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.
SUMMETIX takes massive amount of text and condense this into key statements. Customer feedback (or other input text) is reduced to key information, i.e. meaningful statements about specific error patterns, but also product strengths and weaknesses.
These statements are sorted in similar groups where each group represent a similar argument. These groups of arguments are then combined into clusters, which are visualised in the SUMMETIX dashboard. In the example of product reviews, clusters contain 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.
Act before it happens
When events happen that impact a company, analysts often comment that the company ‘should have seen it coming’. This applies to both challenges and opportunities.
With SUMMETIX, the tool detects patterns and anomalies in your data sources – leading to early detection of negative and positive trends.
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.
