Adaptive Cognitive Support System

Product Design · UX Strategy · Interaction Design
A state-aware interaction system that adapts interface complexity in real time during moments of cognitive overload.

Overview

A four-stage interaction system designed to adapt interface complexity based on cognitive load.

Instead of requiring users to self-regulate or interpret their state, the system adjusts structure, pacing, and decision depth in real time.

System summary

01 — Entry
Minimal interaction entry point designed for high cognitive load states.

02 — Adaptive Path
Interaction depth adjusts based on inferred user capacity.

03 — Stabilization
Structured, step-based flow reduces cognitive saturation through sequencing.

04 — Reflection
Reflection is introduced only after cognitive load decreases.

Clarity-First Government Intake

Service Design · UX Design · Information Architecture
A pre-application system that prepares users before form interaction begins.
Government applications often fail not because of complexity, but because users are placed into high-stakes decisions before they are prepared to make them.

This system introduces an orientation layer that improves readiness before intake begins.

Overview

Instead of simplifying the form itself, the experience restructures entry into four stages:

Orientation → Expectation Setting → Staged Intake → Guided Entry

Design Decisions

01 — Orientation Before Task Entry
Adds a dedicated layer explaining what the application is, what it involves, and what is required before interaction begins.

02 — Expectation Setting as Cognitive Support
Surfaces time, steps, and required materials upfront to reduce uncertainty.

03 — Progressive Information Disclosure
Breaks information into sequential steps to reduce simultaneous cognitive load.

04 — Guided Entry Instead of Immediate Intake
Creates a gradual transition into form completion with contextual support.

From Streaks to Identity

Product Design · UX Strategy · Behavioral Design
A redesign of engagement systems that shifts learning from habit reinforcement to capability and identity formation.
Streak-based systems reinforce consistency, but not capability. This project reframes engagement around what learners become able to do — not just what they maintain.

System overview

The experience shifts the learning loop from behavior maintenance to capability recognition through four changes:
Simulation as default → Layered complexity → Identity-based feedback → Session pacing

Design Decisions

01 — Simulation as Default
Simulation-based interaction becomes the primary review mode rather than a secondary or premium feature.

02 — Capability-Based Feedback
Feedback shifts from tracking participation to recognizing demonstrated capability.

03 — Progressive Complexity Without Paywalls
All users access increasing challenge; premium expands feedback depth, not difficulty gating.