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Watson Education Services Platform



The Challenge

IBM Watson Education focuses on using AI to improve learning outcomes and implement solutions that will help all students succeed. Partnerships were key to providing services to teachers, students, and school districts.

I was brought onto the team to conceptualize and design a future services platform. The goal for my first six months was to provide a rich, interactive story around the platform concept to excite potential clients, drive conversations with partners, and facilitate prospective sales. Additionally, I worked with a small dev team to quickly deploy an MVP experience to validate market viability. Results of the MVP testing would guide the business’s decision to invest further in this project.

Role:
Product designer
MVP Team:
• Chengqi Zhu – Prototyper/FED
• Denise Coveyduc – Product Management


Approach 

Asked to highlight key services: content recommendation, cognitive search, and content library in client contexts.


Our Users

Asked to highlight key services: content recommendation, cognitive search, and content library in client c


Pain points

Asked to highlight key services: content recommendation, cognitive search, and content library in client c


Solution   

Asked to highlight key services: content recommendation, cognitive search, and content library in client contexts.

The Content Library MVP relies on digital trends and Watson AI technology to give teachers the tools they need to be most effective and help learners perform at the top of their abilities.


Outcome

Designed and launched beta services platform to market January 2019. Live code used to showcase with clients and collect feedback. Testing this MVP saved the company millions in potentially lost revenue, as the team learned this area was not worth further investment.


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