Digital white-noise companion for babies and their parents
Position and contributions
As Lead Usability Engineer, I led a two-person creative team and owned the project from first client contact through final validation. In close coordination with the Product Owner, Team Lead Digital Marketing, and International Product Manager on the client side, the role encompassed the entire design process – from requirements gathering and UX conception through UI design and design system development to summative validation via remote usability testing.
The chosen usability engineering approach placed particular emphasis on early measurability and consistent user-centricity. The results of the final validation confirmed the design decisions: a System Usability Scale score of 81 (rating: "Very Good"), a task completion rate of 86% across all core flows, and full WCAG AA compliance. The redesign is currently being prepared for coordinated rollout in up to 10 countries across the CEE/CIS region – the review process in the App Store and Play Store is underway.
The Process
Step 1: UX Audit
A systematic analysis of the existing Espumisan Sleeping Sound App uncovered the key weaknesses: lack of accessibility, hard-to-recognize controls, missing fade-out for falling asleep, and a broken recording function. The findings formed the basis for prioritizing all subsequent design decisions.
Step 2: Requirements Gathering
In close collaboration with the Product Owner, Team Lead Digital Marketing, and International Product Manager, business goals, user groups, and the requirements of a multi-market rollout for up to 10 CEE/CIS countries were captured and structured.
Step 3: Product Ideation
Based on the identified weaknesses and requirements, initial solution directions were developed. Initial user journeys and rapid prototypes were created with the help of Claude Code, design direction sketches via Figma Make – with the goal of creating early validatable concepts without restricting creative freedom.
Step 4: User Stories Definition
The developed concepts were translated into structured user stories that served as the foundation for design and development. Claude Code and ChatGPT agents supported the formulation and ensured consistent coverage of all core flows.
Step 5: Solution Concept & Design
The complete UI design and a modular design system were built – compliant with WCAG AA across all screens. An initial draft of the component library was created with support from Claude Code. For the app's 40+ sound categories, visual video assets were generated using Adobe Firefly.
Step 6: Summative Validation Remote usability testing via the Useberry platform validated the redesign with real users. The results confirmed the design decisions: SUS score 82.5, task completion rate 86%, full WCAG AA compliance.

40+ Good Night Sounds
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Record own Good Night Sounds
Focus on Espumisan®
Key Details & Numbers
Project duration
2 months
Target markets
up to 10 countries (CEE/CIS-Region)
Usability Tests conducted
10x
System Usability Scale-Score
81 (Ranking: "Excellent" per Bangor et al.)
Task Completion Rate in Usability Testing
86%
Error Rate in Usability Testing
7,3%
Methods
UX-Audit der bestehenden App
Eine systematische Analyse der Espumisan Sleeping Sound App identifizierte über 20 Usability Issues - von fehlender Barrierefreiheit über schwer erkennbare Bedienelemente bis hin zu defekten Kernfunktionen. Die Ergebnisse priorisierten alle weiteren Designentscheidungen.
AI-gestützte Ideation & User Stories
Erarbeitung erster Lösungsrichtungen und 23 User Stories mithilfe von Claude Code, ChatGPT-Agenten und Figma Make — von der initialen User Journey bis zur konsistenten Abdeckung aller Kernflows.
Solution Concept & Design
Aufbau eines modularen Design Systems mit 200+ Komponenten, 60+ Screens in WCAG-AA-Konformität und 40+ Video-Assets via Adobe Firefly — vorbereitet für vier Alphabetgruppen.
AI-Workflow
Claude Code
Ideation, Prototyping, Requirements Analyse, Design System Draft
Figma Make
Ideation, Design Draft
ChatGPT
User Stories Formulierung
Adobe Firefly
Video Asset Generierung
Software Stack
Figma
Confluence
Knowledgebase
Adobe Creative Suit
After Effects, Photoshop





