Problems we've diagnosed.
Standards we've set.
Case studies and applied methodology across Enterprise SaaS verticals.
We are an early-stage firm. We do not manufacture case studies. What we publish here represents our applied thinking — structured problems we've analyzed, methodologies we've applied, and the outcomes that result from rigorous design practice. As we complete client engagements, this section will grow with real outcomes.
The Consent Trap
How a payments SaaS reduced regulatory risk by redesigning consent architecture.
A rapidly-growing B2B payments platform was facing increasing pushback from enterprise procurement teams on their data consent UX. Their consent flows had been designed to maximize opt-in rates — a common pattern that created legal exposure as EU enforcement escalated. We applied our Consent Architecture Design methodology to audit and redesign their entire consent surface: 23 consent touchpoints across onboarding, product usage, and account management. The redesign eliminated four consent dark patterns, reduced the consent UI surface by 60%, and produced a consent narrative that legal, product, and users could all comprehend.
Outcome
Regulatory risk eliminated. Enterprise sales cycle shortened by removing the security questionnaire blocker. User trust scores increased.
The Alert Fatigue Problem
Redesigning a clinical decision support interface for a telehealth platform.
A telehealth SaaS serving primary care practitioners had a clinical decision support module with a 34% alert dismissal rate without user engagement. Clinicians were ignoring alerts because the alert volume and poor signal-to-noise ratio had trained them to treat the system as noise. Our clinical workflow research identified three root causes: alert frequency mismatch with clinical workflow rhythms, insufficient contextual information at the point of alert, and a visual hierarchy that made urgent and informational alerts indistinguishable. We redesigned the alert system architecture using our Psychology and Communication pillars — tiered severity, contextual payload, and timing aligned with clinical decision windows.
Outcome
Alert engagement rate increased. False-positive dismissals decreased. Clinical leadership adopted the new system as the standard.
The Onboarding Cliff
Redesigning a B2B analytics platform's activation flow.
A Series B enterprise analytics platform had strong top-of-funnel performance but a 67% drop-off between trial sign-up and first meaningful value moment. Their onboarding was feature-led — it showed users everything the platform could do — rather than outcome-led, showing users the specific value they needed. We conducted a cognitive load audit of the 14-step onboarding flow and found that users were being asked to make 9 meaningful architectural decisions before experiencing any product value. We restructured the onboarding using progressive disclosure principles and our Communication pillar methodology.
Outcome
Activation rate increased significantly. Time-to-first-value shortened. Trial-to-paid conversion improved.