Enterprise product design from my time atPearson VUE

I’m a product designer

I make complex systems easier to understand and safer to use.

What colleagues say
He's the kind of designer you want on complex platforms where the user experience directly impacts trust and operational outcomes. He's exceptional at turning messy constraints into intuitive flows, aligning stakeholders quickly, and delivering high-quality iterations at speed.
What colleagues say
Michael has a strong ability to turn detailed technical requirements into intuitive, user-friendly experiences. He demonstrated excellent systems thinking, balancing user needs, workflows, and platform constraints to deliver a streamlined and scalable solution.
STATUS · AVAILABLE
Minneapolis / Remote 15+ YRS · ENTERPRISE
// PRODUCT DESIGNER

I turn complex AI and enterprise workflows into clear products people trust and teams can ship.

I’m a hands-on product design leader for complex B2B/B2C systems where speed, trust, and human judgment matter. During my time at Pearson VUE, I designed AI-assisted review, identity verification, certification, remote proctoring, and enterprise workflow products that improved review throughput, reduced user friction, and helped teams ship high-stakes experiences at scale.

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Product design process artifacts surrounding a ship-ready AI-assisted review interface
10× // faster AI-assisted review throughput

Reviewer workflows moved from manual video hunting to risk signals, evidence, and audit-ready verdict support.

65% // reduction in user friction

Certification portal redesign reduced candidate friction across high-scale onboarding and scheduling workflows.

200K+ // monthly users on certification platform

Global certification workflows served learners, educators, and professionals through clearer IA and personalization.

50% // reduction in admin time-on-task

B2B asset management patterns reduced admin effort across role-tiered enterprise workflows.

Product design prototypes spanning AI review, mobile environment validation, and biometric admissions
// 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 · Portfolio architecture

Six case studies. One design framework: where humans and machines decide together.

Each case study sits inside the same trust-sensitive workflow. A model or system surfaces a signal, the decision has real consequences, and a human still has to own the outcome.

FIGURE 00 // Trust-critical workflow map

From model signal to accountable decision across six shipped systems

Portfolio architecture map: six case studies arrayed across capture, model, human-in-the-loop, and outcome stages of a trust-critical workflow. A horizontal architecture diagram with four stages: Capture, Model & Triage, Human-in-the-Loop, and Decision & Audit. Six case studies are positioned across these stages. 01 · CAPTURE 02 · MODEL & TRIAGE 03 · HUMAN-IN-THE-LOOP 04 · DECISION & AUDIT Lead case study AI-Assisted Review Workstation Risk-ranked queue · evidence-first reviewer UX · structured verdicts · audit trail Workspace validation AI-Guided Environment Validation Computer-vision triage · candidate-led mobile capture Remote check-in Remote Proctoring Modernization Desktop ↔ Mobile Web ↔ Native handoff · presence sync · 10-stage journey Certification portal Global Certification Portal B2C / educator IA · sprint discovery · accessibility B2B asset platform Enterprise B2B Asset Platform Role-tiered admin · action-led dashboards · recovery flows Biometric admissions Biometric Admissions Workflow Tablet-native · offline-capable · certificate-pinned · LAN service discovery Mobile · Desktop · Tablet AI / ML · Computer Vision · Risk Reviewer · Greeter · Admin · TA Audit · Reconciliation · Outcome → Read this case first
Shipped to production Lead case study Model → human handoff
// READ AS

Each case study covers a different part of the same workflow. AI-Assisted Review Workstation follows the path from model output to human decision and audit. AI-Guided Environment Validation, Remote Proctoring Modernization, and Biometric Admissions Workflow sit closer to capture and platform operations. Global Certification Portal and Enterprise B2B Asset Platform show the enterprise systems around those moments.

Pearson VUE case studies · Selected case studies

Six systems I designed and helped ship during my time at Pearson VUE. Start with Smart Review, or skim by category.

All work
// AI · trust-critical · operator tooling

AI-Assisted Review Workstation

I designed a human-in-the-loop review system for high-stakes content moderation. Reviewers see the risk signal, the evidence behind it, and the decision path before they take action.

Human-AI workflowsAI triageExplainability
Before: manual review investigation
After: AI-assisted review workstation
BeforeAfter
  • 10×faster reviews
  • 98%operator agreement
  • 4.5 / 5operator rating (n=6)
Read case study
// AI · computer vision · explainability

AI-Guided Environment Validation

I designed a pre-exam workspace scan that uses AI to detect prohibited objects and unclear environments. The flow explains what happened, gives candidates a path to recover, and keeps human help available.

Computer vision UXAI triageHuman-in-the-loop
Before: four-photo workspace scan
After: AI-guided workspace scan
BeforeAfter
  • 70% · 20%AI target rates
  • 4.1 / 5explainability rating
  • Pilotvalidation stage
Read case study
// Multi-surface · scale · identity

Remote Proctoring Modernization

I redesigned a three-rail check-in across web, desktop, and mobile for a remote proctoring platform that handles 21M+ exams annually. The QR handoff became a clear state in the journey rather than a fragile workaround.

Cross-device UXModernizationEnterprise platforms
Before: fixed-pixel remote check-in
After: responsive cross-device check-in
BeforeAfter
  • 300%growth supported
  • 25%failure reduction
  • 2M+monthly users
Read case study
// IA · B2C · education

Global Certification Portal

I redesigned the IA, navigation, and personalization model for a portal serving B2C learners, educators, and professionals. A five-day design sprint gave stakeholders one decision point per day.

Platform IAModernizationAccessibility
Before: legacy certification portal
After: modernized certification portal
BeforeAfter
  • 65%friction reduction
  • 200K+monthly users
  • 4.5 / 5satisfaction rating
Read case study
// B2B · platform · roadmap

Enterprise B2B Asset Platform

I redesigned role-tiered voucher and asset management for three of the world's largest exam programs: Microsoft, Amazon, and Apple. The work turned 16 opportunities into a three-year roadmap.

Enterprise SaaSRole-based IAMulti-tenant platforms
Before: fragmented asset administration
After: role-tiered asset platform
BeforeAfter
  • 50%time-on-task ↓
  • 16prioritized opps
  • 3-yearroadmap shipped
Read case study
// Biometrics · native mobile · trust

Biometric Admissions Workflow

I designed an offline-capable, certificate-pinned tablet workflow for high-security admissions. Palm biometric capture, ID validation, LAN operation, Azure fallback, and recovery paths were all part of the same flow.

BiometricsSecurity UXOffline-first
Before: legacy desktop biometric admissions
After: tablet-first biometric admissions
BeforeAfter
  • 5failure modes · paths
  • 4 TAs · 2 sitespilot scope
  • 0permanent-block states
Read case study
// FRAME · 01 · Working principles

Three principles that govern every case study above.

01

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.

02

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.

03

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.

// REC · 04 · 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 · Pearson

Strong 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 · Pearson

Always 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 · Certiport

Whether 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
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