QDA Miner and WordStat are used by thousands of researchers around the world to analyze all types of text-based documents. Researchers and data analysts in business and academia use the software to analyze reports, social media, customer comments, news articles, open-ended questions, surveys, and much more. Here are some actual text analysis case studies of people using our software that demonstrate how they meet their unique challenges and the benefits they receive.
IMPROVE SERVICE & INCREASE SALES BY CATEGORIZING CUSTOMER COMMENTS
An international financial services and insurance firm with thousands of customers around the world. The company offers insurance and investment products to large and small business and individuals.
IMPROVE SATISFACTION WITH AUTOMATED CUSTOMER VERBATIMS CLASSIFICATION
To speed up the process of classifying hundreds or thousands of responses to open-ended questions that are part of voice-of-customer surveys.
AUTOMATED CLASSIFICATION OF PATIENTS FEEDBACK
To process a large volume of patient comments on forums and blogs, starting with more than 35 million for France alone.
CLASSIFYING AND ANALYZING THOUSANDS OF SURVEY RESPONSES
To quickly organize and manage thousands of text comments to improve efficiency and better understand what customers are saying.