Jian Huang is the Chief Executive Officer at Survature providing the vision for reinventing the way the world experiences surveys. He is a professor of computer science at the University of Tennessee (UT) researching data analysis, visualization, and human-computer interaction. His research has received funding from the National Science Foundation, the US Department of Energy, the US Department of Interior, Intel, NASA, and UT-Battelle. Jian received his PhD from the Ohio State University.


Recent Posts

Want to know what World Cup fans really think? Use these 3 lessons we’ve learned from running 50,000+ person surveys.

July 16, 2018 by Dr. Jian Huang

The World Cup has come and gone. There’s no doubt that throughout the last several weeks   companies all over the world have been capturing as much data as they can to better understand soccer fans. Knowing the real reasons behind people’s decisions can serve many business needs. Solid data about what fans truly think is a starting point that fundamentally affects the clarity, precision, and confidence of your strategic initiatives. We’ve helped many organizations get solid data from tens of thousands of people. We’ve learned a few things we want to share from this experience.

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4 things that can make or break your data analytics presentation

January 15, 2018 by Dr. Jian Huang

How to present data analytics effectively has been a popular topic during Survature user workshops. Typically the question goes something like, “We’ve got so many findings here, any suggestion on how to present them?” While users and their specific cases for presenting results may vary, there are some things everyone should watch out for and consider when presenting your survey findings. Here are four things we have found that can make or break your presentation.

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Connect the dots to see the real picture hiding in feedback

April 25, 2017 by Dr. Jian Huang

So, there is a lot of data at our disposal these days. Lots of it. And along with all this data often comes the feelings of “I am not getting what I need from the data” or “it’s just a lot of wasted time and effort”.

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Using data + psychology to unlock people’s true opinions

April 13, 2017 by Dr. Jian Huang

Good feedback, a willingness to understand, a desire to improve … These altogether lead to meaningful actions and positive changes.

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3 costly misconceptions about hiring data talent

March 1, 2017 by Dr. Jian Huang

Data jobs are “the sexiest jobs this century”. Data jobs are also among the hardest to positions to fill. The qualifications are so high that candidates have the leverage to “name their own price.”

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Why is a data-enabled business better, and how do you build one?

January 17, 2017 by Dr. Jian Huang

Deep learning was prominent in the venture capital world of 2016 and rightfully so. This wave of excitement about AI and computing grew strong, because of a new-found comfort on letting unprecedented rich data guide progress. Interestingly, the term “deep learning” draws another contrast, that is, previous generations of machine learning lacked support of real data — in other words they were “shallow”.

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Overwhelmed by Feedback Data? 4 Data Points May be All You Need.

December 20, 2016 by Dr. Jian Huang

Making heads or tails from all the available data can be like drinking from a firehose. Simply overwhelming. Fortunately, there is a way to deal with this dilemma. As simple as it sounds – you need to narrow your focus on the things that truly matter. Doing so may only require as few as 4 data points. There are plenty of interesting examples to look at.

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When did ‘innovation' become a 4-letter word?

December 1, 2016 by Dr. Jian Huang

Hard to believe the holiday season is already upon us … Time once again to race towards a strong Q4 finish and prepare for a new year …

Here at Survature we run this race but are also uniquely positioned to watch others do the same. As a founder of a software startup, part of my job (and joy) entails talking to users and helping them to envision and manage their feedback data cycle. Through that process, many users have become friends of ours. A recent conversation really resonated with me. The reason – my friend leads innovation efforts at a multi-billion dollar company, his work makes a big impact on their global business, he is respected throughout the company, just architected a $100M partnership through a business model innovation, … yet he feels “innovation” has become a bad word.

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Paralysis by Analysis is Killing Strategic Initiative

November 16, 2016 by Dr. Jian Huang

Strategy is a big word. Every decision maker faces the task of developing and deploying strategic initiatives many times throughout the year. Whether it is the C-suite, VPs with profit and loss responsibilities, Directors in charge of initiatives, and Managers leading front-line operations, everyone is looking for better information that will help drive strategic decisions.

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Building a strong data analytics pipeline. What should you outsource?

October 18, 2016 by Dr. Jian Huang

Much of the modern economy runs on fuel. Much of the future economy will run on data. In this analogy, data is the oil and analytics is the gasoline. Given this data economy, how do you build a strong data analytics pipeline of your own? Should you build your own refinery or should you buy gasoline direct? Simply put, does it make sense to outsource or not?

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