convening-experts

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Convening 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:
  1. Assemble panel (3-5 experts based on problem domain)
  2. Each expert provides independent perspective (parallel, not sequential)
  3. Synthesize recommendations with attribution
适用于需要多视角的简单问题:
  1. 组建专家组(根据问题领域匹配3-5名专家)
  2. 每位专家独立提供观点(并行输出,而非按顺序输出)
  3. 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:
  1. Round 1: Each expert analyzes problem independently
  2. Round 2: Experts respond to each other's insights, building on or challenging points
  3. Round 3 (if needed): Converge on synthesis, resolve disagreements
  4. Final synthesis: Integrated recommendations with decision framework
适用于需要协作推理的复杂问题:
  1. 第一轮:每位专家独立分析问题
  2. 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
  3. 第三轮(如有需要):达成共识,解决分歧
  4. 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.mdreferences/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

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undefined

Expert 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]
undefined

Multi-Round Format

多轮格式

undefined
undefined

Expert 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]
undefined

Expert 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