When the problem isn‘t clear, the next investment gets risky.
Pattern Theory helps teams work out what's actually going wrong
before they spend more money fixing the wrong thing.
Trusted with messy problems
Agriculture / B2B SaaS
UI consistency was the assignment. A shared institutional memory was the problem.
I was hired to fix a design system. But the deeper issue was that the product needed to remember what mattered when the people around it changed.
Read the Oaken case →
What came in
Design system inconsistencies across a growing product.
What didn't fit
The bigger issue wasn’t UI. It was how the product handled changing people, relationships, and data.
The proof
When one person’s operational memory disappeared for months, someone else could step in without losing the thread.
Third-party logistics / Operations
Ninety steps to one invoice, and the fix wasn't in billing.
Everyone agreed invoicing was slow and error-prone. Nobody had mapped why.
Tracing the process pulled upstream to an onboarding form nobody actually completed, so the recommendation added the right friction there instead.
Read the Ninety Steps case →
What came in
A billing system everyone agreed was slow and error-prone, and nobody had mapped.
What didn't fit
The ninety manual steps traced upstream to an onboarding form that only ever got a sixth of its questions answered.
What changed
A previously undocumented process got mapped, and the team arrived at a shared definition of what billing was actually for.
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Send me the mess as you see it. Don't diagnose, just a high level overview and I'll respond with what catches my attention.