Taxonomy Distribution Report

Overview

• Total Concepts: 400
• Number of Taxonomies: 14
• Average Concepts per Taxonomy: 28.6

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
Persona Segmentation And Quality	PERQ	60	15.0%	✅
Research Design And AI Limits	RSRCH	40	10.0%	✅
Persona Design	PERDS	40	10.0%	✅
Prompt Design And Outputs	PRMPT	40	10.0%	✅
Multi-Agent Orchestration	MULTI	30	7.5%	✅
Brand And Asset Evaluation	BRAND	30	7.5%	✅
Rubrics Scores And Evidence	RUBRC	30	7.5%	✅
AI And Research Foundations	AIFND	20	5.0%	✅
Ethics Privacy And Governance	ETHIC	20	5.0%	✅
Prompt Testing And Dialogue	PTEST	20	5.0%	✅
Agent Design And Roles	AGENT	20	5.0%	✅
Analysis And Recommendations	ANLYS	20	5.0%	✅
Graph-Based Knowledge Models	GRAPH	16	4.0%	✅
Automation Reporting And Capstone	WORKF	14	3.5%	✅

Visual Distribution

Persona Segmentation And  ███████  60 ( 15.0%)
Research Design And AI Li █████  40 ( 10.0%)
Persona Design            █████  40 ( 10.0%)
Prompt Design And Outputs █████  40 ( 10.0%)
Multi-Agent Orchestration ███  30 (  7.5%)
Brand And Asset Evaluatio ███  30 (  7.5%)
Rubrics Scores And Eviden ███  30 (  7.5%)
AI And Research Foundatio ██  20 (  5.0%)
Ethics Privacy And Govern ██  20 (  5.0%)
Prompt Testing And Dialog ██  20 (  5.0%)
Agent Design And Roles    ██  20 (  5.0%)
Analysis And Recommendati ██  20 (  5.0%)
Graph-Based Knowledge Mod ██  16 (  4.0%)
Automation Reporting And  █  14 (  3.5%)

Balance Analysis

✅ No Over-Represented Categories

All categories are under the 30% threshold. Good balance!

Category Details

Persona Segmentation And Quality (PERQ)

Count: 60 concepts (15.0%)

Concepts:

• 1. Customer Segmentation
• 1. Behavioral Segmentation
• 1. Demographic Segmentation
• 1. Psychographic Segmentation
• 1. Needs-Based Segmentation
• 1. Value-Based Segmentation
• 1. Customer Archetypes
• 1. Primary Persona
• 1. Secondary Persona
• 1. Negative Persona
• 1. Edge-Case Persona
• 1. Adversarial Persona
• 1. International Persona
• 1. Accessibility Persona
• 1. Skeptical Customer
• ...and 45 more

Research Design And AI Limits (RSRCH)

Count: 40 concepts (10.0%)

Concepts:

• 1. Traditional Focus Groups
• 1. Customer Interviews
• 1. Customer Surveys
• 1. Research Sample Size
• 1. Research Turnaround Time
• 1. Research Cost
• 1. Iterative Research
• 1. Exploratory Research
• 1. Evaluative Research
• 1. Research Questions
• 1. Research Objectives
• 1. Research Scope
• 1. Research Assumptions
• 1. Research Constraints
• 1. Research Validity
• ...and 25 more

Persona Design (PERDS)

Count: 40 concepts (10.0%)

Concepts:

• 1. Customer Persona
• 1. Persona Purpose
• 1. Persona Template
• 1. Persona Profile
• 1. Persona Identity
• 1. Persona Background
• 1. Persona Narrative
• 1. Persona Context
• 1. Persona Demographics
• 1. Persona Psychographics
• 1. Persona Behaviors
• 1. Persona Preferences
• 1. Persona Attitudes
• 1. Persona Values
• 1. Persona Beliefs
• ...and 25 more

Prompt Design And Outputs (PRMPT)

Count: 40 concepts (10.0%)

Concepts:

• 1. Prompt Engineering
• 1. Prompt Objective
• 1. Prompt Structure
• 1. System Prompt
• 1. User Prompt
• 1. Persona Prompt
• 1. Moderator Prompt
• 1. Reviewer Prompt
• 1. Skeptic Prompt
• 1. Evaluation Prompt
• 1. Prompt Context
• 1. Context Management
• 1. Context Prioritization
• 1. Context Compression
• 1. Role Definition
• ...and 25 more

Multi-Agent Orchestration (MULTI)

Count: 30 concepts (7.5%)

Concepts:

• 1. Multi-Agent System
• 1. Agent Orchestration
• 1. Agent Workflow
• 1. Agent Handoff
• 1. Agent Coordination
• 1. Agent Independence
• 1. Shared Context
• 1. Isolated Context
• 1. Parallel Evaluation
• 1. Sequential Evaluation
• 1. Independent Review
• 1. Round-Table Discussion
• 1. Moderated Discussion
• 1. Agent Debate
• 1. Debate Protocol
• ...and 15 more

Brand And Asset Evaluation (BRAND)

Count: 30 concepts (7.5%)

Concepts:

• 1. Marketing Asset
• 1. Brand Identity
• 1. Brand Positioning
• 1. Brand Promise
• 1. Brand Personality
• 1. Brand Voice
• 1. Brand Tone
• 1. Value Proposition
• 1. Product Messaging
• 1. Message Hierarchy
• 1. Messaging Consistency
• 1. Visual Identity
• 1. Logo Evaluation
• 1. Color Evaluation
• 1. Typography Evaluation
• ...and 15 more

Rubrics Scores And Evidence (RUBRC)

Count: 30 concepts (7.5%)

Concepts:

• 1. Evaluation Framework
• 1. Evaluation Criterion
• 1. Evaluation Rubric
• 1. Rubric Dimension
• 1. Rubric Completeness
• 1. Rubric Fairness
• 1. Scoring System
• 1. Rating Scale
• 1. Scale Anchors
• 1. Scoring Guidance
• 1. Weighted Criteria
• 1. Score Normalization
• 1. Confidence Rating
• 1. Evidence Collection
• 1. Supporting Evidence
• ...and 15 more

AI And Research Foundations (AIFND)

Count: 20 concepts (5.0%)

Concepts:

• 1. Artificial Intelligence
• 1. Generative AI
• 1. Large Language Models
• 1. Language Model Tokens
• 1. Model Context Window
• 1. Model Instructions
• 1. Model Responses
• 1. Probabilistic Output
• 1. Synthetic Users
• 1. Synthetic Personas
• 1. AI Persona Testing
• 1. Synthetic User Research
• 1. Customer Simulation
• 1. Agent-Based Simulation
• 1. AI Focus Groups
• ...and 5 more

Ethics Privacy And Governance (ETHIC)

Count: 20 concepts (5.0%)

Concepts:

• 1. Informed Consent
• 1. Customer Privacy
• 1. Personal Data
• 1. Sensitive Attributes
• 1. Data Minimization
• 1. Persona Disclosure
• 1. Synthetic Data
• 1. Real Customer Validation
• 1. Evidence Triangulation
• 1. Claim Verification
• 1. Uncertainty Disclosure
• 1. Confidence Calibration
• 1. Ethical Guardrails
• 1. Fairness Review
• 1. Harm Assessment
• ...and 5 more

Prompt Testing And Dialogue (PTEST)

Count: 20 concepts (5.0%)

Concepts:

• 1. Prompt Testing
• 1. Prompt Test Case
• 1. Prompt Benchmark
• 1. Prompt Comparison
• 1. Prompt Iteration
• 1. Prompt Failure Mode
• 1. Ambiguous Instructions
• 1. Conflicting Instructions
• 1. Instruction Hierarchy
• 1. Response Consistency
• 1. Hallucination Reduction
• 1. Character Maintenance
• 1. Neutral Question Design
• 1. Leading Questions
• 1. Open-Ended Questions
• ...and 5 more

Agent Design And Roles (AGENT)

Count: 20 concepts (5.0%)

Concepts:

• 1. AI Agent
• 1. Agent Role
• 1. Agent Goal
• 1. Agent Instructions
• 1. Agent Context
• 1. Agent Memory
• 1. Agent Tools
• 1. Agent Output
• 1. Agent Autonomy
• 1. Agent Boundaries
• 1. Persona Agent
• 1. Moderator Agent
• 1. Expert Reviewer Agent
• 1. Skeptic Agent
• 1. Brand Strategist Agent
• ...and 5 more

Analysis And Recommendations (ANLYS)

Count: 20 concepts (5.0%)

Concepts:

• 1. Pattern Detection
• 1. Cross-Persona Comparison
• 1. Response Coding
• 1. Theme Identification
• 1. Sentiment Pattern
• 1. Contradiction Detection
• 1. Messaging Gap
• 1. Credibility Gap
• 1. Trust Signal
• 1. Confusion Point
• 1. Risk Assessment
• 1. Risk Severity
• 1. Risk Likelihood
• 1. Recommendation
• 1. Recommendation Priority
• ...and 5 more

Graph-Based Knowledge Models (GRAPH)

Count: 16 concepts (4.0%)

Concepts:

• 1. Knowledge Graph
• 1. Graph Node
• 1. Graph Edge
• 1. Graph Relationship
• 1. Graph-Based Evaluation
• 1. Persona Node
• 1. Asset Node
• 1. Goal Node
• 1. Pain Point Node
• 1. Reaction Node
• 1. Criterion Node
• 1. Recommendation Node
• 1. Evidence Node
• 1. Relationship Type
• 1. Organizational Memory
• ...and 1 more

Automation Reporting And Capstone (WORKF)

Count: 14 concepts (3.5%)

Concepts:

• 1. No-Code Workflow
• 1. Workflow Automation
• 1. Evaluation Pipeline
• 1. Automated Summarization
• 1. Automated Comparison
• 1. Automated Reporting
• 1. Executive Summary
• 1. Persona Comparison Report
• 1. Evaluation Heat Map
• 1. Recommendation List
• 1. Improvement Plan
• 1. Executive Dashboard
• 1. Capstone System
• 1. Scalable Research Process

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 11.5%)
• ✅ MISC category minimal: Good categorization specificity

Educational Use Recommendations

• Use taxonomy categories for color-coding in graph visualizations
• Design curriculum modules based on taxonomy groupings
• Create filtered views for focused learning paths
• Use categories for assessment organization
• Enable navigation by topic area in interactive tools

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Report generated by learning-graph-reports/taxonomy_distribution.py