳入专家编写的测试规范）。
5. 跨领域协调与利益相关者共识构建
研发项目常涉及多部门协作（研发、市场、生产、法务），专家作为“知识桥梁”：

[*]协调技术与管理语言：将技术细节（如API接口规范）转化为业务语言（如客户价值主张），增强决策共识（如在需求评审中平衡技术可行性与市场需求）。
[*]利益相关者管理：通过专家背书，提升关键决策的可信度（如向高层汇报时引用行业权威观点），减少沟通阻力。
6. 工具与方法论的补充与增强
尽管数据分析、敏捷方法等工具日益成熟，但专家判断仍不可替代：

[*]定性调整与情境修正：在风险评估中，专家可能修正统计模型结果（如将“算法准确率95%”调整为“实际场景中因数据偏差可能降至80%”），纳入人为因素（如团队疲劳度）或外部事件（如供应链中断）。
[*]工具与方法论的选择指导：专家基于项目特性（如规模、复杂度）推荐合适工具（如小型项目采用Scrum，大型项目结合SAFe框架）。
实践

团队成员名单

前端研发工程师： 伍同学
测试工程师： 骆同学
产品经理： 黄同学
前端研发工程师： 刘同学
项目经理：小胖子刘同学
AI人设

# 角色：
软件项目过程改进专家
# 简介：
资深软件项目过程改进专家，专注于通过系统化的方法识别、分析和优化软件开发过程中的低效环节，提升团队生产力和软件质量。具备CMMI、ISO等国际标准认证经验，擅长将行业最佳实践与组织实际情况相结合。
# 技能：
- 过程评估与成熟度分析
- CMMI/ISO标准实施
- 敏捷与精益方法应用
- 过程数据度量与分析
- 变更管理与持续改进
- 组织变革管理
# 规则：
- 基于客观数据驱动改进决策
- 确保改进措施与组织战略一致
- 平衡改进速度与团队接受度
让我们一步一步地进行软件项目过程改进：
# 工作流程（输出中间步骤和中间执行结果）：
1. **现状评估**：
- 开展过程评估访谈
- 收集过程执行数据
- 分析当前成熟度水平
- 识别关键痛点
2. **差距分析**：
- 对比目标模型(如CMMI)要求
- 量化能力差距
- 确定改进优先级
3. **改进规划**：
- 制定改进路线图
- 设定可度量的目标
- 规划资源投入
4. **方案设计**：
- 设计具体改进措施
- 制定过程资产模板
- 规划培训方案
5. **试点实施**：
- 选择试点项目
- 执行改进措施
- 收集反馈数据
6. **全面推广**：
- 制定推广计划
- 组织培训与沟通
- 提供过程支持
7. **效果评估**：
- 度量改进效果
- 分析ROI
- 识别新问题
8. **持续优化**：
- 建立持续改进机制
- 定期过程评审
- 更新过程资产
# 输出格式：
- 完整的过程改进方案，包含：
- 过程评估报告
- 差距分析矩阵
- 改进路线图
- 实施计划表
- 度量指标体系
- 培训材料
- 效果评估报告


提示词

以下三段提示词，我们与五张IM聊天阶段配合LLM进行分析诊断
我提供了如下软件项目 团队成员角色，按软件行业角色分工，请继续基于团队成员IM对话进行分析，对话中角色 1)前端研发工程师:伍同学,2)测试工程师:骆同学。
进行软件过程改进。
现有团队成员完整名单：
1.前端研发工程师:伍同学
2.测试工程师:骆同学
3.产品经理:黄同学
4.前端研发工程师:刘同学
5.项目经理:A+新媒体私域架构师～小胖子刘同学
6.后端工程师：成同学
--------------------------
我提供了如下软件项目 团队成员角色，按软件行业角色分工，请继续基于团队成员截图IM对话进行分析，
进行软件过程改进与分析。
现有团队成员完整名单：
1.前端研发工程师:伍同学
2.测试工程师:骆同学
3.产品经理:黄同学
4.前端研发工程师:刘同学
5.项目经理:A+新媒体私域架构师～小胖子刘同学
6.后端工程师：成同学
----------------------------------------------
我提供了如下软件项目 团队成员角色，按互联网行业角色分工，请继续基于团队成员截图IM对话进行分析，
进行产品设计改进与分析。
现有团队成员完整名单：
1.前端研发工程师:伍同学
2.测试工程师:骆同学
3.产品经理:黄同学
4.前端研发工程师:刘同学
5.项目经理:A+新媒体私域架构师～小胖子刘同学
6.后端工程师：成同学


场景一 前端工程师不主动推进工作

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LLM可以对软件项目的过程进行分析，并提出改进建议。
1. 沟通与协作流程优化
当前问题：

[*]沟通渠道不明确：测试工程师骆同学直接向前端研发工程师伍同学报告问题，但没有涉及其他相关角色（如产品经理、项目经理等）。
[*]信息传递不完整：在讨论过程中，缺乏对问题背景、影响范围及可能的原因的详细描述，可能导致解决方案不够全面。
改进建议：

[*]建立标准化沟通模板：制定一套标准化的问题报告模板，包括问题描述、影响范围、紧急程度、当前状态等关键信息，确保每次沟通都能提供完整的信息。
[*]明确沟通渠道和责任人：确定不同问题类型对应的沟通渠道和责任人，例如技术问题优先由前端或后端研发工程师处理，业务问题由产品经理协调。
[*]引入协作工具：使用项目管理工具（如Jira、Trello等）来跟踪问题和任务分配，确保每个问题都有明确的责任人和截止日期，并且所有相关方都能及时获取信息。
2. 数据一致性与系统功能优化
当前问题：

[*]数据不一致：伍同学指出后台返回的数据与预期条件不匹配，这表明系统可能存在数据同步或逻辑判断上的问题。
[*]依赖人工干预：当数据不匹配时，需要“让成总调”，这增加了人工干预的成本和时间。
改进建议：

[*]加强数据校验机制：在系统设计阶段增加数据校验逻辑，确保数据的一致性和完整性。例如，在订单状态变更时进行双重校验。
[*]自动化异常处理：开发自动化的异常检测和处理机制，当检测到数据不一致时，系统能够自动记录日志并触发相应的处理流程，减少人工干预。
[*]定期数据审计：定期对关键数据进行审计和核对，及时发现并解决数据不一致的问题。
3. 问题解决流程规范化
当前问题：

[*]缺乏标准化问题解决流程：在发现问题后，团队成员之间的沟通和处理方式较为随意，缺乏统一的标准和流程。
[*]决策链条不清晰：对于需要高层决策的问题，缺乏明确的上报和决策流程。
改进建议：

[*]建立问题解决流程：制定一套标准化的问题解决流程，包括问题上报、分析、解决和反馈等环节，确保每个问题都能得到及时有效的处理。
[*]明确决策权限和流程：根据问题的性质和紧急程度，明确不同级别人员的决策权限和流程，确保问题能够快速有效地解决。
[*]设立问题跟踪机制：为每个问题建立跟踪记录，记录问题的发现、分析、解决和验证过程，便于后续回顾和总结经验。
4. 知识共享与培训
当前问题：

[*]经验分享不足：在对话中，伍同学提到“除了小冬供应的在待发货里的都可以发货”，这表明某些特定的知识和经验只掌握在少数人手中。
[*]培训不足：团队成员可能对系统的某些功能和操作不够熟悉，导致在遇到问题时无法快速解决。
改进建议：

[*]建立知识库：将常见问题及其解决方案记录在知识库中，方便团队成员查阅和学习。
[*]定期培训和分享会：组织定期的技术培训和经验分享会，鼓励团队成员分享解决问题的经验和技巧，促进团队整体能力的提升。
[*]跨部门交流：鼓励不同角色之间的交流和合作，例如前端研发工程师和测试工程师可以定期进行技术交流，共同提高技术水平。
5. 项目管理与监控
当前问题：

[*]项目进度监控不足：从对话中可以看出，团队成员主要关注当前的问题解决，缺乏对项目整体进度和风险的监控。
[*]任务分配不明确：在对话中没有明确提到任务的具体分配和责任分工。
改进建议：

[*]引入项目管理工具：使用项目管理工具（如Jira、Trello等）对项目进度和任务进行跟踪和管理，确保每个任务都有明确的责任人和截止日期。
[*]定期项目评审：定期召开项目评审会议，总结项目进展，识别潜在的风险和问题，并制定相应的应对措施。
[*]明确角色职责：制定详细的项目计划和角色职责说明书，明确每个团队成员的职责和任务，确保每个人都清楚自己的工作内容和目标。
场景二 测试主动发现问题

https://www.cnblogs.com/data:image/png;base64,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
进一步分析当前产品设计过程中存在的问题，并提出相应的改进建议。
1. 界面设计与用户体验
当前问题：

[*]界面布局混乱：测试工程师骆同学提到“有点乱”，这表明当前的界面设计可能存在布局不合理、信息展示不清晰等问题。
[*]必填项设置不足：前端研发工程师刘同学提到“其他商品的图改成必填吧”，这表明当前的产品设计中可能缺少必要的必填项设置，导致用户在使用过程中出现遗漏或错误。
改进建议：

[*]优化界面布局：重新审视和优化界面布局，确保信息展示清晰、逻辑合理，减少用户的认知负担。
[*]增加必填项提示：在关键字段（如商品图片）处增加必填项提示，引导用户正确填写信息，避免遗漏或错误。
[*]进行用户测试：邀请真实用户进行界面测试，收集他们的反馈意见，不断迭代优化界面设计。
2. 需求沟通与理解
当前问题：

[*]需求理解不一致：从对话中可以看出，测试工程师骆同学提到“这块要不设计下”，而前端研发工程师刘同学则认为“是不是就好多了”，这表明团队成员对需求的理解存在差异。
[*]缺乏详细的需求说明：对话中没有提供详细的业务背景、功能描述和交互流程等信息，可能导致开发过程中出现理解偏差。
改进建议：

[*]明确需求文档：在需求确认阶段，编写详细的需求文档，包括业务背景、功能描述、交互流程、数据接口等信息，确保所有相关方对需求有统一的理解。
[*]定期需求评审会议：组织定期的需求评审会议，邀请所有相关方参与，共同讨论和确认需求细节，减少后续开发过程中的误解和返工。
[*]建立需求变更控制流程：制定一套需求变更控制流程，包括变更申请、评估、审批和通知等环节，确保每次需求变更都能得到正式的记录和处理。
3. 跨部门沟通与协作
当前问题：

[*]沟通渠道不畅通：从对话中可以看出，不同角色之间的沟通较为随意，缺乏正式的沟通渠道和机制。
[*]信息传递不完整：在对话中，测试工程师骆同学提到“这块要不设计下”，但没有详细说明具体背景和原因，可能导致其他团队成员无法全面了解情况。
改进建议：

[*]建立标准化沟通模板：制定一套标准化的沟通模板，包括需求描述、优先级、截止日期、相关文档链接等关键信息，确保每次沟通都能提供完整的信息。
[*]明确沟通渠道和责任人：确定不同阶段和类型的需求对应的沟通渠道和责任人，例如需求确认由产品经理负责，技术实现由项目经理协调前后端研发工程师。
[*]引入协作工具：使用项目管理工具（如Jira、Trello等）来跟踪需求和任务分配，确保每个需求都有明确的责任人和截止日期，并且所有相关方都能及时获取信息。
4. 质量保证与测试
当前问题：

[*]测试覆盖不全：从对话中可以看出，测试工程师骆同学提到“这块要不设计下”，这表明当前的测试覆盖可能存在不足，未能发现一些潜在的问题。
[*]测试用例不完善：在对话中没有看到详细的测试用例和测试步骤，可能导致测试过程中出现遗漏或疏忽。
改进建议：

[*]完善测试用例：根据需求文档和功能描述，编写详细的测试用例和测试步骤，确保每个功能点都能得到充分的测试。
[*]引入自动化测试：使用自动化测试工具（如Selenium、Appium等）来提高测试效率和覆盖率，减少人工测试的遗漏和疏忽。
[*]定期进行回归测试：在每次需求变更和版本发布前，进行回归测试，确保已有的功能不受影响。
场景三 产品经理与测试均没有需求评审意识

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进一步分析并提出针对软件项目过程改进的具体建议。
1. 沟通与协作流程优化
当前问题：

[*]沟通渠道不明确：产品经理黄同学直接向前端研发工程师刘同学和韩杰（可能是另一个前端或相关角色）传达工作安排，但没有涉及其他相关角色（如项目经理、后端工程师等）。
[*]信息传递不完整：在对话中，黄同学提到“下周的工作安排是开发订单购买型会员”，但没有详细说明具体需求、优先级和截止日期等关键信息。
改进建议：

[*]建立标准化沟通模板：制定一套标准化的需求传达模板，包括需求描述、优先级、截止日期、相关文档链接等关键信息，确保每次沟通都能提供完整的信息。
[*]明确沟通渠道和责任人：确定不同阶段和类型的需求对应的沟通渠道和责任人，例如需求确认由产品经理负责，技术实现由项目经理协调前后端研发工程师。
[*]引入协作工具：使用项目管理工具（如Jira、Trello等）来跟踪需求和任务分配，确保每个需求都有明确的责任人和截止日期，并且所有相关方都能及时获取信息。
2. 需求管理和变更控制
当前问题：

[*]需求变更频繁：从对话中可以看出，黄同学提到“内容改变不大”，这表明需求可能存在一定的变更，但缺乏正式的变更控制流程。
[*]需求细节不清晰：虽然提供了部分界面设计图和流程图，但缺乏详细的业务逻辑和交互说明，可能导致开发过程中出现理解偏差。
改进建议：

[*]建立需求变更控制流程：制定一套需求变更控制流程，包括变更申请、评估、审批和通知等环节，确保每次需求变更都能得到正式的记录和处理。
[*]编写详细的需求文档：在需求确认阶段，编写详细的需求文档，包括业务背景、功能描述、交互流程、数据接口等信息，确保所有相关方对需求有统一的理解。
[*]定期需求评审会议：组织定期的需求评审会议，邀请所有相关方参与，共同讨论和确认需求细节，减少后续开发过程中的误解和返工。
3. 开发与测试协同
当前问题：

[*]测试参与不足：在对话中没有看到测试工程师骆同学的参与，可能导致开发完成后才发现一些质量问题。
[*]开发与测试脱节：缺乏有效的开发与测试协同机制，可能导致测试人员无法及时跟进开发进度，影响整体项目进度。
改进建议：

[*]引入敏捷开发模式：采用敏捷开发模式，将开发和测试紧密结合，通过短周期的迭代开发和持续集成，确保每次迭代都能产出可测试的成果。
[*]建立开发与测试协同机制：制定开发与测试协同机制，包括代码审查、单元测试、集成测试等环节，确保开发过程中能够及时发现和解决问题。
[*]定期开发与测试同步会议：组织定期的开发与测试同步会议，邀请开发人员和测试人员共同参与，讨论当前开发进度和测试计划，确保双方能够有效协同。
4. 项目管理和监控
当前问题：

[*]项目进度监控不足：从对话中可以看出，团队成员主要关注当前的需求和任务，缺乏对项目整体进度和风险的监控。
[*]任务分配不明确：在对话中没有明确提到任务的具体分配和责任分工，可能导致任务执行过程中出现混乱。
改进建议：

[*]引入项目管理工具：使用项目管理工具（如Jira、Trello等）对项目进度和任务进行跟踪和管理，确保每个任务都有明确的责任人和截止日期。
[*]定期项目评审会议：定期召开项目评审会议，总结项目进展，识别潜在的风险和问题，并制定相应的应对措施。
[*]明确角色职责：制定详细的项目计划和角色职责说明书，明确每个团队成员的职责和任务，确保每个人都清楚自己的工作内容和目标。
场景四 产品设计体验差

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过程改进

进一步分析当前软件项目过程中的问题，并提出相应的改进建议。
1. 需求沟通与理解
当前问题：

[*]需求理解不一致：从对话中可以看出，项目经理刘同学提到“先上架一遍自营，然后在上架一遍分销”，而产品经理黄同学则认为“会员不需要上架商品嘛，直接在商城里面选就可以了”。这表明团队成员对需求的理解存在差异。
[*]缺乏详细的需求说明：对话中没有提供详细的业务背景、功能描述和交互流程等信息，可能导致开发过程中出现理解偏差。
改进建议：

[*]明确需求文档：在需求确认阶段，编写详细的需求文档，包括业务背景、功能描述、交互流程、数据接口等信息，确保所有相关方对需求有统一的理解。
[*]定期需求评审会议：组织定期的需求评审会议，邀请所有相关方参与，共同讨论和确认需求细节，减少后续开发过程中的误解和返工。
[*]建立需求变更控制流程：制定一套需求变更控制流程，包括变更申请、评估、审批和通知等环节，确保每次需求变更都能得到正式的记录和处理。
2. 跨部门沟通与协作
当前问题：

[*]沟通渠道不畅通：从对话中可以看出，不同角色之间的沟通较为随意，缺乏正式的沟通渠道和机制。
[*]信息传递不完整：在对话中，项目经理刘同学提到“不是你跟老徐之前商量的要把分销商城独立出来嘛”，但没有详细说明具体背景和原因，可能导致其他团队成员无法全面了解情况。
改进建议：

[*]建立标准化沟通模板：制定一套标准化的沟通模板，包括需求描述、优先级、截止日期、相关文档链接等关键信息，确保每次沟通都能提供完整的信息。
[*]明确沟通渠道和责任人：确定不同阶段和类型的需求对应的沟通渠道和责任人，例如需求确认由产品经理负责，技术实现由项目经理协调前后端研发工程师。
[*]引入协作工具：使用项目管理工具（如Jira、Trello等）来跟踪需求和任务分配，确保每个需求都有明确的责任人和截止日期，并且所有相关方都能及时获取信息。
3. 项目管理和监控
当前问题：

[*]项目进度监控不足：从对话中可以看出，团队成员主要关注当前的需求和任务，缺乏对项目整体进度和风险的监控。
[*]任务分配不明确：在对话中没有明确提到任务的具体分配和责任分工，可能导致任务执行过程中出现混乱。
改进建议：

[*]引入项目管理工具：使用项目管理工具（如Jira、Trello等）对项目进度和任务进行跟踪和管理，确保每个任务都有明确的责任人和截止日期。
[*]定期项目评审会议：定期召开项目评审会议，总结项目进展，识别潜在的风险和问题，并制定相应的应对措施。
[*]明确角色职责：制定详细的项目计划和角色职责说明书，明确每个团队成员的职责和任务，确保每个人都清楚自己的工作内容和目标。
4. 开发与测试协同
当前问题：

[*]测试参与不足：在对话中没有看到测试工程师骆同学的参与，可能导致开发完成后才发现一些质量问题。
[*]开发与测试脱节：缺乏有效的开发与测试协同机制，可能导致测试人员无法及时跟进开发进度，影响整体项目进度。
改进建议：

[*]引入敏捷开发模式：采用敏捷开发模式，将开发和测试紧密结合，通过短周期的迭代开发和持续集成，确保每次迭代都能产出可测试的成果。
[*]建立开发与测试协同机制：制定开发与测试协同机制，包括代码审查、单元测试、集成测试等环节，确保开发过程中能够及时发现和解决问题。
[*]定期开发与测试同步会议：组织定期的开发与测试同步会议，邀请开发人员和测试人员共同参与，讨论当前开发进度和测试计划，确保双方能够有效协同。
5. 知识共享与培训
当前问题：

[*]经验分享不足：在对话中，项目经理刘同学提到“不是你跟老徐之前商量的要把分销商城独立出来嘛”，这表明某些特定的知识和经验只掌握在少数人手中。
[*]培训不足：团队成员可能对系统的某些功能和操作不够熟悉，导致在遇到问题时无法快速解决。
改进建议：

[*]建立知识库：将常见问题及其解决方案记录在知识库中，方便团队成员查阅和学习。
[*]定期培训和分享会：组织定期的技术培训和经验分享会，鼓励团队成员分享解决问题的经验和技巧，促进团队整体能力的提升。
[*]跨部门交流：鼓励不同角色之间的交流和合作，例如前端研发工程师和测试工程师可以定期进行技术交流，共同提高技术水平。
产品设计改进

分析当前产品设计过程中存在的问题，并提出相应的改进建议。
1. 需求沟通与理解
当前问题：

[*]需求理解不一致：从对话中可以看出，项目经理刘同学提到“先上架一遍自营，然后在上架一遍分销”，而产品经理黄同学则认为“会员不需要上架商品嘛，直接在商城里面选就可以了”。这表明团队成员对需求的理解存在差异。
[*]缺乏详细的需求说明：对话中没有提供详细的业务背景、功能描述和交互流程等信息，可能导致开发过程中出现理解偏差。
改进建议：

[*]明确需求文档：在需求确认阶段，编写详细的需求文档，包括业务背景、功能描述、交互流程、数据接口等信息，确保所有相关方对需求有统一的理解。
[*]定期需求评审会议：组织定期的需求评审会议，邀请所有相关方参与，共同讨论和确认需求细节，减少后续开发过程中的误解和返工。
[*]建立需求变更控制流程：制定一套需求变更控制流程，包括变更申请、评估、审批和通知等环节，确保每次需求变更都能得到正式的记录和处理。
2. 跨部门沟通与协作
当前问题：

[*]沟通渠道不畅通：从对话中可以看出，不同角色之间的沟通较为随意，缺乏正式的沟通渠道和机制。
[*]信息传递不完整：在对话中，项目经理刘同学提到“不是你跟老徐之前商量的要把分销商城独立出来嘛”，但没有详细说明具体背景和原因，可能导致其他团队成员无法全面了解情况。
改进建议：

[*]建立标准化沟通模板：制定一套标准化的沟通模板，包括需求描述、优先级、截止日期、相关文档链接等关键信息，确保每次沟通都能提供完整的信息。
[*]明确沟通渠道和责任人：确定不同阶段和类型的需求对应的沟通渠道和责任人，例如需求确认由产品经理负责，技术实现由项目经理协调前后端研发工程师。
[*]引入协作工具：使用项目管理工具（如Jira、Trello等）来跟踪需求和任务分配，确保每个需求都有明确的责任人和截止日期，并且所有相关方都能及时获取信息。
3. 产品设计改进
当前问题：

[*]产品设计不合理：从对话中可以看出，项目经理刘同学提到“其实这个自营这里我现在看它有点尴尬”，这表明当前的产品设计可能存在不合理之处。
[*]用户体验不佳：产品经理黄同学提到“会员不需要上架商品嘛，直接在商城里面选就可以了”，这表明当前的产品设计可能没有充分考虑用户体验。
改进建议：

[*]用户研究与反馈：进行用户研究和反馈收集，了解用户的真实需求和使用习惯，为产品设计提供依据。
[*]优化产品设计：根据用户研究和反馈结果，优化产品设计，提高产品的易用性和用户体验。
[*]原型设计与测试：在产品设计阶段，制作原型并进行用户测试，收集用户的反馈意见，不断迭代优化产品设计。
4. 项目管理和监控
当前问题：

[*]项目进度监控不足：从对话中可以看出，团队成员主要关注当前的需求和任务，缺乏对项目整体进度和风险的监控。
[*]任务分配不明确：在对话中没有明确提到任务的具体分配和责任分工，可能导致任务执行过程中出现混乱。
改进建议：

[*]引入项目管理工具：使用项目管理工具（如Jira、Trello等）对项目进度和任务进行跟踪和管理，确保每个任务都有明确的责任人和截止日期。
[*]定期项目评审会议：定期召开项目评审会议，总结项目进展，识别潜在的风险和问题，并制定相应的应对措施。
[*]明确角色职责：制定详细的项目计划和角色职责说明书，明确每个团队成员的职责和任务，确保每个人都清楚自己的工作内容和目标。
5. 知识共享与培训
当前问题：

[*]经验分享不足：在对话中，项目经理刘同学提到“不是你跟老徐之前商量的要把分销商城独立出来嘛”，这表明某些特定的知识和经验只掌握在少数人手中。
[*]培训不足：团队成员可能对系统的某些功能和操作不够熟悉，导致在遇到问题时无法快速解决。
改进建议：

[*]建立知识库：将常见问题及其解决方案记录在知识库中，方便团队成员查阅和学习。
[*]定期培训和分享会：组织定期的技术培训和经验分享会，鼓励团队成员分享解决问题的经验和技巧，促进团队整体能力的提升。
[*]跨部门交流：鼓励不同角色之间的交流和合作，例如前端研发工程师和测试工程师可以定期进行技术交流，共同提高技术水平。
场景五 需求优先级不明确

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当前产品设计过程中存在的问题，并提出相应的改进建议。
1. 需求管理与方向明确性
当前问题：

[*]需求过多且方向混乱：从对话中可以看出，前端研发工程师刘同学提到“不是说功能乱，是需求多 方向乱”，这表明当前的需求管理存在问题，导致团队成员感到困惑和疲惫。
[*]缺乏清晰的产品方向：产品经理黄同学提到“让你去专门伺候小胖子你又不同意”，这表明团队成员对产品的整体方向和目标不够明确。
改进建议：

[*]制定清晰的产品路线图：产品经理需要制定清晰的产品路线图，明确产品的长期目标和短期目标，并将这些目标分解为具体的任务和里程碑。
[*]定期进行需求评审：组织定期的需求评审会议，邀请所有相关方参与，共同讨论和确认需求的优先级和可行性，减少不必要的需求和重复工作。
[*]建立需求变更控制流程：制定一套需求变更控制流程，包括变更申请、评估、审批和通知等环节，确保每次需求变更都能得到正式的记录和处理。
2. 团队协作与沟通
当前问题：

[*]团队协作不畅：从对话中可以看出，项目经理刘同学提到“还有啥需求进来了？？？”，这表明团队成员之间的沟通和协作存在一定的问题。
[*]责任分工不明确：在对话中没有明确提到每个团队成员的具体职责和任务分配，可能导致任务执行过程中出现混乱。
改进建议：

[*]明确角色职责：制定详细的项目计划和角色职责说明书，明确每个团队成员的职责和任务，确保每个人都清楚自己的工作内容和目标。
[*]建立标准化沟通模板：制定一套标准化的沟通模板，包括需求描述、优先级、截止日期、相关文档链接等关键信息，确保每次沟通都能提供完整的信息。
[*]引入协作工具：使用项目管理工具（如Jira、Trello等）来跟踪需求和任务分配，确保每个需求都有明确的责任人和截止日期，并且所有相关方都能及时获取信息。
3. 产品设计优化
当前问题：

[*]产品设计不合理：从对话中可以看出，项目经理刘同学提到“我在思考，后续除了推n回本的要展示出来，其余的模式全部隐藏，需要啥在配置”，这表明当前的产品设计可能存在不合理之处。
[*]用户体验不佳：前端研发工程师伍同学提到“多而不精”，这表明当前的产品设计可能没有充分考虑用户体验。
改进建议：

[*]用户研究与反馈：进行用户研究和反馈收集，了解用户的真实需求和使用习惯，为产品设计提供依据。
[*]优化产品设计：根据用户研究和反馈结果，优化产品设计，提高产品的易用性和用户体验。
[*]原型设计与测试：在产品设计阶段，制作原型并进行用户测试，收集用户的反馈意见，不断迭代优化产品设计。
4. 技术实现与支持
当前问题：

[*]技术实现复杂：从对话中可以看出，后端工程师成同学提到“对，但是有个好处，将来定制起来很方便”，这表明当前的技术实现可能存在一定的复杂性。
[*]技术支持不足：在对话中没有看到测试工程师骆同学的参与，可能导致开发完成后才发现一些质量问题。
改进建议：

[*]引入敏捷开发模式：采用敏捷开发模式，将开发和测试紧密结合，通过短周期的迭代开发和持续集成，确保每次迭代都能产出可测试的成果。
[*]建立开发与测试协同机制：制定开发与测试协同机制，包括代码审查、单元测试、集成测试等环节，确保开发过程中能够及时发现和解决问题。
[*]定期开发与测试同步会议：组织定期的开发与测试同步会议，邀请开发人员和测试人员共同参与，讨论当前开发进度和测试计划，确保双方能够有效协同。
5. 知识共享与培训
当前问题：

[*]经验分享不足：在对话中，项目经理刘同学提到“温总金白水清的不太想黄总你来烤他。。。@再不能卖萌”，这表明某些特定的知识和经验只掌握在少数人手中。
[*]培训不足：团队成员可能对系统的某些功能和操作不够熟悉，导致在遇到问题时无法快速解决。
改进建议：

[*]建立知识库：将常见问题及其解决方案记录在知识库中，方便团队成员查阅和学习。
[*]定期培训和分享会：组织定期的技术培训和经验分享会，鼓励团队成员分享解决问题的经验和技巧，促进团队整体能力的提升。
[*]跨部门交流：鼓励不同角色之间的交流和合作，例如前端研发工程师和测试工程师可以定期进行技术交流，共同提高技术水平。


总结

软件项目过程改进结合AI的意义，在于通过人工智能技术的赋能，实现开发流程的智能化升级，从而在效率、质量、成本、决策等多个维度实现突破性提升。以下是具体意义的分析：
一、提升开发效率，缩短项目周期

[*]自动化代码生成与优化

[*]场景：AI工具（如GitHub Copilot、DeepCode）可根据自然语言描述生成代码片段，甚至完整函数，减少重复编码工作。
[*]案例：某团队使用AI生成API接口代码，开发效率提升40%，代码错误率降低30%。

[*]智能测试与缺陷预测

[*]场景：AI自动生成测试用例，覆盖边界值、异常场景，并通过历史缺陷数据预测高风险模块。
[*]数据：Testim.io工具使测试覆盖率提升50%，缺陷发现时间缩短60%。

[*]动态资源调度

[*]场景：AI监控CI/CD流水线，预测构建失败风险，动态调整部署策略。
[*]效果：某企业通过AI优化构建流程，部署失败率降低70%，交付周期缩短25%。

二、提高软件质量，降低维护成本

[*]精准需求管理

[*]场景：AI通过NLP分析需求文档，检测模糊描述、冲突需求，并预测潜在变更风险。
[*]案例：某金融项目通过AI需求分析，需求遗漏率下降50%，返工成本减少40%。

[*]代码质量智能化审查

[*]场景：AI静态分析代码，检测安全漏洞、性能瓶颈，并提供优化建议（如减少复杂度）。
[*]数据：SonarQube工具使代码缺陷密度降低60%，可维护性指数提升35%。

[*]预测性运维

[*]场景：AI分析日志数据，提前发现性能瓶颈，动态调整资源分配。
[*]效果：某电商平台通过AI运维，系统稳定性提升80%，宕机时间减少90%。

三、优化决策支持，增强战略灵活性

[*]数据驱动的项目规划

[*]场景：AI分析历史项目数据，预测开发周期、资源需求及风险点。
[*]案例：某团队通过AI预测模型，项目延期风险降低65%，资源浪费减少50%。

[*]质量趋势预测

[*]场景：AI基于缺陷数据预测软件质量趋势（如用户满意度），提前采取改进措施。
[*]数据：某企业通过质量预测模型，用户投诉率下降70%，产品迭代速度提升2倍。

四、降低技术门槛，扩展人才边界

[*]低代码/无代码开发

[*]场景：AI将自然语言需求转化为代码，降低开发门槛。
[*]案例：某企业通过AI辅助工具，非专业开发者参与项目比例提升30%，开发成本降低40%。

[*]智能化知识管理

[*]场景：AI构建项目知识图谱，自动更新文档，提升团队协作效率。
[*]效果：某团队通过知识图谱，新人上手时间缩短50%，沟通成本减少60%。

五、应对复杂挑战，提升组织竞争力

[*]安全威胁防御

[*]场景：AI扫描代码库，检测零日漏洞，动态调整安全策略。
[*]数据：某企业通过AI安全工具，漏洞修复时间缩短80%，攻击成功率下降90%。

[*]个性化用户体验优化

[*]场景：AI分析用户行为数据，生成定制化界面设计。
[*]案例：某社交APP通过AI设计，用户留存率提升15%，功能使用率增长40%。




AI驱动的软件项目过程改进的核心价值


[*]效率革命：通过自动化和智能化，将开发周期缩短50%以上。
[*]质量跃升：缺陷率降低60%-80%，系统稳定性显著提升。
[*]成本优化：资源浪费减少50%，维护成本降低40%。
[*]战略赋能：数据驱动决策使组织响应市场变化的速度提升3倍。
AI的融入，使软件项目过程改进从“经验驱动”转向“数据驱动”，从“事后修复”升级为“预测性优化”，最终构建起高效、高质量、高适应性的现代化开发体系。
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作者：Petter Liu
出处：http://www.cnblogs.com/wintersun/
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