Specific sentiment signals from 100% of your cases — without more surveys.
Automatic, AI-based sentiment monitoring that captures 100% of your cases. Everything you wish your surveys would tell you, without having to ask your customers.
Surface Friction Today and Tomorrow
Prioritize high-effort CX issues
New release shaking things up? Confusing new pricing model? Pinpoint today's biggest customer effort drains and prioritize solutions.
What's getting harder? What's getting easier?
Always keep your finger on the pulse of what's giving your customers headaches. Never work toward dated priorities.
Sentiment Reporting that Speaks your Company's Language
Less talk, more action
Bring quantitative data to meetings with your counterparts backed by an endless supply of curated verbatims they'll ask for.
Report and track satisfaction levels by business area
Rapidly identify areas of improvement, from your triage process to your product roadmap and your billing department.
Multiple variables combining natural language, operational factors, and time reconcile what customers find hard with what costs them the most time.
Reduce survey fatigue
Measuring customer effort directly means your customers don't have to fill out surveys as often. And you're trying to make things easier, right?
No more blind spots
No news isn’t always good news. Get a high-resolution picture of customer sentiment at all times, from every customer your team interacts with. And no more guesswork about why your customers feel a certain way.
The context you need without the headaches
Analyzing organic feedback gives you a ringside seat to your daily CX. It’s like opening the floodgates, without the flood and without drowning in manual effort. Natural language AI does the heavy-lifting and makes it easy for you to spot the important stuff.
Explain sentiment metrics with confidence
No more scrambling to explain why your CSAT changed. Tell the story of how your team improved customer experience and quantify the business impact with more confidence than ever before.