eBay Site User Assistance
Challenge: Content was shoe horned into “help” as “islands”, referred to as “hubs”. It was unclear to users which hub they can get assistance from. There was content overlaps in hubs and the content was not organized around users mental models or from the users perspective.
Solution
Understand the Content: The team conducted a thorough content audit to understand what currently existed and expressed that in a content map.
Ethnographic Interviews
Interviewed users over the phone. Mined the conversations for discrete tasks to develop a rich set of mental models.
Mental Modeling
Using material from the interviews and traditional affinity clustering, developed a view of how users thought about user assistance and eBay. The result was a rich mental model diagram that revealed what content already exists and where there were gaps.
Information Architecture
A strawman architecture was developed from the mental model and validated through the use of a card sort. The IA guided the final wireframes and specification documents.
Goals
- Create a Mental Model Diagram to reveal how your site users approach and think about eBay tasks.
- Display deep rich user data in a way that will bring all appropriate stakeholders on board with future changes.
- Create an architecture for the entire Site User Assistance are that makes content findable and usable.
Target User / Customer Base
XX million customers
Services Provided
- Ethnographic research
- Mental Models
- User Research
- Information Architecture
- Visual Design
