Reviewer workflows moved from manual video hunting to risk signals, evidence, and audit-ready verdict support.
STATUS · AVAILABLE
Minneapolis-St. Paul / Remote
15+ YRS · ENTERPRISE
// LEAD PRODUCT DESIGNER
I turn complex business rules and technical constraints into clear products people trust and teams can ship.
I’m a hands-on, ambiguity-loving, AI-forward Product Designer with 15+ years leading end-to-end UX for B2B and B2C SaaS, human-AI decision systems, and trust-critical products at global scale. I was the founding designer for OnVUE.
Certification portal redesign reduced candidate friction across high-scale onboarding and scheduling workflows.
Certiport’s redesigned experience supported more than 200,000 new students each month.
B2B asset management patterns reduced admin effort across role-tiered enterprise workflows.
// INTERACTIVE PROOF
See the products move.
Open a short prototype walkthrough to see how the interaction model works, not only the final screen.
// FIG · 00
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Portfolio architecture
Six case studies. One design practice: making complex products clear, trustworthy, and shippable.
Together, these case studies span human-AI decision systems, remote proctoring, certification platforms, enterprise asset management, and specialized admissions tools.
FIGURE 00
// Trust-critical workflow map
From input and system logic to an accountable human outcome
Product or validated direction
Lead case study
Model → human handoff
// READ AS
Each case study covers a different part of the practice. AI-Assisted Review Workstation follows the path from system output to human decision and audit. AI-Guided Environment Validation, OnVUE Remote Proctoring, and Biometric Admissions sit closer to capture and operations. Certiport North Star and Enterprise Asset Manager show the enterprise systems around those moments.
Pearson VUE case studies
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Selected case studies
Six products from my time at Pearson VUE. Start with AI-Assisted Review Workstation, or explore by product challenge.
AI-Assisted Review Workstation
I defined human-AI interaction patterns for a review workflow that surfaced evidence, kept final judgment with people, and made decisions traceable.
- 10×faster reviews
- Humanfinal judgment
- Auditabledecision trail
AI-Guided Environment Validation
I defined human-AI interaction patterns for a validated proof of concept that helped candidates capture their environment, understand system feedback, and recover before an exam.
- 70%detection target
- ≤20%false-positive target
- POCvalidated concept
OnVUE Remote Proctoring
As founding designer, I led OnVUE from 0 to 1 and stewarded its experience across web, desktop, and mobile as the platform grew to serve 2.3 million exams annually.
- 300%growth supported
- ~25%fewer check-in failures
- 2.3Mannual exams
Certiport North Star
As sole designer, I co-led a three-year North Star across learner, educator, professional, and administrator journeys, tested the multi-persona Figma prototype, and shaped a phased roadmap.
- 65%less user friction
- 200K+new students monthly
- North Startested prototype
Enterprise Asset Manager
I redesigned a role-tiered asset marketplace and management platform for Microsoft, Amazon, and Apple programs, reducing administrator task time and clarifying a phased three-year product direction.
- 50%lower admin task time
- 16prioritized opportunities
- Phasedthree-year direction
Biometric Admissions
I designed the technical experience for an offline-capable, certificate-pinned tablet workflow spanning biometric capture, ID validation, local operation, cloud fallback, and recovery paths.
- Technicaldesign status
- Prototypevalidation direction
- No claimof production pilot
// FRAME · 01
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Working principles
Three principles that govern every case study above.
Evidence-first design
I turn AI uncertainty, compliance constraints, and operational reality into workflows people can audit. A model probability is not a verdict. The product needs to show what the AI saw, why it flagged the issue, what alternatives exist, and where the human chose a different path.
Recovery as a first-class action
Override, escalate, revoke, retry, and human fallback are not edge cases. They are part of the design. I draw the state machine before I draw the happy path because real operations always test the recovery path.
Systems, not screens
A finished design is not only a Figma file. It includes the cross-system context table, the role-tiered dashboard, the offline-mode fallback, the certificate-pinning rule, the audit trail schema, and the response-to-research log. I design the product surface and the operating model behind it, then document the design standards and patterns so the next designer can build on the decision instead of reverse-engineering it.
// REC · 04
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Peer references
What people I shipped with say.
He's the kind of designer you want on complex platforms where the user experience directly impacts trust and operational outcomes. Exceptional at turning messy constraints into intuitive flows, aligning stakeholders quickly, and delivering high-quality iterations at speed.
Greg AndersonSenior Product Manager · PearsonStrong ability to turn detailed technical requirements into intuitive, user-friendly experiences. Excellent systems thinking, balancing user needs, workflows, and platform constraints to deliver a streamlined and scalable solution.
Mani AnnaProduct Architect · PearsonAlways impressed by the clarity and comprehensiveness of the designs and prototypes he created. He knows how to make designs that are clean, functional, and straightforward to implement and develop.
Eric BootheSenior Software Developer · CertiportWhether building from scratch or tackling a difficult revamp, Michael consistently delivered thoughtful, scalable designs. He has a rare talent for articulating the 'why' behind every interaction, which helped the final implementation match the original vision.
Michele HuspekSenior Business Systems Analyst · Pearson