Interfaces That Work
the Way People Think.

Challenge

An analytics platform had grown from a simple reporting tool into a feature-rich application over three years, but the interface still reflected its early-stage architecture. Users could access over 40 report types, but the navigation was a flat sidebar list that required scrolling. Chart configuration involved a seven-step wizard that forced users through options irrelevant to their use case. New users required a 45-minute onboarding call, and the support team fielded dozens of "how do I find X" tickets weekly.

Strategy & Execution

We began with user research — interviewing twelve active users across different roles (analyst, manager, executive) to understand which features they used daily versus rarely. This revealed that 80% of users regularly accessed only eight of the forty report types. We restructured the navigation around usage frequency and user roles, replacing the flat list with a categorized system featuring "pinned" favorites. The report configuration wizard was replaced with a progressive disclosure pattern — showing essential options first with advanced settings available on demand. We designed a comprehensive design system in Figma with 140+ components.

Key Decision

We debated between a complete navigation overhaul and a gradual migration. Research showed that power users had deeply ingrained muscle memory for the existing layout, so we implemented the new navigation with a "classic view" toggle that users could switch to during the transition period. This prevented the backlash that often accompanies radical redesigns of products with established user bases. Usage data showed that within six weeks, 90% of users had permanently switched to the new navigation.

Outcome

Challenge

A fintech company had a functional mobile app for peer-to-peer payments, but onboarding completion rates were problematic. The registration flow required 14 screens of information input — personal details, identity verification, bank account linking, and security setup. Users were dropping off at various points throughout the flow, with the highest abandonment occurring during identity verification, which required uploading three separate documents on separate screens.

Strategy & Execution

We mapped the onboarding flow against regulatory requirements to understand which steps were legally necessary versus internally imposed. We consolidated the flow from 14 screens to 6 by combining related inputs, removing optional steps from the critical path (moving them to post-onboarding), and redesigning the identity verification to support multi-document upload on a single screen with camera capture. We added a progress indicator showing completion percentage, reduced form field count by pre-filling data from existing inputs where possible, and designed contextual help text that explained why each piece of information was needed.

Challenges Encountered

The compliance team initially resisted reducing screen count because they wanted each data point to have "its own moment." Through usability testing, we demonstrated that splitting related information across screens created a sense of endless progress that drove abandonment. We found a middle ground: grouped inputs with clear section labels that satisfied compliance's need for distinct data categories while keeping the user's perception of progress moving forward.

Outcome

Challenge

A SaaS company with a team of three designers and eight frontend developers had no shared design system. Each designer made component decisions independently, resulting in seventeen different button styles, four different modal patterns, and inconsistent spacing across the application. Developers spent significant time interpreting design mockups because specifications varied between designers. Visual inconsistencies were creating a fragmented user experience and eroding user trust.

Strategy & Execution

We audited every screen in the existing application, cataloging all component variants and visual patterns. We consolidated this into a rationalized component library — reducing seventeen button styles to four purposeful variants, standardizing form components, and establishing a spacing and typography scale. The system was built in Figma using auto-layout and component variants, with comprehensive documentation covering usage guidelines, do/don't examples, and accessibility requirements. We conducted workshops with both the design and development teams to ensure adoption.

Lessons Learned

The most valuable part of the design system was not the component library itself — it was the design principles and decision framework documented alongside it. When designers and developers understood the rationale behind component choices (why four button variants, when to use a modal versus inline expansion, how to apply the spacing scale), they could make consistent decisions for new patterns that the system did not yet cover. A design system without design principles is just a template library.

Outcome

Challenge

An EdTech startup had a 47-page feature specification document for their learning platform but no clarity on what to build first. The founders could not agree on the MVP scope — every feature felt essential. They had limited runway and needed to get a testable product in front of users within three months, but the feature list as written would take over a year to build.

Strategy & Execution

We facilitated a two-day product strategy workshop with the founding team. Using a prioritization framework that scored features by user value, business value, and implementation effort, we reduced the feature list from 47 items to 9 core features. We defined the "one thing" the product needed to do well to validate the concept — in this case, enabling a student to complete a structured learning module and receive feedback. Everything else was pushed to the post-validation roadmap. We then wireframed the core flow and built a clickable prototype that the founders used to pitch investors and recruit beta testers.

Key Decision

The founders initially wanted a social feed feature in the MVP, arguing it would differentiate from competitors. User interviews revealed that prospective users valued content quality and structured learning over social interaction. We recommended cutting the social features entirely from MVP and focusing development time on the content delivery and feedback loop. This reduced the MVP development timeline from an estimated five months to ten weeks.

Outcome