Watson Search and Suggest


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Directly after the successful launch of Watson Data Platform, our team was tasked with evaluating and concepting a future state of one of the key tools within the platform. GM and Chief Business Officer, Watson & Cloud Platform, Derek Schoettle wanted to change the way people perceive data analytics and make it easier to consume.

Our focus for this project was solely on our Data Catalog tool, specifically on how we can make it easier for our users to search and locate specific data within their catalog. As it stands today, data professionals spend 80% of their time searching for and preparing the data they need. Data Catalog helps them reclaim that lost time with intelligent, automated, and simplified data discovery, curation, and governance.

With a three week deadline, our team reviewed feedback from sponsor users, conducted three workshops, developed a point of view around design principals and crafted UX wires and Hi-Fi visuals for this blue-sky project.

Design Lead: Bhavika Shah
Visual Lead: Joshua Kramer
Visual Design: Kacie Eberhart, Joshua Kramer

UX Design: Kacie Eberhart

Done while employed at IBM.

Tasked with a broad request, our team conducted three workshops to ensure that we had a clear and unifying direction.

Product Reviews

We first started by changing the way we were thinking about information consumption. With catalog being such a technical tool, we wanted to take a step back and look at how other, more consumer facing, products allow people to search and find exactly what they are looking for. For this one, it was all about the ease and delight of the experience.

A list of products included:

Airbnb, Amazon, Amazon Prime Video, Apple Music, Google, Google Trends, Hostel World, Hulu, Netflix, Quora, Sound Cloud, Spotify


Each team member was tasked with creating a storyboard for three features gathered from the previous workshop.

Features we gravitated toward:

- Refined Search
- Human Centered Browse
- Users Vet Content
- Recommendations based on Network
- Credible Profiles
- Contextual Recommendations


For our final workshop, our team split into two groups to focus on the two most important features, Search and Social. From there it was all about creating wires and flows for each of those two features.

Identifying Our Design Principles

1. Search always comes first
2. Progressive Disclosure
3. Users are not shown all assets, ever
4. Curated Browse (by system, social, user)
5. Social is key
6. Every user has a profile
7. Visually differentiate types of content to user
8. Projects are separate from catalog
9. “Tag” and “Collections” not “Categories