Research / 2025
Persona Profile
An interactive psychological network model joining cognitive structure, trait frameworks, and emotional transitions.
A six-month research interface that reframes persona assessment as a graph of connected cognitive and emotional signals.

- Role
- Research systems builder
- Timeframe
- 2025
- System
- Research
Overview
The system in context.
Persona Profile maps cognitive and emotional patterns into a network whose hubs, bridges, clusters, and isolated nodes can be inspected. Rather than reducing a person to one score, the interface shows how signals relate and which concepts organize the graph.
The preserved research report combines network metrics with the Five-Factor Model, Extended Traits, Primal World Beliefs, and Markov-chain emotional dynamics. A related public repository explores the model as an alternative hiring-intelligence surface.
What shipped
- Preserves an interactive 200-node cognitive-semantic network and its graph metrics.
- Triangulates Big Five, Extended Traits, and Primal World Beliefs in one report.
- Models emotional-state transitions with a Markov-chain layer.
- Connects research analysis to a public neuro-hiring platform prototype.
Measured context
The numbers, with their meaning intact.
- network nodes
- 200
- network edges
- 5,276
- average connections
- 52.76
Node count reported by the preserved Persona Profile research interface.
Edge count reported by the preserved research interface.
Average connections per node reported in the project analysis.
Product record
The working surface.
Screenshots from the product and project record. Open any frame for a closer view.
Build story
From signal to shipped system.
01 / Map
Represent the mind as a network
Cognitive and emotional concepts become nodes whose relationships can be measured and explored.
02 / Interpret
Read hubs, bridges, and communities
Graph structure reveals organizing concepts and imbalances that a flat trait score would hide.
03 / Triangulate
Compare multiple psychological lenses
Trait models and transition dynamics are layered onto the graph without presenting any one lens as definitive.
Project links
Explore this project.
Open the live product, working demo, publication, or repository.