Caplena enables us to systematically prepare and visualize qualitative data. At the same time, the data can be analyzed in more depth through, for example, NPS driver analyses. Creating shareable links also makes sharing results via the dashboard quick and easy.
In the past, text analysis was done manually and took so long that we couldn't effectively analyze all the data. This is why we decided to invest in Caplena’s technology. Now it takes us minutes to run text analysis rather than hours. We are able to automate a lot of our data processing - but also have a level of manual quality control which is exactly what we were looking for.
Since we started using Caplena, revealing insights from open ended customer feedback has become faster and easier. Our team uses Caplena as an insights hub to quickly provide insights to design, product, and sales teams. Using dashboards, we can easily present and share our insights with other teams so that everyone can benefit and take action.
Caplena has been a game changer in how we work with our open ended data. It enables fast, and powerful analysis of big data sets of long hand verbatim. Critically, the machine learning element allows us the flexibility to adapt our coding to emerging data trends, and a level of consistency that manual coding cannot offer. We can now more easily leverage the power and richness of our written response data to deliver empirical and compelling stories to our clients.