A typical survey can be 100 respondents, with twenty questions, most of which have six possible answers, and some of which are are open-ended questions. These answers to survey questions represent thousands of pieces of data. Assimilating, interpreting and digesting that vast amount of data can be difficult without the proper analytical tools.

Data on its own means nothing without proper analysis. Thus, you need to make sure that survey analysis produces meaningful results that help make decisions that ultimately improve your business. If you’ve obtained results for closed-ended survey questions, such as responses to scaled and multiple-choice questions, this data will be easy to quantify. If you want to analyze a qualitative survey, the scenario is a bit more complicated.

And our data analytics team are experts at synthesizing the mass amount of data. They do so by categorizing data, creating tables, charts, graphs, and extracting key quotes from the survey. They also build metrics that summarize the data (means, modes, weighted-averages, Net Promoter Score, and much more).