Discover hidden insights in customer feedback and complex qualitative data. SUMMETIX uses proprietary Argument Mining and large language models to discover patterns and trends that will change your business.
In the first step, customer feedback is reduced to the core information, i.e. meaningful statements about specific error patterns, but also the strengths of a product.
In the next step, similar groups of such statements are combined into clusters containing repeatedly mentioned product problems and strengths.
Correlate – Which anomalies arise?
Clusters are correlated with customer feedback metadata like a production date, a product line, or sales market.
Quantify – How much does this issue cost?
Instead of NPS, we use calculate non-recommendations and resulting churn to help you prepare specific actions for product development and improvement.
Explore – What can I learn from the results?
We use the power of generative AI to answer any other questions you might have, based only on true feedback which can be traced back.
Complete the form to gain a perspective on the SUMMETIX platform. We will demonstrate how Summetix can be utilized to enhance and innovate your Customer and Product Experiences throughout your organization.
