A typical survey can be 100 respondents, with twenty questions, all of which have six possible answers or are open-ended questions. All of this represents thousands of pieces of data and can confuse about what to do next.ter Score, and much more).
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).