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project_health_dashboard.pypython3 scripts/project_health_dashboard.py assets/sample_project_data.jsonrisk_matrix_analyzer.pypython3 scripts/risk_matrix_analyzer.py assets/sample_project_data.jsonresource_capacity_planner.pypython3 scripts/resource_capacity_planner.py assets/sample_project_data.jsonproject_health_dashboard.pypython3 scripts/project_health_dashboard.py assets/sample_project_data.jsonrisk_matrix_analyzer.pypython3 scripts/risk_matrix_analyzer.py assets/sample_project_data.jsonresource_capacity_planner.pypython3 scripts/resource_capacity_planner.py assets/sample_project_data.jsonWSJF Score = (User Value + Time Criticality + Risk Reduction) ÷ Job Size
Application Context:
- Resource-constrained environments
- Fast-moving competitive landscapes
- Agile/SAFe methodology adoption
- Clear cost-of-delay quantification availableRICE Score = (Reach × Impact × Confidence) ÷ Effort
Best for:
- Customer-facing initiatives
- Marketing and growth projects
- When reach metrics are quantifiable
- Data-driven product decisionsICE Score = (Impact + Confidence + Ease) ÷ 3
Optimal when:
- Quick prioritization needed
- Brainstorming and ideation phases
- Limited analysis time available
- Cross-functional team alignment requiredreferences/portfolio-prioritization-models.mdWSJF评分 =(用户价值 + 时间紧迫性 + 风险降低)÷ 作业规模
应用场景:
- 资源受限环境
- 快速变化的竞争格局
- 采用敏捷/SAFe方法论
- 可明确量化延迟成本RICE评分 =(覆盖范围 × 影响 × 置信度)÷ 工作量
最佳适用场景:
- 面向客户的举措
- 营销与增长项目
- 可量化覆盖范围指标时
- 数据驱动的产品决策ICE评分 =(影响 + 置信度 + 易用性)÷ 3
最优适用场景:
- 需要快速优先级排序时
- 头脑风暴与构思阶段
- 分析时间有限时
- 需要跨职能团队对齐时references/portfolio-prioritization-models.mdreferences/risk-management-framework.mdExpected Value = (Optimistic + 4×Most Likely + Pessimistic) ÷ 6
Standard Deviation = (Pessimistic - Optimistic) ÷ 6EMV = Σ(Probability × Financial Impact) for all risk scenarios
Risk-Adjusted Budget = Base Budget × (1 + Risk Premium)
Risk Premium = Portfolio Risk Score × Risk Tolerance FactorPortfolio Risk = √(Σ Individual Risks² + 2Σ Correlation×Risk1×Risk2)references/risk-management-framework.md预期值 =(乐观值 + 4×最可能值 + 悲观值)÷ 6
标准差 =(悲观值 - 乐观值)÷ 6EMV = Σ(所有风险场景的概率 × 财务影响)
风险调整后预算 = 基准预算 ×(1 + 风险溢价)
风险溢价 = 项目组合风险评分 × 风险容忍因子项目组合风险 = √(Σ 单个风险² + 2Σ 相关性×风险1×风险2)assets/project_charter_template.mdassets/project_charter_template.mdassets/executive_report_template.mdassets/executive_report_template.mdassets/raci_matrix_template.mdassets/raci_matrix_template.mdassets/sample_project_data.jsonassets/sample_project_data.jsonassets/expected_output.jsonassets/expected_output.json# Update project data from JIRA, financial systems, team surveys
python3 scripts/project_health_dashboard.py current_portfolio.json# Refresh risk probabilities and impact assessments
python3 scripts/risk_matrix_analyzer.py current_portfolio.json# Review resource utilization and bottlenecks
python3 scripts/resource_capacity_planner.py current_portfolio.json# 从JIRA、财务系统、团队调查更新项目数据
python3 scripts/project_health_dashboard.py current_portfolio.json# 更新风险概率与影响评估
python3 scripts/risk_matrix_analyzer.py current_portfolio.json# 审核资源利用率与瓶颈
python3 scripts/resource_capacity_planner.py current_portfolio.json