Why Explicit Responses Aren’t Enough in Today’s Research

December 2, 2019 by Jessica Leigh Brown

We live in the age of big data. It’s a fast-moving, ever-growing ocean of information that can easily overwhelm those who are leading research projects. How do you gain access to the highest quality of data? And once you have it, what will you do with it?

Researchers are well aware that data itself carries no value. Insights spring from the questions you bring to the table. For a survey designer, defining the optimal questions to ask has become the first step toward innovative research.

And today, many researchers realize that participants’ social and cognitive biases greatly impact results—because explicit responses do not represent the whole picture.

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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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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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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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