traffic-lights

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Original

English
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Translation

Chinese

Traffic Light Charts

交通灯图表

Metadata

元数据

  • Name: traffic-lights
  • Description: Multi-criteria assessment visualization
  • Triggers: traffic light, harvey ball, stoplight, RAG status, multi-criteria
  • 名称: traffic-lights
  • 描述: 多标准评估可视化
  • 触发词: traffic light, harvey ball, stoplight, RAG status, multi-criteria

Instructions

说明

You are creating a traffic light chart to evaluate $ARGUMENTS.
Your task is to compare options across multiple criteria using a simple, visual format.
你需要创建一个交通灯图表来评估$ARGUMENTS。
你的任务是使用简单的可视化格式,在多个标准下对比不同选项。

Framework

框架

Visual Options

可视化选项

Traffic Lights (RAG)
🟢 Green = Good / On track / Above target
🟡 Yellow/Amer = Caution / At risk / Near target
🔴 Red = Bad / Off track / Below target
Harvey Balls (Half-moons)
○  Empty    = 0% / None / Very poor
◔  Quarter  = 25% / Below average
◑  Half     = 50% / Average
◕  Three-Q  = 75% / Above average
●  Full     = 100% / Excellent
Arrows
↑↑ Strong positive
↑   Positive
→   Neutral
↓   Negative
↓↓  Strong negative
交通灯(RAG)
🟢 绿色 = 良好/按计划推进/超出目标
🟡 黄色/琥珀色 = 注意/存在风险/接近目标
🔴 红色 = 不佳/偏离计划/未达目标
Harvey球(半月形)
○ 空 = 0% / 无 / 极差
◔ 四分之一 = 25% / 低于平均
◑ 一半 = 50% / 平均
◕ 四分之三 = 75% / 高于平均
● 满 = 100% / 优秀
箭头
↑↑ 强正向
↑ 正向
→ 中性
↓ 负向
↓↓ 强负向

When to Use Which

适用场景对比

Chart TypeBest For
Traffic LightsStatus, progress, alerts
Harvey BallsGradual comparison, rating
ArrowsTrends, momentum
StarsCustomer ratings, reviews
NumbersPrecision needed
图表类型最佳适用场景
交通灯状态、进度、警报
Harvey球渐进式对比、评分
箭头趋势、发展势头
星级客户评分、评价
数字需要精准数据的场景

Standard Applications

标准应用场景

  1. Competitive Comparison - Us vs. competitors on key criteria
  2. Option Evaluation - Compare alternatives for decision
  3. Status Dashboard - Project/portfolio health
  4. Gap Analysis - Current vs. desired state
  5. Vendor Selection - Compare suppliers on requirements
  1. 竞品对比 - 我方与竞品在关键标准上的对比
  2. 选项评估 - 对比备选方案以辅助决策
  3. 状态仪表盘 - 项目/项目组合健康度
  4. 差距分析 - 当前状态与预期状态的对比
  5. 供应商选择 - 根据需求对比不同供应商

Output Process

输出流程

  1. Define criteria - What dimensions matter?
  2. Set scale - What does each color/symbol mean?
  3. Gather data - Assess each option on each criterion
  4. Apply ratings - Consistent methodology
  5. Calculate overall - Summary score
  6. Visualize - Create the chart
  7. Annotate - Add context and insights
  8. Interpret - Draw conclusions
  1. 定义标准 - 哪些维度是重要的?
  2. 设定刻度 - 每种颜色/符号代表什么?
  3. 收集数据 - 在每个标准下评估每个选项
  4. 应用评分 - 使用一致的方法
  5. 计算总分 - 汇总得分
  6. 可视化 - 创建图表
  7. 添加注释 - 补充背景信息和洞察
  8. 解读 - 得出结论

Output Format

输出格式

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Traffic Light Chart: [Subject]

交通灯图表: [主题]

Assessment Criteria

评估标准

#CriterionWeightDefinition
1[Criterion 1]20%🟢=X, 🟡=Y, 🔴=Z
2[Criterion 2]15%🟢=X, 🟡=Y, 🔴=Z
3[Criterion 3]25%🟢=X, 🟡=Y, 🔴=Z
4[Criterion 4]15%🟢=X, 🟡=Y, 🔴=Z
5[Criterion 5]10%🟢=X, 🟡=Y, 🔴=Z
6[Criterion 6]15%🟢=X, 🟡=Y, 🔴=Z
Total100%

#标准权重定义
1[标准1]20%🟢=X, 🟡=Y, 🔴=Z
2[标准2]15%🟢=X, 🟡=Y, 🔴=Z
3[标准3]25%🟢=X, 🟡=Y, 🔴=Z
4[标准4]15%🟢=X, 🟡=Y, 🔴=Z
5[标准5]10%🟢=X, 🟡=Y, 🔴=Z
6[标准6]15%🟢=X, 🟡=Y, 🔴=Z
总计100%

Traffic Light Matrix

交通灯矩阵

CriterionOption AOption BOption COption D
1. [Criterion 1]🟢🟡🟢🔴
2. [Criterion 2]🟡🟢🟡🟡
3. [Criterion 3]🟢🔴🟢🟢
4. [Criterion 4]🟢🟢🟡🟡
5. [Criterion 5]🟡🟢🔴🟢
6. [Criterion 6]🔴🟡🟢🟡
OVERALL🟢🟡🟢🟡
Legend:
  • 🟢 Green = Strong / Meets requirements
  • 🟡 Yellow = Moderate / Partially meets
  • 🔴 Red = Weak / Does not meet

标准选项A选项B选项C选项D
1. [标准1]🟢🟡🟢🔴
2. [标准2]🟡🟢🟡🟡
3. [标准3]🟢🔴🟢🟢
4. [标准4]🟢🟢🟡🟡
5. [标准5]🟡🟢🔴🟢
6. [标准6]🔴🟡🟢🟡
整体评分🟢🟡🟢🟡
图例:
  • 🟢 绿色 = 优秀 / 满足要求
  • 🟡 黄色 = 中等 / 部分满足
  • 🔴 红色 = 薄弱 / 未满足

Scoring (Optional Quantitative)

评分(可选量化方式)

CriterionWeightOption AOption BOption COption D
1. [Criterion]20%3 (0.6)2 (0.4)3 (0.6)1 (0.2)
2. [Criterion]15%2 (0.3)3 (0.45)2 (0.3)2 (0.3)
3. [Criterion]25%3 (0.75)1 (0.25)3 (0.75)3 (0.75)
4. [Criterion]15%3 (0.45)3 (0.45)2 (0.3)2 (0.3)
5. [Criterion]10%2 (0.2)3 (0.3)1 (0.1)3 (0.3)
6. [Criterion]15%1 (0.15)2 (0.3)3 (0.45)2 (0.3)
WEIGHTED TOTAL100%2.452.152.502.15
RANK2nd3rd1st3rd
Scale: 1=Red, 2=Yellow, 3=Green

标准权重选项A选项B选项C选项D
1. [标准]20%3 (0.6)2 (0.4)3 (0.6)1 (0.2)
2. [标准]15%2 (0.3)3 (0.45)2 (0.3)2 (0.3)
3. [标准]25%3 (0.75)1 (0.25)3 (0.75)3 (0.75)
4. [标准]15%3 (0.45)3 (0.45)2 (0.3)2 (0.3)
5. [标准]10%2 (0.2)3 (0.3)1 (0.1)3 (0.3)
6. [标准]15%1 (0.15)2 (0.3)3 (0.45)2 (0.3)
加权总分100%2.452.152.502.15
排名第2名第3名第1名第3名
刻度: 1=红色, 2=黄色, 3=绿色

Alternative: Harvey Ball Format

替代格式:Harvey球格式

CriterionOption AOption BOption COption D
1. [Criterion]
2. [Criterion]
3. [Criterion]
4. [Criterion]
5. [Criterion]
6. [Criterion]
OVERALL
Legend:
  • ○ None (0%) | ◔ Quarter (25%) | ◑ Half (50%) | ◕ Three-Q (75%) | ● Full (100%)

标准选项A选项B选项C选项D
1. [标准]
2. [标准]
3. [标准]
4. [标准]
5. [标准]
6. [标准]
整体评分
图例:
  • ○ 无 (0%) | ◔ 四分之一 (25%) | ◑ 一半 (50%) | ◕ 四分之三 (75%) | ● 满 (100%)

Pattern Analysis

模式分析

Strengths by Option
OptionKey StrengthsKey Weaknesses
Option A[Criterion 1, 3, 4][Criterion 6]
Option B[Criterion 2, 4, 5][Criterion 3]
Option C[Criterion 1, 3, 6][Criterion 5]
Option D[Criterion 1, 3, 5][Criterion 1]
Patterns Observed
  1. [Pattern 1 - e.g., "All options score well on Criterion 4"]
  2. [Pattern 2 - e.g., "Criterion 3 shows largest differentiation"]
  3. [Pattern 3 - e.g., "No option scores green on all criteria"]

各选项优劣势
选项核心优势核心劣势
选项A[标准1, 3, 4][标准6]
选项B[标准2, 4, 5][标准3]
选项C[标准1, 3, 6][标准5]
选项D[标准1, 3, 5][标准1]
观察到的模式
  1. [模式1 - 例如:“所有选项在标准4上得分都不错”]
  2. [模式2 - 例如:“标准3的区分度最大”]
  3. [模式3 - 例如:“没有选项在所有标准上都得绿色”]

Recommendation

建议

Top Choice: [Option C]
  • Rationale: [Why this option]
  • Trade-offs: [What we give up]
Runner-up: [Option A]
  • When to consider: [Situations where this is better]
Not Recommended: [Option D]
  • Why not: [Key deficiencies]
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首选方案: [选项C]
  • 理由: [选择该选项的原因]
  • 权衡点: [需要做出的让步]
备选方案: [选项A]
  • 适用场景: [更适合该选项的情况]
不推荐方案: [选项D]
  • 原因: [核心缺陷]
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Tips

提示

  • Define criteria before rating - don't retrofit
  • Be consistent - same assessor or calibrated team
  • Don't have too many criteria (6-10 is optimal)
  • Weight criteria by importance
  • Use supporting data in appendix
  • The overall score should be a guide, not a rule
  • Patterns matter more than individual cells
  • Document the rationale for each rating
  • 先定义标准再评分 - 不要事后补全
  • 保持一致性 - 由同一评估者或校准后的团队进行评估
  • 标准数量不宜过多(6-10个为最佳)
  • 根据重要性为标准分配权重
  • 在附录中使用支撑数据
  • 整体得分仅作参考,而非绝对规则
  • 模式比单个单元格的数据更重要
  • 记录每个评分的理由

References

参考资料

  • Few, Stephen. Information Dashboard Design. 2006.
  • Tufte, Edward. Beautiful Evidence. 2006.
  • Few, Stephen. Information Dashboard Design. 2006.
  • Tufte, Edward. Beautiful Evidence. 2006.