Outcome-Driven Design for Complex Products
A rigorous, evidence-based methodology designed to bridge the gap between Human Factors science and AI-native production. We reduce risk before we write code.
Diagnose & Align
Clarity precedes execution. We apply rigorous research to align user needs with business goals and organizational constraints. By mapping these realities early, we identify high-value leverage points and define exactly what is NOT worth building.
Designing the 90% Below the Surface
In the AI era, the interface is just the tip of the iceberg. We architect the invisible layer: the Context Awareness, Intent Recognition, and Data Schema that power the system. We define how the product thinks before we determine how it looks.
Structuring the Human-Machine Dialogue
We iteratively design the system architecture against the logic model. We focus on adaptive workflows and error recovery protocols, ensuring the system can handle ambiguity and guide the user back to the 'Happy Path' without friction.
Testing the Blueprint
We test the blueprint, not the paint. We build logic-backed prototypes to test critical flows against real human behavior, ensuring the product behaves correctly, not just ideally.
Polish Without Rework
We engineer Agentic Design Systems. We generate a machine-readable 'Single Source of Truth' (tokens.json) that automates the connection between Figma and Code, eliminating design drift forever.
Ensuring Intent Survives
Ensuring intent survives implementation. Whether we build the MVP (via Next.js/AI) or partner with your eng team, we validate the build against the logic to prevent 'product drift'.
Why this works
It treats Product Design as Engineering, not Art.
The Result
Less rework, faster shipping, and products that actually handle real-world complexity.