docs: Business Plan GBCM 2025-2028 consolidé - Vision métier, pricing, sections 01-13
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business-plan-2025/12-risk-mitigation.md
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# 12. RISK ANALYSIS & MITIGATION
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**Document**: Business Plan GBCM LLC 2025
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**Section**: 12 - Risk Analysis & Mitigation
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**Version**: 2.0
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**Date**: October 2025
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**Pages**: 14
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---
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## 📋 TABLE DES MATIÈRES
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- [Vue d'Ensemble](#vue-densemble)
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- [Market & Competitive Risks](#market--competitive-risks)
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- [Operational Risks](#operational-risks)
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- [Financial Risks](#financial-risks)
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- [Technology Risks](#technology-risks)
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- [People & Organization Risks](#people--organization-risks)
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- [Legal & Compliance Risks](#legal--compliance-risks)
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- [External & Macro Risks](#external--macro-risks)
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- [Risk Management Framework](#risk-management-framework)
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---
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## 🎯 VUE D'ENSEMBLE
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### Risk Philosophy: Identify, Assess, Mitigate, Monitor
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GBCM LLC adopte une approche proactive de gestion des risques - **anticiper les problèmes avant qu'ils ne surviennent**.
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**Risk Management Process**:
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1. **Identify**: List all potential risks (brainstorm, industry research)
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2. **Assess**: Rate each risk (Probability × Impact = Risk Score)
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3. **Mitigate**: Create action plans to reduce probability or impact
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4. **Monitor**: Track indicators, review quarterly
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### Risk Matrix Framework
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**Probability Scale** (1-5):
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- 1 = Rare (<10% chance)
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- 2 = Unlikely (10-30%)
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- 3 = Possible (30-50%)
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- 4 = Likely (50-75%)
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- 5 = Almost Certain (>75%)
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**Impact Scale** (1-5):
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- 1 = Negligible (minor inconvenience)
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- 2 = Minor (affects 1-2 clients or <$5K loss)
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- 3 = Moderate (affects 5-10 clients or $5K-25K loss)
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- 4 = Major (affects 20+ clients or $25K-100K loss)
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- 5 = Critical (business failure, >$100K loss)
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**Risk Score** = Probability × Impact (1-25)
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- 1-6 = Low risk (monitor, no immediate action)
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- 7-12 = Medium risk (mitigate within 6 months)
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- 13-19 = High risk (mitigate within 3 months)
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- 20-25 = Critical risk (mitigate immediately)
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---
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## 🏪 MARKET & COMPETITIVE RISKS
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### RISK 1: Market Saturation / Too Many Coaches
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**Description**: 145,000+ business coaches in US, difficult to differentiate
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**Probability**: 4 (Likely) - Market IS crowded
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**Impact**: 4 (Major) - Could struggle to acquire clients, price pressure
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**Risk Score**: **16 (HIGH)**
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**Mitigation Strategies**:
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1. **Niche Specialization** (Reduce)
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- Focus on 3 specific personas (Scale-Up CEOs, Bootstrappers, First-Time CEOs)
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- vs generic "business coach for everyone"
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- Result: Compete with 1,000 specialists, not 145,000 generalists
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2. **Tech Differentiation** (Reduce)
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- AI Success Coach™ (first-mover in SMB space, 12-18 month lead)
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- Proprietary platform (competitors use Zoom + Google Docs)
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- Result: Unique value prop ("Only AI-powered coaching for SMBs")
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3. **Proven Methodology** (Reduce)
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- Trademarked frameworks (Scale Framework™, DTC™, SLS™)
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- Data-backed results ("Clients average 34% revenue growth")
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- Result: Credibility > generic coaches
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4. **Premium Positioning** (Accept)
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- Price at top 25% (not bottom 50% fighting on price)
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- Attract clients who value quality over cost
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- Result: Smaller TAM, but higher margins + better clients
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**Monitoring Indicators**:
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- CAC trend (if rising >$5K, differentiation weakening)
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- Close rate (if dropping <50%, messaging unclear)
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- Client source (if <30% referrals by Year 2, not differentiated enough)
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---
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### RISK 2: Well-Funded Competitor Enters SMB Market
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**Description**: BetterUp ($1.73B valuation) or CoachHub ($1B) launch SMB offering
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**Probability**: 3 (Possible) - They're focused on enterprise now, but could pivot
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**Impact**: 4 (Major) - Deep pockets = outspend us on marketing, steal clients
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**Risk Score**: **12 (MEDIUM)**
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**Mitigation Strategies**:
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1. **First-Mover Advantage** (Reduce)
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- Launch 2026 (before they enter)
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- Capture 100+ clients by time they launch (Year 2-3)
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- Build brand recognition in SMB space
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2. **Relationship Moat** (Reduce)
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- High-touch service (know clients personally, not faceless platform)
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- Community (clients refer peers, sticky network effects)
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- Result: Hard to poach our clients even with better tech
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3. **Pivot to B2B2B** (Accept if happens)
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- If they enter market, we white-label to them
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- "BetterUp for SMBs, powered by GBCM"
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- Result: Partner instead of compete
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**Monitoring Indicators**:
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- Competitor product launches (track BetterUp, CoachHub press releases)
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- Pricing changes (if they launch SMB tier at $5K/year, undercutting us)
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- Client churn reasons (if losing clients to bigger platforms)
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---
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### RISK 3: Economic Recession (Coaching Seen as "Nice-to-Have")
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**Description**: 2026-2027 recession, SMBs cut coaching budgets first
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**Probability**: 3 (Possible) - Economists predicting 30-40% recession risk 2026-2027
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**Impact**: 5 (Critical) - Revenue could drop 40-60%, cash flow crisis
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**Risk Score**: **15 (HIGH)**
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**Mitigation Strategies**:
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1. **Diversify Client Base** (Reduce)
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- Target recession-resistant industries: Healthcare, SaaS, Essential Services
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- Avoid: Retail, hospitality, luxury goods
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- Result: 70% of clients in stable industries
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2. **Lock-In Contracts** (Reduce)
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- 12-month prepay (with 5% discount incentive)
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- 60% of clients prepay = 60% of Year 2 revenue secured upfront
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- Result: Recession hits, but revenue already banked
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3. **Flexible Pricing** (Reduce)
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- Offer "pause" option (3-month pause, resume when ready)
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- Downgrade options (ADVISORY → TRANSFORM Scale vs cancel)
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- Result: Retain 50% of clients who would otherwise churn
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4. **Cash Reserves** (Reduce Impact)
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- Maintain 6-12 months expenses in cash by end of Year 2
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- $122K (end of Y2) = 3.6 months → Goal: $200K = 6 months
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- Result: Can weather 6-month revenue dip without panic
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5. **Shift to Essentials** (Pivot)
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- Reposition: "Cost-cutting consultant" not "growth coach"
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- "I help you survive recession" (operational efficiency, cash management)
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- Result: Increase demand during downturn
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**Monitoring Indicators**:
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- GDP growth (if <1%, recession likely)
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- Client renewal rate (if drops below 70%, economic stress)
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- Discovery call volume (if drops 50%+, demand weakening)
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---
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## ⚙️ OPERATIONAL RISKS
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### RISK 4: Founder Burnout / Inability to Scale
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**Description**: Founder works 60-70 hours/week, gets exhausted, quality suffers
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**Probability**: 4 (Likely) - Common for solo entrepreneurs
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**Impact**: 4 (Major) - Client satisfaction drops, reputation damaged
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**Risk Score**: **16 (HIGH)**
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**Mitigation Strategies**:
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1. **Time Boundaries** (Reduce)
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- Hard stop: 50 hours/week max (track in Toggl)
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- No work weekends (except emergencies)
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- 4 weeks vacation/year (actually take it)
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2. **Delegate Early** (Reduce)
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- Hire VA Month 1 (not Month 6 when already burned out)
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- Hire Senior Coach Q3 Y2 (before at capacity, not after)
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- Rule: If task <$100/hour value, delegate
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3. **Automate Ruthlessly** (Reduce)
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- AI Coach handles 60% of client questions (saves 10h/week)
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- Email sequences automated (onboarding, nurture, renewals)
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- Scheduling: Calendly (no back-and-forth emails)
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4. **Peer Support** (Reduce)
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- Join CEO peer group (Vistage, EO) - monthly accountability
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- Executive coach for founder ($10K/year)
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- Therapist (mental health is health)
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**Monitoring Indicators**:
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- Hours worked/week (if >55 for 3+ weeks, intervene)
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- Energy level (1-10 self-rating, if <6 for 2+ weeks, red flag)
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- Session quality (if client ratings drop <4.3, sign of burnout)
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---
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### RISK 5: Key Client Churn (Lose 30%+ Revenue Suddenly)
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**Description**: 3 large ADVISORY clients ($120K each = $360K) churn same quarter
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**Probability**: 2 (Unlikely) - But possible if all hired internal COO
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**Impact**: 5 (Critical) - Lose 40%+ of revenue, cash crisis
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**Risk Score**: **10 (MEDIUM)**
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**Mitigation Strategies**:
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1. **Revenue Diversification** (Reduce)
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- No single client >15% of revenue (cap ADVISORY at 10 clients max)
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- Balance mix: 10 ADVISORY, 40 TRANSFORM, 50 PLATFORM
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- Result: Losing 1 client = max 2.5% revenue hit (survivable)
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2. **Early Warning System** (Reduce)
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- Track engagement weekly (if client <30 score, proactive outreach)
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- Quarterly check-ins (ask: "What could we do better?")
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- NPS surveys (Detractors get immediate founder call)
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3. **Value Reinforcement** (Reduce)
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- Monthly value reports ("This month we helped you: X, Y, Z")
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- ROI tracking (tie our work to their revenue/profit growth)
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- Result: Client sees clear value = less likely to cancel
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4. **Contractual Protection** (Reduce Impact)
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- 30-day termination notice (gives time to replace revenue)
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- Prepayment (12-month contracts = even if churn, already paid)
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**Monitoring Indicators**:
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- Engagement scores (if 3+ clients drop below 40, investigate)
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- NPS trend (if drops from 60 → 45, systemic issue)
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- Renewal rate (if drops below 75%, business model at risk)
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---
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### RISK 6: Service Delivery Quality Decline (As We Scale)
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**Description**: Grow from 30 → 100 clients, workshops become impersonal, coaching rushed
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**Probability**: 3 (Possible) - Common scaling challenge
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**Impact**: 4 (Major) - NPS drops, referrals dry up, revenue stalls
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**Risk Score**: **12 (MEDIUM)**
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**Mitigation Strategies**:
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1. **Quality Metrics** (Monitor)
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- Track: Session ratings, NPS, client outcomes (revenue growth)
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- Target: Maintain 4.5+ rating even at 100 clients
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- Alert: If any metric drops 10%+, pause growth until fixed
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2. **Team Training** (Reduce)
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- Senior Coach shadowing (6 weeks onboarding, not 2 weeks)
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- Bi-weekly coaching supervision (founder coaches the coach)
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- Certification: Must hit 4.5+ rating for 3 months before solo
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3. **Process Standardization** (Reduce)
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- Playbooks: Detailed SOPs for every process (onboarding, workshops, QBRs)
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- Templates: Pre-built coaching exercises, discussion guides
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- Result: Consistency across all coaches (client experience uniform)
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4. **Client Segmentation** (Accept)
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- Founder handles top 10 ADVISORY clients (highest touch)
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- Senior Coach handles TRANSFORM Scale (medium touch)
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- AI + community handles PLATFORM (low touch, scalable)
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- Result: Match service level to willingness to pay
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**Monitoring Indicators**:
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- Session rating trend (if drops from 4.6 → 4.3, quality slipping)
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- Client complaints (if >5% of clients complain, systemic issue)
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- Team utilization (if coaches at >90% capacity, rushing sessions)
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---
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## 💸 FINANCIAL RISKS
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### RISK 7: Cash Flow Crisis (Run Out of Money Year 1)
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**Description**: Revenue slower than projected, burn through $75K by Month 9
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**Probability**: 3 (Possible) - Startups often miss revenue targets
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**Impact**: 5 (Critical) - Can't pay bills, business folds
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**Risk Score**: **15 (HIGH)**
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**Mitigation Strategies**:
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1. **Conservative Projections** (Reduce)
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- Budget assumes 30 clients, but have backup plan for 20
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- If only hit 20 clients Year 1 ($120K revenue):
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- Cut expenses: Delay hires, reduce ad spend ($180K → $140K)
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- Founder injects $20K emergency fund (if needed)
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- Result: Survive, grow slower but stay alive
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2. **Milestone-Based Spending** (Reduce)
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- Don't hire Senior Coach until hit 40 clients (not "Q3 2027")
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- Don't double ad spend until CAC <$3K proven
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- Result: Expenses scale with revenue (not ahead of it)
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3. **Flexible Cost Structure** (Reduce)
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- 80% variable costs (marketing, contractors) vs 20% fixed (founder salary)
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- Can cut $15K/month expenses in 30 days if emergency
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- Result: Adapt quickly to revenue shortfalls
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4. **Early Warning Dashboard** (Monitor)
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- Weekly cash flow review (every Monday morning)
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- 13-week rolling cash forecast (predict cash position 3 months out)
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- Alert: If cash <$20K, trigger emergency plan
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**Emergency Plan** (If Cash <$20K):
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1. Pause all non-essential spending (ads, VA hours, subscriptions)
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2. Founder takes no salary for 2 months (save $25K)
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3. Offer prepay discounts (get cash upfront from existing clients)
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4. Inject $25K personal loan (last resort)
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**Monitoring Indicators**:
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- Cash balance (if <$30K, yellow alert; <$15K, red alert)
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- Burn rate (if >$25K/month, unsustainable)
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- Collections (if >10% invoices unpaid 30+ days, tighten credit)
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---
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### RISK 8: Client Payment Defaults (Bad Debt)
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**Description**: 5-10% of clients don't pay invoices, write off $15K-$50K/year
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**Probability**: 3 (Possible) - SMBs have cash flow issues too
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**Impact**: 3 (Moderate) - Lose $15K-$50K revenue
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**Risk Score**: **9 (MEDIUM)**
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**Mitigation Strategies**:
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1. **Prepayment Model** (Reduce)
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- Require 50% upfront, 50% at Month 6 (not monthly invoicing)
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- Result: Only risk losing Month 7-12 payments (max 50% exposure)
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2. **Auto-Billing** (Reduce)
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- Stripe autopay (charge credit card automatically)
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- 90% of clients on autopay = 90% collection rate
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- Result: No "forgot to pay" excuses
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3. **Credit Checks** (Reduce)
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- For ADVISORY clients ($90K+), check business credit (Dun & Bradstreet)
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- Red flags: Late payments, bankruptcies → Require 100% prepay OR decline
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4. **Collections Process** (Reduce Impact)
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- Day 1 overdue: Automated email reminder
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- Day 7: Personal email from Ops Manager
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- Day 14: Founder calls client (understand issue, work out payment plan)
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- Day 30: Suspend service (no access to platform, coaching)
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- Day 60: Collections agency (last resort)
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**Monitoring Indicators**:
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- Days Sales Outstanding (DSO): Average days to collect payment (target <15 days)
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- Bad debt %: Total unpaid / Total revenue (target <2%)
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---
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### RISK 9: Underpricing (Can't Achieve Profitability)
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**Description**: Prices too low ($8,997 TRANSFORM Growth), can't cover costs at scale
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**Probability**: 2 (Unlikely) - Financial model shows 92% gross margin
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**Impact**: 4 (Major) - Never profitable, can't scale without external funding
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**Risk Score**: **8 (LOW-MEDIUM)**
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**Mitigation Strategies**:
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1. **Annual Price Increases** (Reduce)
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- Increase prices 5-10% every January (vs competitors' 3-5%)
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- Grandfather existing clients (they keep current price for loyalty)
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- New clients pay new price
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- Result: Year 3 price = $10,799 (up from $8,997, +20%)
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2. **Value-Based Pricing** (Reduce)
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- Track client outcomes (revenue growth, profit increase)
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- If clients average 30% revenue growth ($1M → $1.3M = $300K)...
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- ...then $12K coaching fee = 4% of value created (incredible ROI)
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- Result: Can justify premium pricing
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3. **Upsell to Higher Tiers** (Increase Revenue)
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- Convert 30% of TRANSFORM Growth → Scale (2.7x price increase)
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- Convert 15% of TRANSFORM Scale → ADVISORY (4-8x price increase)
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- Result: Same # of clients, 40% more revenue
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**Monitoring Indicators**:
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- Gross margin (if drops below 85%, prices too low or costs too high)
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- Client price sensitivity (if >20% object to price, may be too high)
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- Competitor pricing (if they raise prices, follow suit)
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---
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## 💻 TECHNOLOGY RISKS
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### RISK 10: Platform Outage / Technical Failure
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**Description**: AWS server crash, GBCM Hub down for 8+ hours, clients can't access
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**Probability**: 2 (Unlikely) - AWS 99.99% uptime SLA
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**Impact**: 3 (Moderate) - Client frustration, reputation hit, refund requests
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**Risk Score**: **6 (LOW)**
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**Mitigation Strategies**:
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1. **Redundancy** (Reduce)
|
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- Multi-region deployment (us-east-1 primary, us-west-2 backup)
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- Auto-failover (if East Coast down, traffic routes to West Coast <5 min)
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||||
- Result: Single data center failure doesn't bring down platform
|
||||
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||||
2. **Monitoring & Alerts** (Detect Fast)
|
||||
- Uptime monitoring (Pingdom checks site every 60 seconds)
|
||||
- Alert: If down >2 min, SMS + email to founder + DevOps
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- Result: Detect issues in minutes, not hours
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||||
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3. **Incident Response Plan** (Reduce Impact)
|
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- Playbook: Step-by-step recovery procedures
|
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- Communication template: "We're aware, working on fix, ETA X hours"
|
||||
- Post-mortem: What happened, why, how we'll prevent recurrence
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||||
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4. **SLA with Clients** (Manage Expectations)
|
||||
- Promise: 99.5% uptime (43.8 hours downtime/year allowable)
|
||||
- Refund policy: If down >8 hours in a month, 10% monthly fee credit
|
||||
- Result: Clients know what to expect, refund policy fair
|
||||
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||||
**Monitoring Indicators**:
|
||||
- Uptime % (if drops below 99.5%, investigate root cause)
|
||||
- Mean Time to Resolve (MTTR): How fast we fix issues (target <2 hours)
|
||||
- Client complaints (if >5 complaints about platform, UX issue)
|
||||
|
||||
---
|
||||
|
||||
### RISK 11: AI Coach Gives Bad Advice (Liability)
|
||||
|
||||
**Description**: AI recommends illegal strategy or terrible decision, client loses $50K+
|
||||
|
||||
**Probability**: 2 (Unlikely) - GPT-4 is good, but not perfect
|
||||
**Impact**: 5 (Critical) - Lawsuit, reputation destroyed
|
||||
**Risk Score**: **10 (MEDIUM)**
|
||||
|
||||
**Mitigation Strategies**:
|
||||
1. **Disclaimers** (Reduce Liability)
|
||||
- Every AI response includes: "This is AI-generated advice. Verify with your coach or attorney before implementing."
|
||||
- Terms of Service: "GBCM not liable for AI Coach recommendations"
|
||||
- Result: Legal protection (but not 100% bulletproof)
|
||||
|
||||
2. **Human Oversight** (Reduce Probability)
|
||||
- Review 10% of AI conversations weekly (random sample)
|
||||
- Retrain model monthly (fix errors, improve accuracy)
|
||||
- Escalation: If AI confidence <70%, route to human coach
|
||||
|
||||
3. **Content Filtering** (Reduce)
|
||||
- Blacklist topics: Legal advice, medical, financial regulations
|
||||
- If client asks "Can I deduct X on taxes?", AI says "Ask your CPA"
|
||||
- Result: AI stays in lane (strategy, operations, leadership - not legal/financial)
|
||||
|
||||
4. **Insurance** (Transfer Risk)
|
||||
- Professional Liability (E&O) insurance: $1M coverage ($1,200/year)
|
||||
- Covers: Negligent advice, errors, omissions
|
||||
- Result: If sued, insurance pays legal fees + settlement
|
||||
|
||||
**Monitoring Indicators**:
|
||||
- AI accuracy (human coaches rate 10% of responses, track % correct)
|
||||
- Client complaints (if any "AI gave bad advice" feedback, investigate immediately)
|
||||
- Escalation rate (if >20% of queries escalated to human, AI not ready)
|
||||
|
||||
---
|
||||
|
||||
### RISK 12: Data Breach / Cyber Attack
|
||||
|
||||
**Description**: Hacker steals client data (emails, business plans, financial info)
|
||||
|
||||
**Probability**: 2 (Unlikely) - Strong security, but no system is 100% safe
|
||||
**Impact**: 5 (Critical) - GDPR fines ($50K+), lawsuits, reputation destroyed
|
||||
**Risk Score**: **10 (MEDIUM)**
|
||||
|
||||
**Mitigation Strategies**:
|
||||
1. **Security Best Practices** (Reduce)
|
||||
- Encryption: TLS 1.3 (in transit), AES-256 (at rest)
|
||||
- Access control: MFA required, role-based permissions
|
||||
- Penetration testing: Annual audit by security firm ($5K/year)
|
||||
|
||||
2. **Data Minimization** (Reduce Impact)
|
||||
- Only collect what's needed (don't store credit cards - Stripe does)
|
||||
- Anonymize analytics (aggregate data, remove PII)
|
||||
- Result: If breached, less sensitive data exposed
|
||||
|
||||
3. **Incident Response Plan** (Reduce Impact)
|
||||
- Playbook: If breach detected, notify clients within 72 hours (GDPR requirement)
|
||||
- PR strategy: Transparent communication, steps we're taking
|
||||
- Legal: Engage attorney immediately (guide us through liability)
|
||||
|
||||
4. **Cyber Insurance** (Transfer Risk)
|
||||
- Cyber Liability insurance: $500K coverage ($800/year)
|
||||
- Covers: Breach notification costs, legal fees, regulatory fines
|
||||
- Result: Limit out-of-pocket costs to deductible ($5K-$10K)
|
||||
|
||||
**Monitoring Indicators**:
|
||||
- Failed login attempts (if spike, could be brute-force attack)
|
||||
- Security scan results (quarterly Snyk reports - track vulnerabilities)
|
||||
- Compliance audits (annual SOC 2 by Year 3 - pass = good security)
|
||||
|
||||
---
|
||||
|
||||
## 👥 PEOPLE & ORGANIZATION RISKS
|
||||
|
||||
### RISK 13: Can't Hire Quality Talent (Senior Coach)
|
||||
|
||||
**Description**: Post job, get 50 applicants, none meet bar (need 4.5+ coach)
|
||||
|
||||
**Probability**: 3 (Possible) - Great coaches are rare, competitive market
|
||||
**Impact**: 4 (Major) - Can't scale beyond 30 clients, growth stalls
|
||||
**Risk Score**: **12 (MEDIUM)**
|
||||
|
||||
**Mitigation Strategies**:
|
||||
1. **Recruitment Pipeline** (Reduce)
|
||||
- Start sourcing 6 months before need hire (Q1 2027, not Q3 when desperate)
|
||||
- Build relationships with top coaches (coffee chats, no pressure)
|
||||
- Result: When ready to hire, have 3-5 warm candidates
|
||||
|
||||
2. **Compelling Offer** (Reduce)
|
||||
- Competitive comp: $100K+ (top 25% for coaches)
|
||||
- Equity: 2% (if exit at $5M = $100K bonus)
|
||||
- Culture: Autonomy, learning, mission-driven
|
||||
- Result: Attract A-players, not B-players
|
||||
|
||||
3. **Poach from Competitors** (Reduce)
|
||||
- Identify top Vistage chairs, EO facilitators (they know our market)
|
||||
- Offer better: More $ + equity + tech platform (vs legacy model)
|
||||
- Result: Hire proven talent, not unproven
|
||||
|
||||
4. **Contract Coach Network** (Backup Plan)
|
||||
- If can't hire FTE, contract 2-3 coaches (1099, not W2)
|
||||
- Pay $100-150/hour (deliver specific workshops, sessions)
|
||||
- Result: Scale delivery without full-time commitment
|
||||
|
||||
**Monitoring Indicators**:
|
||||
- Application quality (if <10% meet bar, job description unclear)
|
||||
- Offer acceptance rate (if <75%, comp or culture not competitive)
|
||||
- Time to hire (if >90 days, process too slow)
|
||||
|
||||
---
|
||||
|
||||
### RISK 14: Key Employee Leaves (Senior Coach Quits)
|
||||
|
||||
**Description**: Senior Coach gets better offer, quits with 30 days notice, 20 clients reassigned
|
||||
|
||||
**Probability**: 3 (Possible) - Turnover is normal (avg 15% annually in services)
|
||||
**Impact**: 3 (Moderate) - Scramble to cover clients, some churn
|
||||
**Risk Score**: **9 (MEDIUM)**
|
||||
|
||||
**Mitigation Strategies**:
|
||||
1. **Retention** (Reduce Probability)
|
||||
- Pay market rate (annual comp reviews, raise if underpaid)
|
||||
- Career path (Coach I → II → Senior → Lead → VP)
|
||||
- Culture (bi-weekly 1-on-1s, listen to concerns, act on feedback)
|
||||
- Result: Happy employees stay (90%+ retention target)
|
||||
|
||||
2. **Knowledge Transfer** (Reduce Impact)
|
||||
- Document everything (playbooks, client notes in CRM)
|
||||
- Cross-training (founder shadows Senior Coach occasionally, can step in)
|
||||
- Result: If coach leaves, context not lost
|
||||
|
||||
3. **Client Relationships** (Reduce Impact)
|
||||
- Quarterly check-ins: Founder meets all clients (not just coach)
|
||||
- Community: Clients connected to GBCM brand, not individual coach
|
||||
- Result: If coach leaves, 80%+ clients stay (vs 50% if personal attachment)
|
||||
|
||||
4. **Succession Plan** (Backup)
|
||||
- Always have 1-2 coaches in pipeline (ongoing recruiting)
|
||||
- If resignation, activate Plan B: Hire within 60 days
|
||||
- Interim: Founder + contract coaches cover (tough but doable for 60 days)
|
||||
|
||||
**Monitoring Indicators**:
|
||||
- Employee NPS (annual survey - if <8, at-risk employees)
|
||||
- Retention rate (if <85%, culture or comp issue)
|
||||
- Exit interviews (if pattern emerges - e.g., "no growth path" - fix it)
|
||||
|
||||
---
|
||||
|
||||
### RISK 15: Founder Incapacitation (Accident, Illness, Death)
|
||||
|
||||
**Description**: Founder hit by bus, in coma for 6 months, business has no leader
|
||||
|
||||
**Probability**: 1 (Rare) - But impact is catastrophic
|
||||
**Impact**: 5 (Critical) - Business could fold without founder (Year 1-2)
|
||||
**Risk Score**: **5 (LOW-MEDIUM)**
|
||||
|
||||
**Mitigation Strategies**:
|
||||
1. **Succession Plan** (Reduce Impact)
|
||||
- Appoint interim CEO: Senior Coach OR Ops Manager (whoever more capable)
|
||||
- Document: "If I'm out >30 days, X person runs company" (in writing)
|
||||
- Result: Team knows who's in charge, no chaos
|
||||
|
||||
2. **Playbooks & SOPs** (Reduce Impact)
|
||||
- Document every process (sales, delivery, finance)
|
||||
- Notion workspace: Anyone can step in and follow playbooks
|
||||
- Result: Business can run without founder for 3-6 months
|
||||
|
||||
3. **Life Insurance** (Transfer Financial Risk)
|
||||
- Term life insurance: $1M policy ($500/year premium)
|
||||
- Beneficiary: Spouse/family (can pay bills for 2-3 years while sell business)
|
||||
- Result: Family protected financially
|
||||
|
||||
4. **Disability Insurance** (Transfer Income Risk)
|
||||
- Long-term disability: Pays 60% of salary if disabled >90 days
|
||||
- Cost: $200/month ($2,400/year)
|
||||
- Result: Founder's family has income even if can't work
|
||||
|
||||
**Monitoring Indicators**:
|
||||
- Health (annual checkup, maintain fitness - prevention is best mitigation)
|
||||
- Document staleness (if playbooks not updated in 6+ months, refresh)
|
||||
|
||||
---
|
||||
|
||||
## ⚖️ LEGAL & COMPLIANCE RISKS
|
||||
|
||||
### RISK 16: Client Lawsuit (Professional Liability)
|
||||
|
||||
**Description**: Client claims "GBCM gave bad advice, lost $100K, suing for damages"
|
||||
|
||||
**Probability**: 2 (Unlikely) - Haven't had lawsuit in 20 years, but always possible
|
||||
**Impact**: 4 (Major) - Legal fees $25K-$50K, settlement $50K-$100K, reputation hit
|
||||
**Risk Score**: **8 (LOW-MEDIUM)**
|
||||
|
||||
**Mitigation Strategies**:
|
||||
1. **Disclaimer & Limits of Liability** (Reduce Liability)
|
||||
- Contract clause: "GBCM provides coaching, not guarantees. Client makes own decisions."
|
||||
- Liability cap: "Total liability limited to fees paid (max $60K)"
|
||||
- Result: Hard to sue for $100K when contract says max $60K liability
|
||||
|
||||
2. **Quality Delivery** (Reduce Probability)
|
||||
- High client satisfaction (4.5+ ratings = happy clients don't sue)
|
||||
- Document everything (if sued, can prove we gave good advice)
|
||||
- Result: Fewer lawsuits, better defense if sued
|
||||
|
||||
3. **Professional Liability Insurance (E&O)** (Transfer Risk)
|
||||
- Coverage: $1M ($1,200/year premium)
|
||||
- Covers: Legal defense + settlement/judgment
|
||||
- Result: Insurance pays, not founder's personal assets
|
||||
|
||||
4. **Early Conflict Resolution** (Reduce)
|
||||
- If client unhappy, address immediately (don't let fester)
|
||||
- Offer refund (lose $20K fee vs $100K lawsuit)
|
||||
- Result: Resolve 90% of conflicts before lawyer involved
|
||||
|
||||
**Monitoring Indicators**:
|
||||
- Client complaints (if >3/year, investigate root cause)
|
||||
- NPS Detractors (if >10%, systemic dissatisfaction)
|
||||
- Legal threats (if any "I'm calling my lawyer" comments, escalate to CEO immediately)
|
||||
|
||||
---
|
||||
|
||||
### RISK 17: Regulatory Compliance Violation (GDPR, CCPA)
|
||||
|
||||
**Description**: Accidentally violate data privacy law, regulator fines $50K+
|
||||
|
||||
**Probability**: 2 (Unlikely) - We're compliant, but laws are complex
|
||||
**Impact**: 3 (Moderate) - $50K fine, legal fees, bad press
|
||||
**Risk Score**: **6 (LOW)**
|
||||
|
||||
**Mitigation Strategies**:
|
||||
1. **Compliance Framework** (Reduce)
|
||||
- GDPR checklist: 20 requirements (consent, portability, erasure, etc.)
|
||||
- Annual audit: Legal counsel reviews privacy policy, practices
|
||||
- Result: Catch violations before regulator does
|
||||
|
||||
2. **Privacy by Design** (Reduce)
|
||||
- Build compliance into platform (not bolted on later)
|
||||
- Example: "Delete account" button (easy for users to exercise rights)
|
||||
- Result: Compliance is automatic, not manual
|
||||
|
||||
3. **Legal Counsel** (Reduce)
|
||||
- Retainer attorney (call when unsure about law)
|
||||
- Example: "Can we send marketing emails to webinar attendees?" → Ask lawyer
|
||||
- Result: Avoid accidental violations
|
||||
|
||||
**Monitoring Indicators**:
|
||||
- Regulatory changes (if GDPR updated, review compliance)
|
||||
- User complaints (if anyone says "You violated my privacy!", investigate immediately)
|
||||
- Audit findings (if annual audit finds gaps, fix within 30 days)
|
||||
|
||||
---
|
||||
|
||||
## 🌍 EXTERNAL & MACRO RISKS
|
||||
|
||||
### RISK 18: AI Disruption (AI Replaces Human Coaches)
|
||||
|
||||
**Description**: 2028, GPT-6 is so good, clients prefer $50/month AI-only vs $1,000/month hybrid
|
||||
|
||||
**Probability**: 3 (Possible) - AI is improving fast (10x better every 2-3 years)
|
||||
**Impact**: 5 (Critical) - Entire business model obsolete
|
||||
**Risk Score**: **15 (HIGH)**
|
||||
|
||||
**Mitigation Strategies**:
|
||||
1. **Embrace AI** (Reduce)
|
||||
- We're already AI-first (AI Success Coach™)
|
||||
- Stay ahead: Upgrade to GPT-5, GPT-6 as released
|
||||
- Result: We ARE the AI disruption, not victim of it
|
||||
|
||||
2. **Human + AI Hybrid** (Reduce)
|
||||
- Focus on what humans do best: Empathy, accountability, customization
|
||||
- AI handles: Routine questions, content delivery, progress tracking
|
||||
- Result: Complement each other (not compete)
|
||||
|
||||
3. **Pivot to B2B2B** (Pivot if Needed)
|
||||
- If AI commoditizes coaching, sell AI platform to other coaches
|
||||
- "White-label AI Coach™ for your coaching business ($500/month)"
|
||||
- Result: We become SaaS company, not coaching company
|
||||
|
||||
**Monitoring Indicators**:
|
||||
- AI capability (test GPT-5 when released - can it replace human coaches?)
|
||||
- Client feedback (if clients say "AI is good enough, don't need 1-on-1s", warning sign)
|
||||
- Industry trend (if 5+ competitors go AI-only successfully, consider pivot)
|
||||
|
||||
---
|
||||
|
||||
### RISK 19: Pandemic / Force Majeure (COVID-like Event)
|
||||
|
||||
**Description**: 2027 pandemic, can't hold in-person events, clients cut budgets
|
||||
|
||||
**Probability**: 1 (Rare) - Once-in-100-year event (but just happened 2020)
|
||||
**Impact**: 3 (Moderate) - GBCM is 80% virtual, so less affected than in-person businesses
|
||||
**Risk Score**: **3 (LOW)**
|
||||
|
||||
**Mitigation Strategies**:
|
||||
1. **Virtual-First Model** (Already Mitigated)
|
||||
- 80% of delivery is already online (workshops, coaching, AI, platform)
|
||||
- Only 20% in-person (quarterly sessions, annual offsite)
|
||||
- Result: Pandemic ≠ business shutdown (vs 2020 when Zoom coaching wasn't proven)
|
||||
|
||||
2. **Flexible Delivery** (Reduce)
|
||||
- In-person events canceled? Switch to virtual (already have tech)
|
||||
- Zero switching cost (clients already use Zoom)
|
||||
|
||||
3. **Recession-Proof Positioning** (Reduce)
|
||||
- See RISK 3 strategies (cash reserves, essential positioning)
|
||||
|
||||
**Monitoring Indicators**:
|
||||
- Public health alerts (if WHO declares new pandemic, activate contingency plan)
|
||||
- Client cancellations (if spike in "postponing coaching due to X", investigate cause)
|
||||
|
||||
---
|
||||
|
||||
## 🛡️ RISK MANAGEMENT FRAMEWORK
|
||||
|
||||
### Quarterly Risk Review Process
|
||||
|
||||
**Schedule**: Last Friday of Mar, Jun, Sep, Dec (4× per year)
|
||||
|
||||
**Agenda** (90 minutes):
|
||||
1. **Review Existing Risks** (30 min)
|
||||
- Are probabilities/impacts still accurate?
|
||||
- Update risk scores
|
||||
- Mark resolved risks as closed
|
||||
|
||||
2. **Identify New Risks** (20 min)
|
||||
- Brainstorm: What keeps me up at night?
|
||||
- Industry changes, competitor moves, internal issues
|
||||
|
||||
3. **Prioritize Top 5 Risks** (10 min)
|
||||
- Focus on highest risk scores (15-25)
|
||||
- These get active mitigation plans
|
||||
|
||||
4. **Update Mitigation Plans** (20 min)
|
||||
- For each Top 5 risk: What are we doing? What more should we do?
|
||||
- Assign owners, deadlines
|
||||
|
||||
5. **Review Monitoring Indicators** (10 min)
|
||||
- Are we tracking the right metrics?
|
||||
- Any indicators flashing red?
|
||||
|
||||
**Documentation**: Update Risk Register (Notion page with all risks tracked)
|
||||
|
||||
---
|
||||
|
||||
### Risk Register (Dashboard)
|
||||
|
||||
**Format**: Notion database with fields:
|
||||
- Risk ID (R1, R2, R3...)
|
||||
- Risk Description
|
||||
- Category (Market, Operational, Financial, Tech, People, Legal, External)
|
||||
- Probability (1-5)
|
||||
- Impact (1-5)
|
||||
- Risk Score (P × I)
|
||||
- Mitigation Plan
|
||||
- Owner (who's responsible)
|
||||
- Status (Open, Monitoring, Mitigated, Closed)
|
||||
- Last Reviewed (date)
|
||||
|
||||
**Example Entry**:
|
||||
```
|
||||
ID: R7
|
||||
Description: Cash flow crisis Year 1
|
||||
Category: Financial
|
||||
Probability: 3
|
||||
Impact: 5
|
||||
Risk Score: 15 (HIGH)
|
||||
Mitigation:
|
||||
1. Conservative projections (done)
|
||||
2. Milestone-based spending (ongoing)
|
||||
3. Flexible cost structure (done)
|
||||
4. Emergency plan ($20K backup) (ready)
|
||||
Owner: Founder (Gregory)
|
||||
Status: Monitoring
|
||||
Last Reviewed: 2026-03-28
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### Crisis Response Protocols
|
||||
|
||||
**Definition of Crisis**: Event causing >$50K immediate loss OR existential threat
|
||||
|
||||
**Examples**:
|
||||
- Major client lawsuit ($100K+ claim)
|
||||
- Platform hacked, data breached
|
||||
- Founder hospitalized >30 days
|
||||
- Pandemic shuts down economy
|
||||
|
||||
**Crisis Response Team**:
|
||||
- **Leader**: Founder (if available) OR Senior Coach (if founder incapacitated)
|
||||
- **Members**: All team members + external advisors (attorney, CPA, insurance broker)
|
||||
|
||||
**Response Steps**:
|
||||
1. **Assess** (Hour 1): What happened? How bad? Who's affected?
|
||||
2. **Contain** (Hours 2-6): Stop the bleeding (e.g., take platform offline if hacked)
|
||||
3. **Communicate** (Day 1): Tell clients, team, stakeholders (transparency)
|
||||
4. **Mitigate** (Days 2-7): Execute response plan (e.g., legal defense, PR)
|
||||
5. **Recover** (Weeks 2-8): Return to normal operations
|
||||
6. **Learn** (Month 2): Post-mortem, prevent recurrence
|
||||
|
||||
**Communication Templates** (Pre-Written):
|
||||
- Data breach notification (GDPR-compliant)
|
||||
- Platform outage update
|
||||
- Financial difficulty (if need to ask clients for patience)
|
||||
|
||||
---
|
||||
|
||||
## 📊 TOP 10 RISKS SUMMARY (Prioritized)
|
||||
|
||||
| Rank | Risk | Score | Category | Status |
|
||||
|------|------|-------|----------|--------|
|
||||
| **1** | Market Saturation | 16 | Market | Mitigating (niche focus, AI differentiation) |
|
||||
| **2** | Founder Burnout | 16 | People | Mitigating (boundaries, delegation, automation) |
|
||||
| **3** | Cash Flow Crisis (Y1) | 15 | Financial | Monitoring (weekly cash review, buffer) |
|
||||
| **4** | Recession / Economic Downturn | 15 | External | Prepared (diversification, reserves, pivot plan) |
|
||||
| **5** | AI Disruption | 15 | External | Embracing (we're AI-first, continuous upgrade) |
|
||||
| **6** | Service Quality Decline (Scaling) | 12 | Operational | Monitoring (quality metrics, training, SOPs) |
|
||||
| **7** | Well-Funded Competitor | 12 | Market | Monitoring (first-mover, relationship moat) |
|
||||
| **8** | Can't Hire Quality Talent | 12 | People | Mitigating (pipeline, compelling offer, backup) |
|
||||
| **9** | Key Client Churn | 10 | Operational | Mitigating (diversification, engagement tracking) |
|
||||
| **10** | AI Coach Bad Advice | 10 | Technology | Mitigating (oversight, disclaimers, insurance) |
|
||||
|
||||
**Overall Risk Profile**: **MEDIUM-HIGH** (Year 1 is riskiest, de-risks over time)
|
||||
|
||||
**Trend**: Risks decrease as business matures
|
||||
- Year 1: HIGH risk (unproven model, thin cash, solo founder)
|
||||
- Year 2: MEDIUM risk (validated model, team, cashflow+)
|
||||
- Year 3: LOW-MEDIUM risk (profitable, diversified, established brand)
|
||||
|
||||
---
|
||||
|
||||
## 📌 CONCLUSION
|
||||
|
||||
GBCM LLC face des risques significatifs (comme toute startup), mais avec des **stratégies de mitigation proactives**:
|
||||
|
||||
✅ **Market Risks**: Différenciation claire (AI, méthodologies, niche focus)
|
||||
✅ **Operational Risks**: Processes, metrics, quality controls
|
||||
✅ **Financial Risks**: Conservative projections, cash buffers, flexible costs
|
||||
✅ **Technology Risks**: Redundancy, security, insurance
|
||||
✅ **People Risks**: Retention strategies, succession plans, documentation
|
||||
✅ **Legal Risks**: Strong contracts, insurance, compliance framework
|
||||
✅ **External Risks**: Adaptability (AI-first, virtual-first, recession pivots)
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**Key Success Factor**: **Vigilance** - Review risks quarterly, monitor indicators, adapt plans as needed
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**Next**: [Section 13 - Milestones & KPIs](./13-milestones-kpis.md)
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---
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© 2025 GBCM LLC - Business Plan v2.0 | Risk Analysis & Mitigation
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