Performs a comprehensive cross-functional organizational health assessment by scoring eight key dimensions (Financial, Revenue, Product, Engineering, People, Operations, Security, Market) on a traffic-light scale. It generates a dashboard with specific metrics, identifies at-risk functions, and provides drill-down recommendations based on C-suite benchmarks.
Say it in your own words; the assistant finds this recipe by itself. Examples:
Use this skill when a user requests an overall assessment of company health, needs to prepare a status report for a board meeting, or wants to identify which specific functional areas (like engineering or finance) are underperforming. It is appropriate when the user provides key performance indicators or asks for a 'health check' across multiple departments rather than a single metric analysis.
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: - Runway — months at current burn (Green: >12, Yellow: 6-12, Red: <6) - Burn multiple — net burn / net new ARR (Green: <1.5x, Yellow: 1.5-2.5x, Red: >2.5x) - Gross margin — SaaS target: >65% (Green: >70%, Yellow: 55-70%, Red: <55%) - MoM growth rate — contextual by stage (see benchmarks) - Revenue concentration — top customer % of ARR (Green: <15%, Yellow: 15-25%, Red: >25%)
What it measures: Are customers staying, growing, and recommending us?
Key metrics: - NRR (Net Revenue Retention) — Green: >110%, Yellow: 100-110%, Red: <100% - Logo churn rate (annualized) — Green: <5%, Yellow: 5-10%, Red: >10% - Pipeline coverage (next quarter) — Green: >3x, Yellow: 2-3x, Red: <2x - CAC payback period — Green: <12 months, Yellow: 12-18, Red: >18 months - Average ACV trend — directional: growing, flat, declining
What it measures: Do customers love and use the product?
Key metrics: - NPS — Green: >40, Yellow: 20-40, Red: <20 - DAU/MAU ratio — engagement proxy (Green: >40%, Yellow: 20-40%, Red: <20%) - Core feature adoption — % of users using primary value feature (Green: >60%) - Time-to-value — days from signup to first core action (lower is better) - Customer satisfaction (CSAT) — Green: >4.2/5, Yellow: 3.5-4.2, Red: <3.5
What it measures: Can we ship reliably and sustain velocity?
Key metrics: - Deployment frequency — Green: daily, Yellow: weekly, Red: monthly or less - Change failure rate — % of deployments causing incidents (Green: <5%, Red: >15%) - Mean time to recovery (MTTR) — Green: <1 hour, Yellow: 1-4 hours, Red: >4 hours - Tech debt ratio — % of sprint capacity on debt (Green: <20%, Yellow: 20-35%, Red: >35%) - Incident frequency — P0/P1 per month (Green: <2, Yellow: 2-5, Red: >5)
What it measures: Is the team stable, engaged, and growing?
Key metrics: - Regrettable attrition (annualized) — Green: <10%, Yellow: 10-20%, Red: >20% - Engagement score — (eNPS or similar; Green: >30, Yellow: 0-30, Red: <0) - Time-to-fill (avg days) — Green: <45, Yellow: 45-90, Red: >90 - Manager-to-IC ratio — Green: 1:5–1:8, Yellow: 1:3–1:5 or 1:8–1:12, Red: outside - Internal promotion rate — at least 25-30% of senior roles filled internally
What it measures: Are we executing our strategy with discipline?
Key metrics: - OKR completion rate — % of key results hitting target (Green: >70%, Yellow: 50-70%, Red: <50%) - Decision cycle time — days from decision needed to decision made (Green: <48h, Yellow: 48h-1w) - Meeting effectiveness — % of meetings with clear outcome (qualitative) - Process maturity — level 1-5 scale (see COO advisor) - Cross-functional initiative completion — % on time, on scope
What it measures: Are we protecting customers and maintaining compliance?
Key metrics: - Security incidents (last 90 days) — Green: 0, Yellow: 1-2 minor, Red: 1+ major - Compliance status — certifications current/in-progress vs. overdue - Vulnerability remediation SLA — % of critical CVEs patched within SLA (Green: 100%) - Security training completion — % of team current (Green: >95%) - Pen test recency — Green: <12 months, Yellow: 12-24, Red: >24 months
What it measures: Are we winning in the market and growing efficiently?
Key metrics: - CAC trend — improving, flat, or worsening QoQ - Organic vs paid lead mix — more organic = healthier (less fragile) - Win rate — % of qualified opportunities closed-won (Green: >25%, Yellow: 15-25%, Red: <15%) - Competitive win rate — against primary competitors specifically - Brand NPS — awareness + preference scores in ICP
Each dimension is scored 1-10 with traffic light: - 🟢 Green (7-10): Healthy — maintain and optimize - 🟡 Yellow (4-6): Watch — trend matters; improving or declining? - 🔴 Red (1-3): Action required — address within 30 days
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: - Missing metric → excluded from score, flagged as "[data needed]" - Score still valid for available dimensions - Report flags which gaps to fill for next cycle
references/health-benchmarks.md — benchmarks by stage (Seed, A, B, C)scripts/health_scorer.py — CLI scoring tool with traffic light outputLICENSESKILL.mdreferences/health-benchmarks.mdscripts/health_scorer.pyVendored from alirezarezvani/claude-skills, commit 27cfcd0fb0a4, path c-level-advisor/skills/org-health-diagnostic, licence MIT. The upstream licence file ships inside the skill.