Connecting home cooks through shared recipes and culinary inspiration.  A community-driven platform simplifying meal planning and fostering creativity.

Tasterz: Making Culinary Experience Better

End-to-End Design Process: Driving the design workflow for multiple projects, including user research, wireframing, prototyping, and crafting high-fidelity UI to deliver user-centered and visually engaging solutions.

Team Collaboration: Partnering with Product Managers, Developers, and stakeholders to align design objectives with business goals and ensure seamless implementation.

User-Centered Design: Conducting usability testing, prototyping, and user interviews to refine designs based on feedback, consistently enhancing user experience.

Design Quality & Usability: Creating pixel-perfect, easy-to-use interfaces, with a focus on optimizing user flows and improving accessibility across all platforms.

User-Centric Stakeholder Management: Collaborated with clients to gather design requirements, aligning project scope with user needs to support business goals and enhance user experience. 

Cross-Functional Collaboration: Worked with the Development team to ensure smooth design handoffs, provided detailed specifications, and maintained visual and functional consistency across components. 

Design Communication & Alignment: Regularly updated the PM and Creative Head on progress, shared insights, and aligned timelines to support an optimal user experience. 

Design Quality Assurance: Conducted rigorous design Q/A, resolving inconsistencies to deliver high-quality, user-friendly interfaces that met standards.

Dual Role: Served as UI/UX Designer and Product Manager for Razacar, a carpooling application, balancing creative design with strategic product decisions.

User-Centered Research: Conducted user research to identify pain points, emphasized empathy, and created user-centric designs that addressed key needs.

Team Leadership: Led a team of young tech enthusiasts, ensuring smooth collaboration and clear direction.

Business & Product Strategy: Developed the Lean Canvas model, designed the Business and Revenue model and gained hands-on experience in startup fundraising and legal documentation.

Cross-Functional Experience: Coordinated between design, business strategy, and product management to align the startup vision.

Created engaging graphic content for various digital platforms, enhancing brand visibility.

Assisted in developing visual assets for marketing campaigns and social media.

Collaborated with the design team to refine concepts and deliver impactful visuals.

OctoThink: Mind-enhancing app with challenges, games, and riddles to sharpen your cognitive skills. A brainy adventure for all ages awaits!

Octothink - Brain Games Application

This case study details my experience designing a platform, "Copilot Innovation," to help businesses understand and implement AI solutions.  I focused on creating a user-friendly experience that guides business leaders through an assessment process, ultimately making AI adoption less daunting.

Many businesses struggle to understand how AI can benefit them and lack the resources to effectively integrate AI technologies.  This leads to missed opportunities for growth and efficiency. Business leaders often feel overwhelmed by the complexities of AI, preventing them from taking the initial steps towards adoption.

My primary objective was to create a user-friendly platform that simplifies the AI adoption process for business leaders.  The key goal was to achieve a high survey completion rate and a significant number of sign-ups for detailed results.  Success was measured by the percentage of users completing the survey and signing up for AI adoption recommendations.

My research involved analyzing existing AI adoption resources and conducting surveys among business leaders to understand their challenges and needs. This process involved qualitative and quantitative research, leading to the creation of user personas reflecting the varying levels of AI literacy amongst our target audience.  I also studied competitor platforms to learn from their strengths and weaknesses.

During the ideation phase, I explored different approaches to presenting the AI adoption assessment, including interactive questionnaires, gamified elements, and personalized recommendations.  The final design focused on a step-by-step survey process, breaking down complex questions into easily digestible chunks, accompanied by visual cues and explanations to enhance understanding.  Feedback from initial user testing heavily influenced the final design choices.

I started with low-fidelity wireframes to outline the main sections and functionality of the platform.  The prototyping phase utilized Figma, allowing for iterative testing and refinement. The visual design prioritized clarity and simplicity.  A clean and modern aesthetic ensured accessibility and ease of navigation.  User testing was conducted throughout the design process using prototypes and iterative feedback loops.

One major challenge was managing the length of the survey.  To combat this, I implemented a progress bar, used a step-by-step approach breaking the survey into smaller, digestible sections, and included clear visual indicators showing users' progress.  I tested different question formats to minimize cognitive load, ensuring that users found the survey easy to navigate and complete.

The final platform features a user-friendly interface, a well-structured survey process, and a clear presentation of results.  Post-launch data showed a greater than 75% completion rate for the survey and a high sign-up rate for the detailed results and AI adoption recommendations.  User feedback was overwhelmingly positive, highlighting the clarity and ease of use of the platform.

This project reinforced the importance of user-centered design and the value of iterative testing.  I learned the significance of reducing cognitive load and optimizing the user experience to improve task completion rates and increase user satisfaction. In future projects, I'll focus even more on simplifying complex information and employing micro-interactions to improve the overall user experience.  The success of this project underscores the positive impact that a well-designed user experience can have on achieving project goals.

The Copilot Innovation platform successfully addressed the need for a user-friendly way for businesses to assess their AI readiness.  The high completion and sign-up rates demonstrate the platform's effectiveness.  Future development may include expanding the range of AI adoption recommendations and integrating more personalized features.

A user-centered design case study showcasing a platform that helps businesses assess and adopt AI technologies.

Copilot Innovation: Guiding Businesses Towards AI Adoption

I had the pleasure of working with Usman on several projects. He demonstrated strong UI and UX skills and helped us with the relaunch of our website. Usman was very committed and delivered requested changes and new elements with a quick turnaround. 

Justus Danneberg

Usman is a highly skilled and experienced UI/UX Researcher with a deep understanding of user-centered design principles and methodologies. They are also a strong communicator and collaborator, and I highly recommend them for any position in this field.