Chain Analysis — 5 Frameworks

Chain Analysis — 5 Frameworks

This skill provides the analytical frameworks for analyzing the inspiration chains behind innovations. Used conversationally when the user asks to trace inspiration chains.

Trigger

Activate when performing inspiration chain analysis on an industry expression.

Context Building

Before analysis, build the chain context from the target expression:

• Read the expression's inspirations array (direct ancestors)
• Read sibling expressions in the same era (related context)
• Read any children (descendants)

Format as:

TARGET INNOVATION: "Industry Name"
Enabler: mutation text
Core Insight: insight text

DIRECT INSPIRATIONS:
- Source1: mechanism (twist: how adapted)
- Source2: mechanism (twist: how adapted)

AVAILABLE CONTEXT (N related expressions for deeper analysis)

The 5 Frameworks

Framework 1: Lineage Tracing

Map the complete genealogy of ideas that led to this innovation.

Output structure:

{
  "analysisType": "lineage-tracing",
  "targetInnovation": "Industry Name",
  "genealogy": {
    "directAncestors": [
      {"source": "Immediate inspiration", "contribution": "What it provided", "era": "When it emerged"}
    ],
    "indirectInfluences": [
      {"source": "Earlier influence", "connection": "How it connects", "degree": "1st|2nd|3rd generation"}
    ],
    "foundationalConcepts": ["Core concept 1", "Core concept 2"]
  },
  "lineageDepth": 3,
  "branchingFactor": 2,
  "strategicInsight": "Key insight about lineage",
  "heritageStrength": 75,
  "noveltyRatio": 25
}

Framework 2: Influence Mapping

Identify which prior innovations had the strongest influence and how.

Output structure:

{
  "analysisType": "influence-mapping",
  "targetInnovation": "Industry Name",
  "influenceNetwork": {
    "primaryInfluences": [
      {
        "source": "Key inspiration",
        "influenceType": "Conceptual|Technical|Structural|Market",
        "strength": 85,
        "mechanism": "What was borrowed",
        "transformation": "How it was adapted"
      }
    ],
    "secondaryInfluences": [
      {"source": "Supporting inspiration", "influenceType": "Type", "strength": 40, "role": "Supporting role"}
    ],
    "crossDomainBorrowing": ["Idea from domain X"]
  },
  "totalInfluenceScore": 80,
  "originalityScore": 70,
  "strategicInsight": "Key insight about influence",
  "dominantInfluenceType": "Conceptual|Technical|Structural|Market",
  "innovationMechanism": "How influences were combined"
}

Framework 3: Divergence Patterns

Identify where this innovation deviates from its inspirations and why.

Output structure:

{
  "analysisType": "divergence-patterns",
  "targetInnovation": "Industry Name",
  "keyDivergences": [
    {
      "aspect": "What changed",
      "fromPattern": "Original approach",
      "toPattern": "New approach",
      "divergenceType": "Substitution|Addition|Removal|Transformation",
      "rationale": "Why the change",
      "impact": "Effect of divergence"
    }
  ],
  "divergenceScore": 65,
  "continuityScore": 35,
  "strategicInsight": "Key insight about divergence",
  "breakingPoints": ["Where it breaks tradition 1"],
  "retainedCore": ["What stayed the same 1"]
}

Framework 4: Innovation Velocity

Measure the pace of change and evolution in this innovation chain.

Output structure:

{
  "analysisType": "innovation-velocity",
  "targetInnovation": "Industry Name",
  "velocityMetrics": {
    "generationGap": "Time between major innovation cycles",
    "accelerationTrend": "Speeding up|Slowing down|Steady",
    "breakthroughFrequency": "How often major shifts occur",
    "incrementalPace": "Rate of small improvements"
  },
  "velocityDrivers": ["What accelerates change 1"],
  "frictionFactors": ["What slows change 1"],
  "velocityScore": 75,
  "momentumIndicator": "high|medium|low",
  "strategicInsight": "Key insight about velocity",
  "futureTrajectory": "Predicted pace of evolution",
  "disruptionRisk": "high|medium|low"
}

Framework 5: Coherence Assessment

Evaluate how well the innovation integrates its various inspirations.

Output structure:

{
  "analysisType": "coherence-assessment",
  "targetInnovation": "Industry Name",
  "coherenceMetrics": {
    "integrationQuality": "How well components fit together",
    "internalConsistency": "Degree of logical consistency",
    "purposeAlignment": "How well it serves stated goal",
    "contradictionResolution": "How conflicting elements are resolved"
  },
  "coherenceStrengths": ["Strong point 1"],
  "coherenceWeaknesses": ["Weak point 1"],
  "coherenceScore": 80,
  "synthesisQuality": "high|medium|low",
  "strategicInsight": "Key insight about coherence",
  "stabilityImplications": "How coherence affects long-term viability",
  "improvementOpportunities": ["How to increase coherence 1"]
}

Quality Guidelines

• Lineage tracing should go AT LEAST 2-3 generations back, even if speculative
• Influence mapping should distinguish between conceptual, technical, structural, and market influences
• Divergence patterns should identify what's truly NOVEL vs. what's borrowed
• Velocity analysis should reference real-world technology acceleration patterns
• Coherence assessment should be honest about weaknesses — innovations rarely score 100