Simplify complexity. Ship adoption.

David Glazier Portrait

David Glazier | I design the intelligence layer between AI capability and real-world adoption. From product workflows at Walmart, Shopify, and Illumina to growth systems that know what to automate and what to keep human.

Webby Award 3X WEBBY WINNER
World Design Capital World Design Capital Ambassador
Good Design Good Design Award
UX Speakeasy Board of Directors, UX Speakeasy ('22-'25)
Trusted by product and growth teams at
Walmart
Shopify
Illumina
Intuit
Healthcare
E-commerce
Fintech
AI Marketing
The Problem

Companies are shipping AI features. Users aren't adopting them.

The models work. The trust, governance, workflow, and ownership layers don't.

I close that gap, whether you're deploying AI into products or applying it to how your team sells and grows.

What I Do

Bridging the gap between AI capability and user reality.

Product Intelligence

Designing the trust, decision, and workflow layers that move AI from pilot to daily adoption inside products and teams.

Growth Intelligence

Applying behavioral science to outreach, targeting, and sales systems so teams know what to automate and what to keep human.

Trust & Governance UX

Building transparent citation, fallback states, and clear decision boundaries for regulated environments.

Adoption Instrumentation

Measuring behavioral metrics like override rates and time-to-decision, not just API calls.

Proof of Execution
+19% Workflow Adoption
Cross-functional
Walmart: Led cross-functional design and operating alignment for a 14-team integration, driving workflow adoption (+19%), DAU retention (+27%), and GMV tasks (+15%).
+62% Task Success
Cross-functional
Shopify: Partnered across product and engineering to architect decision-support tooling, improving feature retention (+41%).
85% Tool Usage
Lead UX
Illumina: Led UX for a critical scientific planning flow, improving trust, discoverability, and commercial stickiness.
33% Behavior Lift
Sole Designer
Intuit / TurboTax: As sole designer on key checkout trust flows (including Apple Pay trust-critical UX), drove a 33% checkout conversion lift.
The AI Adoption Model

The Trust & Decision Framework

01

Efficiency

Streamlining cognitive load, not just click paths. Good workflow design anticipates operator needs and pre-loads context, reducing the time spent finding right information.

02

Trust

Designing transparent, governable feedback loops. System confidence requires explicitly explaining "why" a model made a recommendation, including sources, citations, and risk-levels.

03

Ease of Use

Making advanced capability feel like native intuition. Interface patterns should stay familiar, gently introducing new capabilities within workflows people already know.

04

Foundations

Creating resilient component systems for AI UI. Standardized design tokens ensure generative content is presented consistently, building structural reliability.

05

Cost

Measuring outcome impact, not just token usage. A successful implementation bridges the gap between infrastructure cost and business value generated by user action.

Founding Pilot

One workflow. Real results. Low risk.

A focused sprint to design and implement one AI workflow in your existing stack. You see how the intelligence layer works before committing to a larger engagement.

View Pilot Details

Whether you’re deploying AI, rethinking your growth systems, or not sure where to start, let’s figure it out together.

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