Open-Ended Questions – Respondent Feedback

Open-ended questions in surveys allow respondents to freely express their opinions, providing valuable qualitative insights.
However, analyzing such responses can be time-consuming and complex.

At YourCX, we offer advanced tools for automatic analysis of open-ended customer feedback, making it easier to process large volumes of text data.

Automatic Categorization of Open-Ended Responses

Our solutions use natural language processing (NLP) and artificial intelligence (AI) to identify key topics and sentiments within open responses.
This enables quick understanding of the main trends and customer-reported issues, supporting faster and more informed decision-making.

Sentiment and Emotion Analysis

We also offer sentiment analysis tools that determine whether customer responses are positive, negative, or neutral.
Additionally, we identify emotions expressed in the text, enabling deeper insight into customer experiences and their reactions to your products or services.

Integration with Other Data

Our platform allows you to combine open-ended response analysis with quantitative data, providing a more comprehensive view of customer experience.
This helps you better understand the context behind customer feedback and make more informed business decisions.

Practical Application

An example of effective use of our tools is the automated analysis of customer opinions in the retail sector, which enabled quick identification of key issues and personalized offer targeting.
As a result, it contributed to increased customer satisfaction and loyalty.

 

With YourCX’s advanced analytics tools, analyzing open-ended survey responses becomes faster, more precise, and more actionable—turning qualitative feedback into clear insights.