Democratizing Machine Learning for Everyone
Turning a black-box data science process into a guided, 4-step workflow.
The best screen in the entire UX revamp.
— Principal Data Scientist, on the confusion matrix I designed after 10+ iterations together
At a Glance
A fragmented ML training workflow with 12+ clicks, hidden hyperparameters, and dead-end error states. It worked for data scientists but wasn't accessible to business users.
Make machine learning accessible to non-technical users without dumbing it down for experts.
Got MIT certified in AI/ML product design. Embedded weekly with the Principal Data Scientist for months. Navigated 2-year timeline through engineering delays and layoffs. Hands-on with engineering due to limited front-end resources.
Reduced workflow from 12+ clicks to 7-9. All five SMEs found the entry point without help. Our Principal Data Scientist called the confusion matrix "the best screen in the entire UX revamp."
The Transformation
Narrated walkthrough of the Legacy friction vs. the Modern unified workflow.
Legacy ML Workflow
The old fragmented workflow: 4+ step path, drag model pill onto data flow, configure in popup, hidden hyperparameters, confusing "results not generated" errors.
New Guided Workflow
The new guided workflow: structured step-by-step flow, right-click entry, clear error handling, reduced from 12+ clicks to 7-9 clicks.
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Key Differences
- •Fragmented 4+ step workflow
- •12+ clicks through data flows and menus
- •Hidden hyperparameters behind right-click
- •Confusing "results not generated" errors
- •Structured 4-step guided flow
- •7-9 clicks via right-click entry
- •Clear error handling and validation
- •Accessible for non-technical users
D.E.S.I.G.N. Framework Applied
Discover Deeply
Zero ML background → MIT certified. Months embedded with our Principal Data Scientist before designing.
Empathize with the Ecosystem
Three personas with conflicting needs: data scientists wanted depth, business users wanted simplicity, analysts wanted both.
Simplify the Chaos
12+ clicks → 7-9. Fragmented workflow → structured 4-step flow. Dead-ends → clear error guidance.
Iterate with Inclusion
10+ iterations on the confusion matrix. Our Principal Data Scientist called it "the best screen in the entire UX revamp."
Grow Through Constraints
Engineering constraint: couldn't rebuild advanced mode. Solution: dual-experience (guided + advanced) that served both personas.
Navigate Forward
All five SMEs found the entry point without help. The patterns I developed here scaled to the IQ Plugin and platform-wide AI strategy.
Discover Deeply: How I Earned the Project
Turned a knowledge gap into an advantage. MIT certified. Months learning before designing.
Empathize with the Ecosystem: Understanding Users and Workflows
Three personas with conflicting needs. The existing experience served none of them well.
Simplify the Chaos: From Black Box to Guided Flow
Designed a structured 4-step guided flow: Problem Type → Target → Predictors → Hyperparameters.
The System Blueprint
Before solving for UI, I had to solve for system logic. These diagrams map the complex relationships between model types, training workflows, and user personas.
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Early concept wireframes
System Notes
User Flow Mapping
Architecture Diagram
Logic Map
Early Wireframes
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Design Pivots
Detailed artifacts and sensitive diagrams are available for authorized reviewers.
Design Principles Applied
Design Iterations
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Layered Disclosure Strategy
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Design Artifacts
Detailed artifacts and sensitive diagrams are available for authorized reviewers.
Grow Through Constraints: Earning Trust & Leading the Team
Dual-experience approach emerged from constraints. Led this while simultaneously owning ReportCaster and IQ Plugin.
Navigate Forward: Impact, Validation, and Reflection
5/5 SMEs found entry without help. Patterns became foundation for IQ Plugin and platform-wide AI strategy.
Legacy vs. Redesigned Workflow
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Detailed artifacts and sensitive diagrams are available for authorized reviewers.
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