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.
- License 许可
- MIT
- 最近更新
- 2026-10-28
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01 前言 Front Matter
- name
- org-health-diagnostic
- license
- MIT
- metadata
- { "author": "Alireza Rezvani", "domain": "organizational-health", "updated": 1772668800000, "version": "1.0.0", "category": "c-level", "frameworks": "health-benchmarks", "python-tools": "health_scorer.py" }
- description
- 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.
02 资源文件 2
- 参考文档references/health-benchmarks.md8.9 KB
- 脚本scripts/health_scorer.py20.9 KB
03 SKILL.md 正文
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
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
The 8 Dimensions
1. ? Financial Health (CFO)
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%)
2. ? Revenue Health (CRO)
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
3. ? Product Health (CPO)
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
4. ⚙️ Engineering Health (CTO)
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)
5. ? People Health (CHRO)
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
6. ? Operational Health (COO)
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
7. ? Security Health (CISO)
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
8. ? Market Health (CMO)
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
Scoring & Traffic Lights
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).
Dimension Interactions (Why One Problem Creates Another)
| 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) |
Dashboard Output Format
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)
Graceful Degradation
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
references/health-benchmarks.md— benchmarks by stage (Seed, A, B, C)scripts/health_scorer.py— CLI scoring tool with traffic light output
04 同仓库更多 Skills
syllabus
Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Use when the user uploads a syllabus, course outline, or curriculum document and wants supplementary readings (e.g., 'create a reading list from this syllabus', 'find recent papers for my course') — even casual mentions with a syllabus attached should trigger this skill.
pulse
Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.
patent
Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search / freedom-to-operate / competitive landscape / acquisition diligence / litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Use when the user asks for patent searching or analysis (e.g., 'prior art search for [invention]', 'freedom to operate analysis for [product]'). Produces search signal, not legal advice — always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.
notebooklm
Browser automation skill for controlling Google's NotebookLM. Use when the user wants anything done in NotebookLM (e.g., 'open NotebookLM', 'check my [name] notebook', 'ask my notebook about X', 'add [source] to NotebookLM', 'generate a Video Overview from my notebook', 'use NotebookLM Studio'). Handles reading and querying notebooks, adding sources (URLs, text, files, YouTube links, synthesized content), generating Studio outputs (Audio/Video Overviews, Mind Maps, Reports incl. Briefing Doc/Study Guide/FAQ, Flashcards, Quiz, slide decks, infographics — discover the exact set from the live Studio panel; the UI evolves fast), and creating new notebooks. Requires browser automation environment — fails gracefully when unavailable.
litreview
Academic literature orientation skill that searches papers via free keyless APIs (PubMed E-utilities + OpenAlex) by default — with the Consensus MCP as an optional enhancement lane when connected — builds a strategic search plan using PICO (default) or SPIDER / Decomposition / hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5/10/20 queries) controls coverage vs. speed. Output is a 'launching pad' — an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list — that's a plain PubMed/OpenAlex (or Consensus) query.
grants
NIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance/Innovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget/scope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Use when the user asks about research funding or makes any grant-related request (e.g., 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research'). NIH-only scope — non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.