Org Health Diagnostic
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.
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# Org Health Diagnostic Eight dimensions. Traffic lights. Real benchmarks. Surfaces the problems you don't know you have. ## Keywords org health, organizational health, health diagnostic, health dashboard, health check, company health, functional health, team health, startup health, health scorecard, health assessment, risk dashboard ## Quick Start ```bash python scripts/health_scorer.py # Guided CLI ā 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" ā paste your key metrics or answer prompts > "Score our [financial|revenue|product|engineering|people|ops|security|market] health" ā single-dimension deep dive ## The 8 Dimensions ### 1. š° Financial Health (CFO) **What it measures:** Can we fund operations and invest in growth? Key metrics: - **Runway** ā months at current burn (Green: >12, Yellow: 6-12, Red: <6) - **Burn multiple** ā net burn / net new ARR (Green: <1.5x, Yellow: 1.5-2.5x, Red: >2.5x) - **Gross margin** ā SaaS target: >65% (Green: >70%, Yellow: 55-70%, Red: <55%) - **MoM growth rate** ā contextual by stage (see benchmarks) - **Revenue concentration** ā top customer % of ARR (Green: <15%, Yellow: 15-25%, Red: >25%) ### 2. š Revenue Health (CRO) **What it measures:** Are customers staying, growing, and recommending us? Key metrics: - **NRR (Net Revenue Retention)** ā Green: >110%, Yellow: 100-110%, Red: <100% - **Logo churn rate (annualized)** ā Green: <5%, Yellow: 5-10%, Red: >10% - **Pipeline coverage (next quarter)** ā Green: >3x, Yellow: 2-3x, Red: <2x - **CAC payback period** ā Green: <12 months, Yellow: 12-18, Red: >18 months - **Average ACV trend** ā directional: growing, flat, declining ### 3. š Product Health (CPO) **What it measures:** Do customers love and use the product? Key metrics: - **NPS** ā Green: >40, Yellow: 20-40, Red: <20 - **DAU/MAU ratio** ā engagement proxy (Green: >40%, Yellow: 20-40%, Red: <20%) - **Core feature adoption** ā % of users using primary value feature (Green: >60%) - **Time-to-value** ā days from signup to first core action (lower is better) - **Customer satisfaction (CSAT)** ā Green: >4.2/5, Yellow: 3.5-4.2, Red: <3.5 ### 4. āļø Engineering Health (CTO) **What it measures:** Can we ship reliably and sustain velocity? Key metrics: - **Deployment frequency** ā Green: daily, Yellow: weekly, Red: monthly or less - **Change failure rate** ā % of deployments causing incidents (Green: <5%, Red: >15%) - **Mean time to recovery (MTTR)** ā Green: <1 hour, Yellow: 1-4 hours, Red: >4 hours - **Tech debt ratio** ā % of sprint capacity on debt (Green: <20%, Yellow: 20-35%, Red: >35%) - **Incident frequency** ā P0/P1 per month (Green: <2, Yellow: 2-5, Red: >5) ### 5. š„ People Health (CHRO) **What it measures:** Is the team stable, engaged, and growing? Key metrics: - **Regrettable attrition (annualized)** ā Green: <10%, Yellow: 10-20%, Red: >20% - **Engagement score** ā (eNPS or similar; Green: >30, Yellow: 0-30, Red: <0) - **Time-to-fill (avg days)** ā Green: <45, Yellow: 45-90, Red: >90 - **Manager-to-IC ratio** ā Green: 1:5ā1:8, Yellow: 1:3ā1:5 or 1:8ā1:12, Red: outside - **Internal promotion rate** ā at least 25-30% of senior roles filled internally ### 6. š Operational Health (COO) **What it measures:** Are we executing our strategy with discipline? Key metrics: - **OKR completion rate** ā % of key results hitting target (Green: >70%, Yellow: 50-70%, Red: <50%) - **Decision cycle time** ā days from decision needed to decision made (Green: <48h, Yellow: 48h-1w) - **Meeting effectiveness** ā % of meetings with clear outcome (qualitative) - **Process maturity** ā level 1-5 scale (see COO advisor) - **Cross-functional initiative completion** ā % on time, on scope ### 7. š Security Health (CISO) **What it measures:** Are we protecting customers and maintaining compliance? Key metrics: - **Security incidents (last 90 days)** ā Green: 0, Yellow: 1-2 minor, Red: 1+ major - **Compliance status** ā certifications current/in-progress vs. overdue - **Vulnerability remediation SLA** ā % of critical CVEs patched within SLA (Green: 100%) - **Security training completion** ā % of team current (Green: >95%) - **Pen test recency** ā Green: <12 months, Yellow: 12-24, Red: >24 months ### 8. š£ Market Health (CMO) **What it measures:** Are we winning in the market and growing efficiently? Key metrics: - **CAC trend** ā improving, flat, or worsening QoQ - **Organic vs paid lead mix** ā more organic = healthier (less fragile) - **Win rate** ā % of qualified opportunities closed-won (Green: >25%, Yellow: 15-25%, Red: <15%) - **Competitive win rate** ā against primary competitors specifically - **Brand NPS** ā awareness + preference scores in ICP --- ## Scoring & Traffic Lights Each dimension is scored 1-10 with traffic light: - š¢ **Green (7-10):** Healthy ā maintain and optimize - š” **Yellow (4-6):** Watch ā trend matters; improving or declining? - š“ **Red (1-3):** Action required ā address within 30 days **Overall Health Score:** Weighted average by company stage (see `references/health-benchmarks.md` for weights). --- ## Dimension Interactions (Why One Problem Creates Another) | If this dimension is red... | Watch these dimensions next | |-----------------------------|----------------------------| | Financial Health | People (freeze hiring) ā Engineering (freeze infra) ā Product (cut scope) | | Revenue Health | Financial (cash gap) ā People (attrition risk) ā Market (lose positioning) | | People Health | Engineering (velocity drops) ā Product (quality drops) ā Revenue (churn rises) | | Engineering Health | Product (features slip) ā Revenue (deals stall on product) | | Product Health | Revenue (NRR drops, churn rises) ā Market (CAC rises; referrals dry up) | | Operational Health | All dimensions degrade over time (execution failure cascades everywhere) | --- ## Dashboard Output Format ``` ORG HEALTH DIAGNOSTIC ā [Company] ā [Date] Stage: [Seed/A/B/C] Overall: [Score]/10 Trend: [ā Improving / ā Stable / ā Declining] DIMENSION SCORES āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā š° Financial š¢ 8.2 Runway 14mo, burn 1.6x ā strong š Revenue š” 5.8 NRR 104%, pipeline thin (1.8x coverage) š Product š¢ 7.4 NPS 42, DAU/MAU 38% āļø Engineering š” 5.2 Debt at 30%, MTTR 3.2h š„ People š“ 3.8 Attrition 24%, eng morale low š Operations š” 6.0 OKR 65% completion š Security š¢ 7.8 SOC 2 Type II complete, 0 incidents š£ Market š” 5.5 CAC rising, win rate dropped to 22% āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā TOP PRIORITIES š“ [1] People: attrition at 24% ā engineering velocity will drop in 60 days Action: CHRO + CEO to run retention audit; target top 5 at-risk this week š” [2] Revenue: pipeline coverage at 1.8x ā Q+1 miss risk is high Action: CRO to add 3 qualified opps within 30 days or shift forecast down š” [3] Engineering: tech debt at 30% of sprint ā shipping will slow by Q3 Action: CTO to propose debt sprint plan; COO to protect capacity WATCH ā People ā Engineering cascade risk if attrition continues (see dimension interactions) ``` --- ## Graceful Degradation You don't need all metrics to run a diagnostic. The tool handles partial data: - Missing metric ā excluded from score, flagged as "[data needed]" - Score still valid for available dimensions - Report flags which gaps to fill for next cycle ## References - `references/health-benchmarks.md` ā benchmarks by stage (Seed, A, B, C) - `scripts/health_scorer.py` ā CLI scoring tool with traffic light output
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