We were ahead of the game in developing our own technology for mobile data collection.
We started developing a platform for mobile data collection in 1994 for the Apple Newton. Over the past 20 something years, this system has evolved into one of the most sophisticated mobile data collection capabilities in existence.
Almost as soon as it became possible, we expanded the use of this technology to the internet and we use it for all of our online data collection today.
We use this system exclusively ourselves. We do not license the technology to anyone else.
The philosophy behind the development of this system is that we did not want technological limitations to get in the way of good data collection (something that does happen with simple systems like Survey Monkey). We still stick firmly to this philosophy today. The needs of good research design drive the implementation of this system, not the other way around. Because the system is ours, we have the ultimate in flexibility and there is almost nothing we cannot do in terms of designing and presenting questions to consumers online and via mobile.
We have also developed our own proprietary statistical analysis routines for analyzing the kinds of data that we commonly collect. Most statistics that are used commercially today are parametric statistics. They are based on seldom-met assumptions about the form of the data that are collected. We use the general class of statistical methods known as robust methods – they are robust because they don’t depend on these strong assumptions about the underlying data. What this means is that when we give you an answer, it is more likely to be right than when it is based on methods that violate the assumptions of the data on which they are based.