Case Study: Turku University of Applied Sciences
Turku University of Applied Sciences has been working with Webropol since 2014. They have found Webropol’s versatile offering to be both functional and cost-effective, with the AI Text Analysis module adding significant value.
As one of the largest universities of applied sciences in Finland, Turku University of Applied Sciences serves a community of 13,000 students. The university trains highly skilled professionals for the economic and cultural life of Southwest Finland and carries out impactful research and development activities.
Webropol as Part of Everyday Life for Staff and Students
Turku University of Applied Sciences has been making extensive use of the Webropol platform for many years. Staff regularly use the following features:
- Survey & Reporting
- Event Management
- Scored student eTests
- WOTT feedback devices
- Case Management
- AI Text Analysis for open feedback analysis
Students also have access to the Webropol environment. “Students use Webropol, for example, when working on their theses – it’s a very useful tool for this purpose,” says Satu Helmi, Specialist in Operations Management at Turku University of Applied Sciences. Satu is the main user of the Webropol application at the university and brings over 20 years of experience with Webropol solutions.
Deeper Understanding of Feedback with AI Text Analysis
Webropol’s AI Text Analysis is an AI-powered feature that enables fast and efficient analysis of open-ended responses. It helps users quickly understand and explore feedback, revealing emerging themes and emotional tones.
The tool includes a professionally designed dashboard. The default view features an AI-generated summary and predefined metrics, while users can also customise their dashboard with metrics relevant to their needs.
At Turku University of Applied Sciences, AI Text Analysis has been used in several ways:
- Comparing feedback by, for example, organisational structure
- Analysing and filtering responses based on emerging themes and associated emotions
- Speeding up the analysis and publication of open feedback
- Processing open feedback collected from other systems
“I’m glad that AI Text Analysis was adopted very quickly here at Turku University of Applied Sciences – it has saved us a huge amount of time and effort in processing and analysing feedback,” Satu summarises.
Collaboration with Webropol
Webropol continuously invests in product development in close cooperation with its customers. Satu Helmi and Turku University of Applied Sciences have actively contributed to the piloting and development of the AI Text Analysis feature, helping to ensure the solution reflects real customer needs.
“It has been great to see that our input is paying off and the system is constantly evolving. We’ve had ongoing dialogue with the product development team, and our feedback is genuinely valued.”
Satu Helmi – Specialist in Operations Management at Turku University of Applied Sciences
Interested to learn more about AI Text Analysis or other Webropol solutions? Contact us to discuss the possibilities Webropol offers!