Assess company health across eight areas, including finance, revenue, people, and operations. Turn available metrics into scores and traffic light ratings, identify risks across departments, and outline improvement priorities while flagging missing data.
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Cross-functional organizational health check combining signals from all C-suite roles. Scores 8 dimensions on a traffic-light scale with drill-down recommendations. Use when assessing overall company health, preparing for board reviews, identifying at-risk functions, or when user mentions org health, health check, or health dashboard.
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Eight dimensions. Traffic lights. Real benchmarks. Surfaces the problems you don't know you have.
org health, organizational health, health diagnostic, health dashboard, health check, company health, functional health, team health, startup health, health scorecard, health assessment, risk dashboard
python scripts/health_scorer.py # Guided CLI — enter metrics, get scored dashboard
python scripts/health_scorer.py --json # Output raw JSON for integration
Or describe your metrics in natural language:
"Run an org health check" — paste your key metrics or answer prompts "Score our [financial|revenue|product|engineering|people|ops|security|market] health" — single-dimension deep dive
What it measures: Can we fund operations and invest in growth?
Key metrics:
What it measures: Are customers staying, growing, and recommending us?
Key metrics:
What it measures: Do customers love and use the product?
Key metrics:
What it measures: Can we ship reliably and sustain velocity?
Key metrics:
What it measures: Is the team stable, engaged, and growing?
Key metrics:
What it measures: Are we executing our strategy with discipline?
Key metrics:
What it measures: Are we protecting customers and maintaining compliance?
Key metrics:
What it measures: Are we winning in the market and growing efficiently?
Key metrics:
Each dimension is scored 1-10 with traffic light:
Overall Health Score:
Weighted average by company stage (see references/health-benchmarks.md for weights).
| If this dimension is red... | Watch these dimensions next |
|---|---|
| Financial Health | People (freeze hiring) → Engineering (freeze infra) → Product (cut scope) |
| Revenue Health | Financial (cash gap) → People (attrition risk) → Market (lose positioning) |
| People Health | Engineering (velocity drops) → Product (quality drops) → Revenue (churn rises) |
| Engineering Health | Product (features slip) → Revenue (deals stall on product) |
| Product Health | Revenue (NRR drops, churn rises) → Market (CAC rises; referrals dry up) |
| Operational Health | All dimensions degrade over time (execution failure cascades everywhere) |
ORG HEALTH DIAGNOSTIC — [Company] — [Date]
Stage: [Seed/A/B/C] Overall: [Score]/10 Trend: [↑ Improving / → Stable / ↓ Declining]
DIMENSION SCORES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💰 Financial 🟢 8.2 Runway 14mo, burn 1.6x — strong
📈 Revenue 🟡 5.8 NRR 104%, pipeline thin (1.8x coverage)
🚀 Product 🟢 7.4 NPS 42, DAU/MAU 38%
⚙️ Engineering 🟡 5.2 Debt at 30%, MTTR 3.2h
👥 People 🔴 3.8 Attrition 24%, eng morale low
🔄 Operations 🟡 6.0 OKR 65% completion
🔒 Security 🟢 7.8 SOC 2 Type II complete, 0 incidents
📣 Market 🟡 5.5 CAC rising, win rate dropped to 22%
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TOP PRIORITIES
🔴 [1] People: attrition at 24% — engineering velocity will drop in 60 days
Action: CHRO + CEO to run retention audit; target top 5 at-risk this week
🟡 [2] Revenue: pipeline coverage at 1.8x — Q+1 miss risk is high
Action: CRO to add 3 qualified opps within 30 days or shift forecast down
🟡 [3] Engineering: tech debt at 30% of sprint — shipping will slow by Q3
Action: CTO to propose debt sprint plan; COO to protect capacity
WATCH
→ People → Engineering cascade risk if attrition continues (see dimension interactions)
You don't need all metrics to run a diagnostic. The tool handles partial data:
references/health-benchmarks.md — benchmarks by stage (Seed, A, B, C)scripts/health_scorer.py — CLI scoring tool with traffic light output还没有评价。欢迎分享你的使用感受。
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Audit web applications for accessibility issues against WCAG 2.2 Level A and AA, the web accessibility standards. Get framework-specific code fixes, contrast checks, verification steps, and reports, with options for automated checks in development pipelines.
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Plan A/B tests that compare page variations, from headlines to pricing layouts. Define a hypothesis, choose success metrics, calculate sample size and duration, and prepare launch checks and results reports to support decisions.
中文简介正在准备中。当前显示英语简介。
Create paid ad headlines and body copy tailored to each platform's character limits. Use existing performance data to develop variations, explore new messaging angles, and check copy for length, quality, and potential rejection risks.
中文简介正在准备中。当前显示英语简介。
Review code changes from three critical perspectives: production failures, maintainability, and security. Get a consolidated report that ranks findings by severity and provides merge guidance, helping examine assumptions that an ordinary self-review may overlook.
中文简介正在准备中。当前显示英语简介。
Audit and improve content intended for citation in AI answers. Review evidence, author information, and structure, generate revised content and structured metadata, and keep a local record of observed citations across AI services.
中文简介正在准备中。当前显示英语简介。
Create signed records for consequential agent actions such as deployments, deletions, and payments. Decide which actions need evidence, record the agent, action, target, and policy, then verify the resulting certificate offline to detect later changes.
中文简介正在准备中。当前显示英语简介。