No longer a trade-off. For decades, product teams had to choose between shipping fast and shipping the best version. AI removed that limit. What it did not replace is knowing what is worth building.
Led by Jeff Skop · 20+ years of UX leadershipWorkday · Expedia · AT&T · IBM · startups and studios
Good ideas were out of scope.
Scope, time and budget decided what shipped: the minimum viable product. Most of what users would have valued was ruled out of scope.
AI removed the limit.
Building, testing and documenting now take days, not quarters. What used to be out of scope is back in.
People still direct the craft.
AI can build everything. People decide what should exist: what to remove, what to combine, what to promote. That judgment comes from research, well-structured data and 20+ years of product design.
Speed and quality. Both.
They were never one trade-off. They are two axes, and the product now lands in the corner that is both.
Shipped: the minimum viable productAI builds, tests and documentsRemoved.Research showed nobody needed them.Combined.Two features, one job.Promoted.It is what people use most.Slow, high qualityThe old waterfall wayFast, low qualityThe old MVP (minimum viable product)SlowFastHigh qualityLow quality
Most valued productSpeed and quality
Process
Decide in the product, not in documents
From Meeting To Build In Days
Your team reviews a working prototype, not a document. We turn what you discuss into improvements almost in real time, so iterations that used to take weeks or months take days. And because AI lets us do more, the question stops being scope creep and becomes: is this the best possible product?
BeforeOne version. Documents, hand-offs and waiting between every step.
StrategyDesignBuildLaunchTestLearn
NowIn the same time, version after version. Each review becomes the next one.
Version 1
Version 2
Version 3
Version 4
Every version still runs all six steps.The rigor stays. The waiting between steps goes.
Step 01
Strategy
Meet, define requirements and agree on a strategy.
Step 02
Design
Apply the strategy to the product in clickable, high-fidelity designs.
Step 03
Build
Turn designs into working software, accelerated by AI.
Step 04
Launch
Put it in users' hands, with requirements and design system kept in step.
Step 05
Test
Validate it with real users and automated checks.
Step 06
Learn
Measure what worked, then start the next cycle.
Reviewed At Every StepClarity · Focus · Direction · Intent
How We Design AI
The system drafts. People decide.
Nothing AI makes counts until a person accepts it, and every rule it learns can be seen and undone.
Borrow what people know.
Familiar patterns from the tools people use every day. The shortest learning curve is one your users already climbed.
Write the rules down.
Principles and a design system turn one product into a pattern your next app starts from.
Services
Strategy, research, design, systems
Product Strategy
What to build, who it is for, and where AI earns its place. We study the tools your users already rely on, scope requirements with every stakeholder, and set a vision your team can build toward.
You get: teardown · scoped requirements · vision & principles
Build-Ready Prototypes
High-fidelity, clickable and tested. Your stakeholders review it, your engineers build from it. Kickoff to frozen prototype in weeks.
You get: working prototype · test suite · living requirements
Design Systems
Tokens, components and principles, with accessibility enforced by automated checks. Your second product ships faster than the first.
You get: tokens · components · WCAG 2.2 AA checks
UX Audits & Testing
An expert review of your product against proven usability principles, then testing with the people who use it. You learn what to fix first, and why.
You get: heuristic audit · usability findings · prioritized fixes
Information Architecture
Structure for products that have outgrown their navigation. We organize content, features and data so people find what they need, and search and AI have something solid to build on.
You get: content model · navigation · roadmap
UX & UI Design
Apps and websites designed end to end: flows, screens and interactions people understand the first time. AI shortens every round, so you compare more options and ship a more refined result.
You get: user flows · screen designs · interaction specs
Four skills, every engagement. The projects differ. What moves a client forward is the same each time. Pick a skill to see where it shows up.
AI product · Enterprise workflow
AI That Asks Before It Acts
An enterprise app where AI drafts the routine work and people approve it. Delivered as a tested prototype engineering builds from.
Strategy
Requirements across every role
Prototype
Clickable, tested, build-ready
System
Components and accessibility checks
Information architecture · Enterprise platform
Fix The Data, Then The Menu
People could not find things across hundreds of tasks. The fix was not a new menu. It was a shared model of what the product's things are and how they relate, so navigation, search and AI all build on the same foundation.
Research
How people think about their work
Model
Taxonomy, ontology, knowledge graph
Roadmap
From first use case to platform
Conversational AI · Customer support
Chat Alone Wasn't Enough
Field research with support agents and three tested concepts showed people trust AI more when it shows up in context, not only in a chat window.
Research
Field interviews with support agents
Concepts
Three directions, tested with users
Results
Higher satisfaction and adoption
Product redesign · Enterprise data
Built On What Users Know
A complex enterprise product redesigned around patterns people already use every day, so there is almost nothing new to learn.
"IntelliMart helped me realize my vision for WHOKA both now and in the future. Jeff did not build us a Website. He built us an inspirational vision in the form of a Website. IntelliMart's delivery far exceeded my expectations."
Tony Pressacco
WHOKA Community
"At IntelliMart, Jeff provided me with a Web design, content strategy and content platform that has been my primary vehicle for customer acquisition."
Courtney Olander
CEO, Olander Garden Design
"With no prior Website knowledge, Jeff helped me realize my vision for an online presence for a children's learning center. Through content strategy to building the initial site design, Jeff thoughtfully consulted and delivered a beautiful experience."
Nicki Gorter
Wildroots Learning Center
Bring The Hard Problem.
Tell us what you're building and where it's stuck.