Virtual Sei-katsu-sha
Usage & Prompt Knowledge
You can’t interview 10,000 people. But you can talk to them.
Virtual Sei-katsu-sha makes the unreachable, reachable.
Why Three Layers? Because No Single AI Can See the Full Human.
Market data tells you what is happening. Survey data tells you which segment. Neither tells you why. Each layer covers a blind spot the others cannot reach.
Layer 1 — Virtual Market Agent
The market brain AI. Analyzes macro market trends, competitive landscapes, and segment-level purchase behavior. Tests any strategy hypothesis and delivers GREEN / AMBER / RED verdicts backed by data.
Layer 2 — Quantitative Virtual Sei-katsu-sha
Simulates responses grounded in real survey data and KBP profiles. Segment-level hypothesis testing. Evaluates concepts, messages, and products at scale with statistical reliability.
Layer 3 — Qualitative Virtual Sei-katsu-sha
Reproduces values, lifestyle context, and emotional drivers. Articulates the “why” behind behavior that quantitative data alone cannot surface. AI personas with human contradictions built in.
“What do you secretly want but would never admit?”
Virtual Sei-katsu-sha can. And it never flinches.
Not a One-Way Pipeline. A Continuous Cycle.
Each layer generates inputs for the others — strategic hypotheses, validated patterns, and new hypotheses feed back continuously.
Data Collection
Market data, survey data, KBP profiles, competitive intelligence
Analysis & Clustering
Segmentation, value-based clustering, CEP extraction
AI Persona Generation
Build the 3-layer Virtual Sei-katsu-sha system (Market / Quant / Qual)
Activation
Hypothesis testing, concept development, comms strategy → Feedback loop back to 01
What Makes Our Prompts Different
Surface-level questions return surface-level answers. Sei-katsu-sha prompts reach the human truth.
“What do you think about this brand?”
“If this brand disappeared tomorrow, what part of your life would feel missing?”
“What do you usually do on weekends?”
“What was the most emotional moment during your last weekend?”
“Do you buy health food?”
“Between eating healthy and indulging in guilty pleasures, where does your heart lean? Tell me about that tension.”
Turn Human Voice into Strategic Action
Define Target
Set objective & select target persona. Establish clear persona focus.
Talk
Engage with the persona — ask questions or test ideas. Get real, emotional feedback.
Analyze
Analyze voices across multiple personas. Extract key insights behind likes and dislikes.
Recommend
Let personas recommend concepts, visuals, tones — aligned with their lifestyle.
Apply
Insight-driven output for strategy, campaign, content, and UX.
Match Persona Type to Planning Need
Quantitative Persona
Use for: Strategic Planning & Evaluation
Strengths: Behavioral pattern analysis, purchase intent measurement, message fit testing, A/B testing, market sizing, demand estimation
Strategic evaluation needs scale. Quantitative personas provide statistical backing.
Qualitative Persona
Use for: Insight Planning & Exploration
Strengths: Emotional profiles, extreme insights, lifestyle context, deep value understanding
Creative planning needs depth. Qualitative personas provide emotional truth.
“Not average. Not safe. But emotionally true.”
See the Future Before You Launch
Get a 360° preview of how your idea will be received across real-world channels.
Insight-to-Concept Loop
Understand context → Find insights → Build concepts → Test with Virtual Sei-katsu-sha → Learn & adjust. Sharpen your value proposition before investing further.
Future Reaction Mapping
Input your initiative and generate predictions: interview reactions, news coverage, social media response, word-of-mouth, and business talk forecasts.
Perception Flow Mapping
Map persona Perception, Pain Point, Key Channel, and Suggested Action across each stage: Consideration → Purchase → Retention.
Virtual Sei-katsu-sha in Production
Result: First-ever AI personas of an unreachable generation. Now being used in 3+ client engagements for youth-targeting strategy.
Result: Full pipeline from workshop → persona definition → validation → AI humanization. Reusable across multiple BA client briefs.
Result: Category Entry Point strategy validated through AI before consumer testing. 6 iteration cycles proving continuous improvement methodology.
Result: Strategic brief that would have taken 3 weeks of manual research delivered in 4 days. Positioning validated across 3 consumer segments before client presentation.