1 ECIC Collective Evaluation Structure

1.1 Overview

ECIC’s client strategy determination combines three data sources into a holistic client assessment: onboarding form responses, discovery/onboarding call transcripts, and structured advisor notes. This collective evaluation maps client psychology to appropriate portfolio strategy allocations rather than generating numerical risk scores.

1.2 Dual-Track Evaluation System

1.2.1 Track 1: Client Psychology → Strategy Allocation

Maps client behavioral profile to Growth/Income/Diversification mix based on psychological readiness and life circumstances.

1.2.2 Track 2: Internal Investment Research (Tick System) → Security Selection

Proprietary scoring system for individual securities that determines holdings and weights within chosen strategies. Operates independently of client risk assessment.

1.3 Data Integration Architecture

1.3.1 Input Sources

{
  "data_sources": {
    "onboarding_form": {
      "behavioral_responses": "7 psychological questions (raw responses)",
      "financial_context": "net worth, liquidity, experience level",
      "ethical_priorities": "values alignment and novel concerns",
      "logistics": "account types, coordination needs"
    },
    "call_transcript": {
      "discovery_call": "initial conversation transcript via Workers AI",
      "onboarding_call": "strategy design conversation transcript",
      "duration_and_participants": "meeting metadata"
    },
    "advisor_notes": {
      "google_doc_structured_notes": "advisor observations and decisions",
      "key_discussion_points": "manual advisor input during calls",
      "action_items": "next steps and follow-up requirements"
    }
  }
}

1.3.2 Collective Evaluation Framework

{
  "evaluation_synthesis": {
    "psychological_profile": {
      "anxiety_indicators": {
        "sleep_stress_patterns": "extracted from behavioral Q4",
        "general_risk_avoidance": "extracted from behavioral Q3",
        "conversation_cues": "advisor observations from transcript",
        "preparedness_flag": "$1k liquidity question response"
      },
      "values_prioritization": {
        "ethics_vs_volatility": "behavioral Q7 + conversation context",
        "understanding_importance": "how much they want to know holdings",
        "framework_evolution_comfort": "acceptance of changing exclusions"
      },
      "time_horizon_indicators": {
        "long_term_commitment": "behavioral Q5 + life circumstances",
        "cash_flow_needs": "current vs future liquidity requirements",
        "life_stage_context": "from conversation and additional context"
      }
    },

    "strategy_mapping": {
      "growth_allocation": {
        "primary_driver": "long-term commitment + low anxiety + ethical prioritization",
        "typical_range": "60-100% for psychologically prepared clients",
        "exclusion_criteria": "high anxiety, near-term cash needs"
      },
      "income_allocation": {
        "primary_driver": "cash flow needs + yield prioritization",
        "typical_range": "0-40% based on financial circumstances",
        "inclusion_triggers": "retirement, living expenses, psychological comfort"
      },
      "diversification_allocation": {
        "primary_driver": "need for index-like performance + volatility sensitivity",
        "typical_range": "0-30% for tracking error comfort",
        "inclusion_rationale": "emotional difficulty with concentrated strategies"
      }
    },

    "decision_framework": {
      "aggressive_structure": {
        "profile_match": "high ethical conviction + low volatility anxiety + long horizon",
        "typical_allocation": "80-100% Growth, 0-20% Income/Diversification",
        "client_characteristics": "younger, high risk tolerance, values-first mindset"
      },
      "moderate_structure": {
        "profile_match": "balanced ethical/predictability needs",
        "typical_allocation": "40-70% Growth, 20-40% Income, 10-30% Diversification",
        "client_characteristics": "mixed priorities, some volatility sensitivity"
      },
      "custom_blends": {
        "rationale": "unique life circumstances requiring tailored approach",
        "examples": "trust accounts, complex coordination needs, unusual risk factors"
      }
    }
  }
}

1.4 Critical Assessment Questions

1.4.1 Financial Preparedness Flags

{
  "red_flags": {
    "liquidity_concern": "$1k access question = No/Unsure",
    "over_investment_risk": "investable amount approaches liquid net worth",
    "debt_indicators": "employment instability + high investment enthusiasm"
  },
  "green_flags": {
    "financial_stability": "emergency fund + steady income + realistic expectations",
    "appropriate_risk_taking": "understands volatility tradeoffs for ethical alignment"
  }
}

1.4.2 Psychological Readiness Indicators

{
  "anxiety_assessment": {
    "conversation_stress_cues": "extracted from transcript analysis",
    "self_reported_patterns": "sleep/stress behavioral responses",
    "volatility_tolerance": "Q1 (missed gains) + Q7 (ethics vs volatility)",
    "advisor_judgment": "professional assessment of client emotional readiness"
  },
  "values_conviction": {
    "ethical_prioritization": "willingness to accept tracking error for values alignment",
    "understanding_desire": "importance of knowing individual holdings",
    "community_participation": "comfort with evolving ethical framework"
  }
}

1.5 Evaluation Workflow

1.5.1 Phase 1: Data Collection Complete

graph TB
    A[Onboarding Form Submitted] --> B[Discovery Call Recorded]
    B --> C[Onboarding Call Scheduled]
    C --> D[All Data Sources Available]
    D --> E[Collective Evaluation Process]

1.5.2 Phase 2: Synthesis Process

{
  "synthesis_steps": {
    "step_1_flag_assessment": {
      "financial_preparedness": "review $1k question + net worth context",
      "complexity_flags": "trust accounts, coordination needs, unusual circumstances"
    },
    "step_2_psychological_mapping": {
      "anxiety_profiling": "behavioral responses + conversation observations",
      "values_prioritization": "ethics vs predictability balance assessment"
    },
    "step_3_strategy_recommendation": {
      "portfolio_mix_design": "Growth/Income/Diversification percentages",
      "implementation_timeline": "immediate vs phased approach",
      "monitoring_plan": "anxiety tracking and adjustment triggers"
    },
    "step_4_documentation": {
      "rationale_recording": "why this specific allocation was chosen",
      "risk_acknowledgment": "client understanding confirmation",
      "future_adjustment_criteria": "triggers for rebalancing psychology/allocation"
    }
  }
}

1.5.3 Phase 3: Strategy Implementation

{
  "implementation_data": {
    "final_allocation": {
      "growth_percentage": "integer (0-100)",
      "income_percentage": "integer (0-100)",
      "diversification_percentage": "integer (0-100)",
      "rationale": "text explanation of psychology → allocation mapping"
    },
    "account_setup": {
      "account_types": "from form logistics section",
      "transfer_coordination": "existing account consolidation plan",
      "special_requirements": "trust management, beneficiary setup, etc."
    },
    "ongoing_monitoring": {
      "anxiety_check_schedule": "quarterly or as-needed basis",
      "allocation_adjustment_triggers": "life changes, market stress, values evolution",
      "communication_preferences": "how client wants updates and check-ins"
    }
  }
}

1.6 Distinction: Client Assessment vs Internal Tick System

1.6.1 Client Psychology Assessment (This Document)

  • Purpose: Match client behavioral profile to appropriate strategy allocation
  • Output: Growth/Income/Diversification percentage mix
  • Data Sources: Form responses, conversation transcripts, advisor judgment
  • Update Frequency: Major life changes or psychological shifts

1.6.2 Internal Tick Rating System (Separate Process)

  • Purpose: Evaluate individual securities for inclusion and weighting
  • Output: Numerical rating determining holdings within strategies
  • Data Sources: Financial metrics, ESG analysis, management execution, market position
  • Update Frequency: Continuous research-driven updates

1.7 Storage and Retrieval

1.7.1 Evaluation Archive Structure

{
  "client_evaluation_record": {
    "client_id": "unique_identifier",
    "evaluation_date": "timestamp",
    "data_sources": {
      "form_submission": "link_to_structured_data",
      "call_transcripts": "array_of_transcript_urls",
      "advisor_notes": "google_doc_link"
    },
    "synthesis_results": {
      "psychological_profile": "structured_assessment_output",
      "strategy_recommendation": "final_allocation_with_rationale",
      "implementation_notes": "special_considerations_and_flags"
    },
    "advisor_signature": "sloane_approval_timestamp"
  }
}

This collective evaluation structure ensures no client receives a strategy allocation without comprehensive psychological assessment while maintaining the systematic approach needed for delegation and quality consistency.