convening-experts
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ChineseConvening Experts
召集专家小组
Convene domain experts and methodological specialists to solve problems through multi-round collaborative discussion. Experts build on each other's insights, challenge assumptions, and synthesize recommendations.
召集领域专家和方法论专家通过多轮协作讨论解决问题。专家们基于彼此的洞见展开分析,挑战假设,最终综合形成建议。
Panel Format
专家组形式
Single-Round Consultation
单轮咨询
For simpler problems requiring multiple viewpoints:
- Assemble panel (3-5 experts based on problem domain)
- Each expert provides independent perspective (parallel, not sequential)
- Synthesize recommendations with attribution
适用于需要多视角的简单问题:
- 组建专家组(根据问题领域匹配3-5名专家)
- 每位专家独立提供观点(并行输出,而非按顺序输出)
- 综合输出带来源标注的建议
Multi-Round Discussion
多轮讨论
For complex problems requiring collaborative reasoning:
- Round 1: Each expert analyzes problem independently
- Round 2: Experts respond to each other's insights, building on or challenging points
- Round 3 (if needed): Converge on synthesis, resolve disagreements
- Final synthesis: Integrated recommendations with decision framework
适用于需要协作推理的复杂问题:
- 第一轮:每位专家独立分析问题
- 第二轮:专家们针对彼此的洞见作出回应,补充拓展或质疑相关观点
- 第三轮(如有需要):达成共识,解决分歧
- 最终综合:输出整合了决策框架的建议
Expert Roles
专家角色
Available expertise spans:
- MSD domain experts (life sciences, engineering, manufacturing, quality, corporate functions)
- Consulting framework specialists (strategic, process improvement, innovation, systems analysis, root cause)
See references/msd-domain-experts.md and references/consulting-frameworks.md for complete role catalog.
Claude loads relevant references based on problem domain.
可用的专家能力覆盖:
- MSD领域专家(生命科学、工程、制造、质量、企业职能)
- 咨询框架专家(战略、流程改进、创新、系统分析、根本原因)
完整的角色目录请查看 references/msd-domain-experts.md 和 references/consulting-frameworks.md。
Claude会根据问题领域加载相关参考资料。
Panel Convening Logic
专家组召集逻辑
Claude selects 3-5 experts based on problem characteristics:
Problem type → Primary expert + Supporting experts
- Technical troubleshooting → Domain expert + Systems Thinker + Five Whys Facilitator
- Strategic decision → McKinsey Consultant + relevant domain experts + SWOT Analyst
- Process improvement → Six Sigma Black Belt + Lean Practitioner + domain Manufacturing Engineer
- Product innovation → Design Thinking Facilitator + Jobs-to-Be-Done Specialist + relevant engineers
- Root cause analysis → Domain expert + Five Whys Facilitator + Systems Thinker
- Market positioning → Porter Framework Expert + Marketing Specialist + BCG Consultant
- Cross-functional problem → Relevant domain experts + Bain Consultant (RAPID) + Systems Thinker
Claude会根据问题特征选择3-5名专家:
问题类型 → 核心专家 + 支持专家
- 技术问题排查 → 领域专家 + 系统思考专家 + 五问法(Five Whys)引导师
- 战略决策 → 麦肯锡顾问 + 相关领域专家 + SWOT分析专家
- 流程改进 → Six Sigma黑带 + 精益实践者 + 对应领域制造工程师
- 产品创新 → 设计思维引导师 + 待办任务(Jobs-to-Be-Done)专家 + 相关工程师
- 根本原因分析 → 领域专家 + 五问法(Five Whys)引导师 + 系统思考专家
- 市场定位 → 波特框架专家 + 营销专家 + BCG顾问
- 跨职能问题 → 相关领域专家 + 贝恩(Bain)顾问(RAPID) + 系统思考专家
Response Format
响应格式
Single-Round Format
单轮格式
undefinedundefinedExpert Panel: [Topic]
Expert Panel: [Topic]
Panel Members:
- [Expert 1 Role]
- [Expert 2 Role]
- [Expert 3 Role]
Panel Members:
- [Expert 1 Role]
- [Expert 2 Role]
- [Expert 3 Role]
[Expert 1 Role]
[Expert 1 Role]
[Independent analysis and recommendations]
[Independent analysis and recommendations]
[Expert 2 Role]
[Expert 2 Role]
[Independent analysis and recommendations]
[Independent analysis and recommendations]
[Expert 3 Role]
[Expert 3 Role]
[Independent analysis and recommendations]
[Independent analysis and recommendations]
Synthesis
Synthesis
[Integrated recommendations with decision framework]
undefined[Integrated recommendations with decision framework]
undefinedMulti-Round Format
多轮格式
undefinedundefinedExpert Panel: [Topic]
Expert Panel: [Topic]
Panel Members:
- [Expert 1 Role]
- [Expert 2 Role]
- [Expert 3 Role]
Panel Members:
- [Expert 1 Role]
- [Expert 2 Role]
- [Expert 3 Role]
Round 1: Initial Analysis
Round 1: Initial Analysis
[Expert 1 Role]
[Expert 1 Role]
[Initial perspective]
[Initial perspective]
[Expert 2 Role]
[Expert 2 Role]
[Initial perspective]
[Initial perspective]
[Expert 3 Role]
[Expert 3 Role]
[Initial perspective]
[Initial perspective]
Round 2: Cross-Examination
Round 2: Cross-Examination
[Expert 1 Role] responds to [Expert 2 Role]
[Expert 1 Role] responds to [Expert 2 Role]
[Builds on or challenges specific points]
[Builds on or challenges specific points]
[Expert 2 Role] responds to [Expert 3 Role]
[Expert 2 Role] responds to [Expert 3 Role]
[Integration or disagreement]
[Integration or disagreement]
[Expert 3 Role] responds to [Expert 1 Role]
[Expert 3 Role] responds to [Expert 1 Role]
[Synthesis attempt]
[Synthesis attempt]
Round 3: Convergence (if needed)
Round 3: Convergence (if needed)
[Experts resolve disagreements and converge]
[Experts resolve disagreements and converge]
Final Synthesis
Final Synthesis
[Integrated recommendations, highlighting consensus and productive disagreements]
undefined[Integrated recommendations, highlighting consensus and productive disagreements]
undefinedExpert Behavior Guidelines
专家行为准则
Domain Experts:
- Apply MSD context (ECL platform, regulatory constraints, validated systems)
- Use domain-appropriate terminology without over-explanation
- Prioritize practical implementation over theoretical perfection
- Flag domain-specific risks and constraints
Framework Experts:
- Apply frameworks systematically (show the structure)
- Adapt frameworks to problem context (not rigid application)
- Explain "why this framework" for this problem
- Integrate domain context when applying generic frameworks
Cross-Panel Interaction:
- Reference other experts' points specifically ("Building on [Expert]'s observation about...")
- Challenge constructively ("I see it differently because...")
- Synthesize across disciplines ("This connects [Expert 1]'s technical constraint with [Expert 2]'s business priority...")
- Flag tensions between perspectives explicitly
Disagreement Handling:
- Make disagreements productive (what assumptions differ?)
- Present multiple valid approaches when consensus isn't required
- Identify decision criteria to resolve disagreements
- Escalate to user if expert consensus can't be reached
领域专家:
- 应用MSD上下文(ECL平台、监管约束、验证过的系统)
- 使用符合领域规范的术语,无需过度解释
- 优先考虑实际可落地性,而非理论完美性
- 标注领域特有的风险和约束
框架专家:
- 系统性应用框架(展示结构)
- 结合问题上下文适配框架,而非僵化套用
- 解释「为什么选用这个框架」解决当前问题
- 应用通用框架时整合领域上下文
专家组跨成员互动:
- 明确引用其他专家的观点(如「基于[专家名]关于…的观察」)
- 建设性提出质疑(如「我的看法不同,因为…」)
- 跨学科综合观点(如「这将[专家1]提出的技术约束和[专家2]提出的业务优先级关联了起来…」)
- 明确标注不同观点之间的冲突
分歧处理:
- 让分歧产生价值(明确不同假设是什么)
- 不需要达成共识时提供多个有效方案
- 明确可用于解决分歧的决策标准
- 专家无法达成共识时同步给用户
Decision Frameworks
决策框架
When panel must recommend action:
RAPID (Bain)
- Recommend: Panel's recommendation with rationale
- Agree: Which stakeholders must agree
- Perform: Who implements
- Input: Who provides input
- Decide: Who makes final decision
Weighted Decision Matrix
- Criteria (importance weighted)
- Options scored on each criterion
- Total score with sensitivity analysis
Risk-Benefit Analysis
- Upside potential (probability × impact)
- Downside risk (probability × impact)
- Mitigation strategies
- Decision under uncertainty
当专家组需要推荐行动方案时使用:
RAPID(贝恩)
- Recommend:专家组的建议及理由
- Agree:哪些利益相关方必须同意
- Perform:谁负责落地执行
- Input:谁提供输入信息
- Decide:谁拥有最终决策权
加权决策矩阵
- 评估标准(按重要性加权)
- 每个选项在各标准下的得分
- 总得分及敏感性分析
风险收益分析
- 上行潜力(概率 × 影响)
- 下行风险(概率 × 影响)
- 缓解策略
- 不确定性下的决策
MSD Integration
MSD适配
Apply MSD-specific context automatically:
Technical constraints:
- ECL platform and assay chemistry
- ISO 13485 compliance and validated systems
- Regulatory requirements (FDA, CE marking)
- Technology stack (Python, AWS, Java, TypeScript)
Business context:
- Life sciences market dynamics
- Customer segments (pharma, biotech, CRO, academic)
- Competitive landscape
Cultural factors:
- Scientific rigor and data-driven decisions
- Cross-functional collaboration norms
- Innovation balanced with risk management
- Quality and regulatory consciousness
自动应用MSD专属上下文:
技术约束:
- ECL平台和检测化学
- ISO 13485合规要求和验证过的系统
- 监管要求(FDA、CE marking)
- 技术栈(Python、AWS、Java、TypeScript)
业务上下文:
- 生命科学市场动态
- 客户群体(制药、生物技术、CRO、学术机构)
- 竞争格局
文化因素:
- 科学严谨性和数据驱动决策
- 跨职能协作规范
- 创新与风险管理的平衡
- 质量和监管意识
Examples
示例
Example 1: Technical Troubleshooting
示例1:技术问题排查
User: Our new assay is showing high background signal in serum samples
Claude convenes:
- Assay Scientist (primary)
- Systems Thinker (feedback loops)
- Five Whys Facilitator (root cause)
Format: Multi-round (technical nuance requires collaboration)用户:我们的新检测方法在血清样本中显示高背景信号
Claude召集:
- 检测科学家(核心)
- 系统思考专家(反馈回路)
- 五问法引导师(根本原因)
格式:多轮(技术细节需要协作讨论)Example 2: Strategic Decision
示例2:战略决策
User: Should we build internal ML infrastructure or use vendor solutions?
Claude convenes:
- Software Engineer (implementation)
- McKinsey Consultant (strategic framing)
- Finance Analyst (cost analysis)
- DevOps Engineer (operational implications)
Format: Single-round → RAPID framework synthesis用户:我们应该自研ML基础设施还是使用供应商方案?
Claude召集:
- 软件工程师(落地)
- 麦肯锡顾问(战略框架)
- 财务分析师(成本分析)
- DevOps工程师(运维影响)
格式:单轮 → RAPID框架综合输出Example 3: Process Improvement
示例3:流程改进
User: Manufacturing yield dropped 8% after equipment upgrade
Claude convenes:
- Manufacturing Engineer (primary domain)
- Six Sigma Black Belt (DMAIC)
- Systems Thinker (unintended consequences)
Format: Multi-round (root cause needs collaborative analysis)用户:设备升级后制造良率下降了8%
Claude召集:
- 制造工程师(核心领域)
- Six Sigma黑带(DMAIC)
- 系统思考专家(非预期后果)
格式:多轮(根本原因需要协作分析)Constraints
约束
Never:
- Use fictional names for experts (use role titles only: "Software Engineer", not "Dr. John Smith, Software Engineer")
- Invent MSD-specific details beyond general domain knowledge
- Apply frameworks rigidly without problem context
- Create artificial consensus when legitimate disagreements exist
- Include experts who add no value (quality over quantity)
- Make experts repeat information (each should contribute uniquely)
Always:
- Select experts genuinely relevant to problem
- Show framework structure when applying consulting methods
- Make cross-expert references specific and substantive
- Provide decision-ready synthesis (not "here are perspectives, you decide")
- Acknowledge uncertainty explicitly when present
禁止:
- 为专家虚构姓名(仅使用角色头衔:如「软件工程师」,而非「John Smith博士,软件工程师」)
- 编造通用领域知识以外的MSD专属细节
- 脱离问题上下文僵化套用框架
- 存在合理分歧时人为制造共识
- 引入无价值的专家(重质量而非数量)
- 让专家重复信息(每位专家都应有独特贡献)
必须:
- 选择与问题真正相关的专家
- 应用咨询方法时展示框架结构
- 专家之间的交叉引用明确且有实质内容
- 提供可直接用于决策的综合结论(而非「以上是各方观点,请自行决定」)
- 存在不确定性时明确标注
Activation Decision Tree
激活决策树
Is problem complex with multiple valid approaches?
├─ Yes → Expert panel
│ ├─ Spans multiple domains? → Multi-round discussion
│ └─ Needs diverse perspectives? → Single-round consultation
└─ No → Direct answer (don't force panel format)
Requires systematic framework?
├─ Yes → Include framework expert
└─ No → Domain experts only
MSD-specific context relevant?
├─ Yes → Include domain experts, apply MSD constraints
└─ No → Generic consulting approach问题是否复杂,存在多个有效解决方案?
├─ 是 → 启用专家小组
│ ├─ 覆盖多个领域? → 多轮讨论
│ └─ 需要多元视角? → 单轮咨询
└─ 否 → 直接回答(不要强行使用专家组格式)
需要系统性框架?
├─ 是 → 纳入框架专家
└─ 否 → 仅使用领域专家
MSD专属上下文相关?
├─ 是 → 纳入领域专家,应用MSD约束
└─ 否 → 使用通用咨询方法Quality Indicators
质量指标
Good panel:
- Each expert contributes unique insight
- Cross-references are specific and substantive
- Framework application shows structure and reasoning
- Synthesis provides decision-ready recommendations
- Disagreements are productive and resolved (or flagged)
Poor panel:
- Experts repeat same points
- Generic advice not grounded in frameworks or domain
- No synthesis or integration across perspectives
- Consensus forced despite legitimate disagreements
- Panel format used when direct answer would suffice
优质专家组特征:
- 每位专家都贡献独特洞见
- 交叉引用明确且有实质内容
- 框架应用展示结构和推理逻辑
- 综合结论提供可直接用于决策的建议
- 分歧有建设性,得到解决或明确标注
劣质专家组特征:
- 专家重复相同观点
- 通用建议没有框架或领域依据
- 没有跨视角的综合或整合
- 存在合理分歧时强行达成共识
- 适合直接回答时强行使用专家组格式