Most customer feedback platforms on the market organize feedback into categories, by breaking down received feedback into (sub)categories, like personnel - information. This is great, but not enough to know exactly what is going on.
Our AI drills down the categorization even further to the exact root cause of the problem. If certain words are used more often, ISAAC automatically creates a new subsegment for you. This way all the feedback that mentions this topic is automatically linked so you know where to act precisely.
We won't let you waste valuable time trying to figure out what to do. In addition to the multi-level breakdown, you have an overview of top-ranking positive and negative feedback topics. Easy peasy, no more wasting time figuring out trends.
Interested to learn how we get our AI to work so accurately? Learn more here.
“Thanks to ISAAC we can evaluate differences between shops and employees and we can identify what goes wrong. This is an enormous opportunity to achieve more growth.”
Our detailed predictions + your operational data = winning at CX. We will tell you exactly which problem to tackle and your operational data (branch, customer segment, collection, status) allows you to come up with an effective solution.
This powerful combination allows you to make relevant changes in the customer journey without losing time and resources trying to fix things that aren't the problem.
Per industry, users can access relevant filters to highlight areas like digital experiences, customer service, and in-store experience, so you can pinpoint the right experience that needs improvement.
We also equipped our AI with churn alerts. We trained it to recognize when customers are threatening to leave you, or when they require fast follow-up. The urgent category contains everything that needs your immediate attention.
What customers are talking about is important, but how they are feeling is even more relevant. Our AI detects sentiment, including emojis. Happy customers don't leave, so finding out what customers are (un)happy about is of crucial importance.