As part of the NPS survey, customers give feedback and improvement suggestions. Ruukki’s challenge has been to analyze and draw conclusions from this vast amount of data in different languages. It took hours of work from their research partner’s analysts to prepare summaries in previous years. This time around, Rukki wanted to test what modern AI tools could do with their feedback data.

The task given to the Vincit team was to use generative AI to translate the data into English and get answers to three questions: 

• what are Ruukki’s top 3 strengths?
• what are the top 3 topics that customers refer to as improvement areas?
• what are the possible recommendations for improvement actions?

In addition, the data needed to be handled in a safe and secure manner using Azure OpenAI API in an isolated environment where no third party could access the information. 

Vincit performed the work during a 2-week hackathon as a proof of concept to show how generative AI can accurately and usefully translate and summarize a large amount of information.

Saving time by making data easy to digest 

Generative AI translates and summarizes the NPS survey data to answer three key questions for Ruukki – saving a lot of manual work. 

Helping Ruukki to offer a better customer experience

With easy-to-analyze results from the NPS survey, Ruukki can better understand customer needs and where to focus their efforts on further improving their products and services.