Client: Schibsted Nordic Marketplaces
My role: UI and UX designer
Period: Spring 2024
My role: UI and UX designer
Period: Spring 2024
In my role as a visual designer in Schibsted Nordic Marketplaces, I got to work on a project called Mario - focusing on the potential of AI, and laying the groundwork for future AI-driven solutions in our Nordic marketplaces.
Goal and Approach:
The goal of Project Mario was to develop an innovative, demoable user-facing solution using AI technologies. The project focused on enhancing the search function and personalization features in Schibsted marketplaces by integrating advanced AI capabilities.
The goal of Project Mario was to develop an innovative, demoable user-facing solution using AI technologies. The project focused on enhancing the search function and personalization features in Schibsted marketplaces by integrating advanced AI capabilities.
Challenges:
Challenges included creating new AI-driven functionalities without replicating existing features. The focus was on problem-statement-based search and conversational flows to keep the project innovative.
Challenges included creating new AI-driven functionalities without replicating existing features. The focus was on problem-statement-based search and conversational flows to keep the project innovative.
Findings:
We identified significant opportunities in AI search and personalization. Key functionalities included:
We identified significant opportunities in AI search and personalization. Key functionalities included:
- AI Search: Using text, image, and voice inputs for comprehensive results.
- Suggested Searches: Helping users use natural language and showcasing AI's contextual understanding.
- Similarity Search: Combining text and image for accurate product matches.
- Condition Evaluation: AI-generated condition assessments.
- Recommendations: Personalized listings based on user interactions.
UX Learnings:
Design principles emphasized variability, user control, trust, and exploration. Key considerations included transparency and fostering a conversational interface.
- Suggested Searches: Helping users use natural language and showcasing AI's contextual understanding.
- Similarity Search: Combining text and image for accurate product matches.
- Condition Evaluation: AI-generated condition assessments.
- Recommendations: Personalized listings based on user interactions.
UX Learnings:
Design principles emphasized variability, user control, trust, and exploration. Key considerations included transparency and fostering a conversational interface.
Tools and Methods:
The project used inspiration workshops, customer journey mapping, concept workshops, user stories, wireframes, and Figma sketches, focusing on mobile user experience.
The project used inspiration workshops, customer journey mapping, concept workshops, user stories, wireframes, and Figma sketches, focusing on mobile user experience.
Low fidelity wireframes
High fidelity design
Recording of demo