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Data Analysis and Visualization Platform Design

Beijing, Oct. 2015 - Present

The company I'm working for is specialized in providing customized softwares and services. I worked as a UX designer earlier and now as a product manager. My responsibility is to focusing on presenting complex and numerous data, translating them into simple and actionable insights, providing fluent user experience solutions for people who work with data. 

My Work Responsibility and Challenge - Use Design to Make Sense of Data​

In start-ups like us, things are moving rapidly. We don't have the luxury of time and resources to fail. To avoid failure and better respond to the needs of clients, design, as a relatively low-cost approach, is the best way to produce comprehensive visualizations of future alternatives in order to seek for interaction and feedback early in the process.

As a Product Manager - Moving Forward from Fuzzy Front End
 

  • Understand and analyze customer's need and overall product goal

  • Understand data and find the best solution using design thinking

  • Proactively design and work with product owners horizontally to define product & requirements

  • Work with engineers to find the best feasible solution

  • Research on technology and leading competitor's work

As a UX Designer - User-Centered Design
 

  • Produce wireframes for early discussion

  • Produce prototype and animation for testing 

  • Develop and maintain style guide

  • Define interactive behavior, visual spec, and details

  • Produce product video for documentation and marketing purpose

A Comparison of Different Products I've Participated

Challenges
 

Platform product is often considered as client-driven or technology-driven. Neither does people from provider side nor client-side expect a platform product as easy to use as a consumer product. User experience is sometimes underestimated during planning and implementation. Seems like the simplicity of design and complexity of functions can hardly meet in one product. 

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Answering the following questions will help to shape the product definition and point to the right direction of the design:

 

  • Who are the stakeholders? What are their goals respectively? How can we empower our users to achieve their goals? 

  • When designing for enterprise users, how frequently will they use the product? What's user's industrial background? 

  • Ask more questions like "Did user know...?" "Does user need to know...?", don't just build the product based on your own assumptions.

  • When dealing with data, many factors influence how and when we present data to the users:

    • Data scale

    • Priority

    • Accuracy

    • Next step actions

  • Are you trying to build a product or a solution?

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