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Cascade Mapping

How to trace problems as they multiply across dimensions.

The Core Insight

Problems don't stay where they start. They cascade.

Traditional view:     What 6D reveals:
                      
    Problem              Problem
       │                    │
       ▼                    ▼
     Cost              ┌────┴────┐
                       │         │
                       ▼         ▼
                    Cost A    Cost B
                       │         │
                   ┌───┴───┐     │
                   ▼       ▼     ▼
                Cost A1  Cost A2  Cost B1

The multiplier is the ratio of total cascade cost to visible cost.

Cascade Levels

L0: Origin

The initial observable event or problem.

Examples:

  • Layoffs announced
  • System outage occurs
  • Key customer churns
  • Regulatory finding received

L1: First-Order Effects

Direct, immediate consequences of the origin.

Characteristics:

  • Clearly caused by L0
  • Happen quickly (days to weeks)
  • Usually predictable
  • Often where traditional analysis stops

L2: Second-Order Effects

Downstream consequences of L1 effects.

Characteristics:

  • Caused by L1, not directly by L0
  • Delayed onset (weeks to months)
  • Less obvious causation
  • Often cross dimensional boundaries

L3: Third-Order Effects

Systemic ripples from the cascade.

Characteristics:

  • Indirect relationship to origin
  • Long-term manifestation (months to years)
  • May be attributed to other causes
  • Hardest to quantify but often largest

Mapping Process

Step 1: Identify the Origin (L0)

Ask:

  • What's the visible event?
  • When did it occur?
  • Which dimension does it start in?

Document:

  • Event description
  • Date/timeframe
  • Immediate visible cost
  • Source dimension

Step 2: Map First-Order Effects (L1)

For each dimension, ask:

  • What happens immediately because of the origin?
  • Who/what is directly impacted?
  • What costs arise directly?

Document for each affected dimension:

  • Observable signal
  • Cost estimate (range)
  • Confidence level

Step 3: Trace Second-Order Effects (L2)

For each L1 effect, ask:

  • What does this cause downstream?
  • Which other dimensions does it impact?
  • What's the time delay?

Watch for dimension jumps:

Employee (L1)       → Quality (L2)
Knowledge loss      → Defect rate increase
                    
Revenue (L1)        → Employee (L2)
Pressure to cut     → Layoffs/burnout

Step 4: Identify Systemic Effects (L3)

Ask:

  • What long-term patterns emerge?
  • How does this affect competitive position?
  • What cultural/structural changes result?

These are often the largest but hardest to quantify.

Cascade Visualization

Tree Format

L0: AI bypasses documentation [Operational]
│
├─ L1: Traffic down 40% [Operational]
│   └─ L2: No discovery → No conversion [Revenue]
│
├─ L1: Revenue down 80% [Revenue]
│   ├─ L2: Layoffs required [Employee]
│   │   └─ L3: Institutional knowledge lost [Quality]
│   └─ L2: No runway for investment [Operational]
│
└─ L1: Community backlash [Customer]
    └─ L2: "OSS unfriendly" narrative [Customer]
        └─ L3: Contributor exodus [Quality]

Table Format

Level Dimension Signal Cost Caused By
L0 Operational AI bypass $300K (Origin)
L1 Revenue 80% decline $900K-1.4M L0
L1 Employee 75% layoff $525K-1.05M L0
L1 Quality Skeleton crew $300K-550K L0
L2 Customer Trust damaged $250K-500K L1 Employee

Matrix Format

            Customer  Employee  Revenue  Regulatory  Quality  Operational
Origin          -         -        -          -          -         L0
L1 Effects      -        L1       L1          -         L1         L1
L2 Effects     L2         -        -          -         L2          -

Cross-Dimensional Patterns

Common cascade patterns to watch for:

The Death Spiral

Revenue ↓ → Layoffs → Quality ↓ → Customers leave → Revenue ↓↓

The Talent Drain

Leadership change → Uncertainty → Key people leave → Knowledge loss → Quality issues

The Compliance Cascade

Regulatory finding → Remediation costs → Resource diversion → Delivery delays → Customer impact

The Trust Collapse

Quality incident → Customer complaints → Social media → Brand damage → Sales cycle lengthens

Quantifying Cascade Costs

Estimation Methods

1. Direct Calculation

  • Known costs (severance, penalties, etc.)
  • Straightforward multiplication

2. Industry Benchmarks

  • Average replacement cost = 1.5-2× salary
  • Customer acquisition cost = known metric
  • Downtime cost = revenue/hour

3. Analogous Cases

  • Similar situations in same industry
  • Historical data from organization

4. Expert Judgment

  • Stakeholder estimates
  • Range rather than point estimate

Confidence Levels

Mark each estimate with confidence:

Confidence Meaning Range
High Strong data support ±20%
Medium Some data, some judgment ±50%
Low Mostly judgment ±100%

Range Estimation

Always estimate ranges, not points:

❌ Cost: $500,000
✅ Cost: $400,000 - $650,000 (Medium confidence)

Calculating the Multiplier

Formula

Multiplier = Total Cascade Cost ÷ Origin Visible Cost

Example

Origin (L0):        $300,000
L1 Effects:       $1,725,000
L2 Effects:         $500,000
──────────────────────────────
Total:            $2,525,000

Multiplier = $2,525,000 ÷ $300,000 = 8.4×

Typical Ranges

Situation Typical Multiplier
Contained operational issue 2-4×
Cross-functional problem 4-7×
Organizational crisis 7-15×
Industry disruption 10-20×+

Worked Example: Aviation MRO

Origin: Parts inventory management issues

L0: Operational Origin

  • Signal: Recurring stockouts, inventory discrepancies
  • Visible cost: $119,000 (expedited shipping, manual workarounds)

L1: First-Order Effects

Dimension Signal Cost
Quality Aircraft downtime increased $330,000
Employee Technician frustration, overtime $370,000

L2: Second-Order Effects

Dimension Signal Cost Caused By
Customer Airlines reconsidering contracts $440,000 Quality L1
Revenue Penalty clauses, lost contracts $880,000 Customer L2
Regulatory FAA documentation concerns $61,000 Quality L1

Summary

Origin:     $119,000
L1 Total:   $700,000
L2 Total:   $1,381,000
──────────────────────
Total:      $2,200,000

Multiplier: 18.5×
Dimensions: 6 of 6 affected

Common Mistakes

Stopping at L1

Most analysis stops after first-order effects. Push to L2 and L3.

Missing Cross-Dimensional Jumps

Effects often jump dimensions:

Employee burnout (Employee) → Quality drops (Quality) → Customer churn (Customer)

Double-Counting

If the same cost appears in multiple paths, count it once.

Ignoring Time Delays

L2 and L3 effects may take months to manifest. Include them anyway.

Attributing to Wrong Cause

When L3 effects appear, they may be attributed to other causes. Trace back carefully.

The cascade is always bigger than it looks. Your job is to see it. 🐦