AppJetty

  Data is the new oil. No matter how big or small your brand is, intensive market research to collect data is crucial. All the leading brands are already well into collecting data to drive their business actions and decisions.   Take Starbucks, for example, in 2008, Starbucks felt the need to go beyond traditional surveys and suggestion boxes to collect customers’ inputs. Thus, they came up with   My Starbucks Idea   to collect customers’ views on what they want the brand to be like. Since then, Starubucks has been tracking all the inputs and ideas and using them effectively to hit the right chord with the customers. Out of a number of modern ways to collect data, a survey is a “traditional” method that still stands its ground. There are survey plugins like a SuiteCRM/SugarCRM survey plugin or others that have simplified survey creation and data collection for businesses. There is one more thing to consider here. Your unique ideas of data collection may work wonders but raw data isn’t

What’s the great thing about open-ended questions? You get genuine opinions from people as they are not bound to select from the available answer choices. However, the real challenge begins when you have hundreds of responses to review. This type of analysis is called qualitative data analysis. And for most researchers, the least favorite thing. Hence, in this article, we explain a 3-step guide on how you can make sense out of open-ended questions, and make your life easier! Prepare the data and read through the responses With   survey reports,   you can overview the responses of close-ended questions from charts. However, with reports like detailed individual reports, you can gather the response of each and every responder at an individual level. After you have them, start reading. While trying to understand them, make sure to label or categorize them in a way that resonates with you. For example, if the feedback is about not receiving responses of tickers, you can use t