Enterprise UX Design
Designs user experiences for B2B and enterprise software.
Fuzzy Math
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About Fuzzy Math
Fuzzy Math provides user experience design for B2B and enterprise software. The consultancy modernizes legacy systems, improves business applications, and aligns product experience with broader business goals. Its work includes UX and competitive evaluations, strategy workshops, AI in design training, and longer-term transformation engagements. Fuzzy Math uses a data-informed process covering discovery, design, delivery, and ongoing measurement. The team partners with product management and IT leadership to understand users, define goals, create interfaces, support implementation, and refine products over time. Case studies include data security platforms and pharmaceutical trial analysis software. Fuzzy Math is based in Chicago and serves organizations developing complex business applications.
Disclosure: Profile information has been compiled from publicly available sources and has not yet been verified by the business.
Representative photos. Illustrative images for this category, not photos of Fuzzy Math and not provided by the business.
At a glance
- Team
- Small teams work toward a shared vision.
- Exclusively dedicated to user-centered design.
- UX Transformation System™ starts and ends with data.
- Offers one-week, low-commitment engagements.
- Over a decade of experience in UX design.
From fuzzymath.com, checked 22 Oct 2026. Only what the business states on its own website.
Services
- Digital Product Strategy Defines new products or refines existing products.
- UI Design Designs and implements digital interfaces.
- UX Organization Design Helps optimize UX teams, structures, and processes.
- UX Training & Hiring Customized design training and hiring support.
- AI in Design Training
- Strategy Workshop
- UX & Competitive Evaluation
As listed by Fuzzy Math. Prices as published by the business and may change.
Services & specialities
Highlights
Legacy Modernization
Revitalizes older software through a strategic UX approach.
Data-Informed Process
Uses research, measurement, and feedback to guide design decisions.
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