CX intelligence, mined from every conversation

Data Analyst Agent automatically surfaces the topics customers are bringing up most — including patterns you might not have thought to track. You can also define your own topics in plain language (e.g., "conversations about delivery delays" or "mentions of competitor X's pricing") and the AI classifies every conversation against them, including historical ones. The system also suggests new topics as patterns shift, so you get automatic discovery and the focus of tracking exactly what matters to your business.

Every conversation is scored across five factors: issue resolution, agent responsiveness, sentiment trajectory, communication quality, and overall experience. Unlike surveys — which capture only the few who respond — this evaluates every conversation in full. And as your team gives feedback, the scoring calibrates to your standards over time.

Because what works for one-off analysis breaks down at scale. ChatGPT or Claude can analyze a handful of chats — but doing this across thousands of conversations every week means constant exports, re-explaining your business every session, and rebuilding dashboards from scratch. No consistent scoring, no topic tracking over time, no audit trail back to the source chats. Data Analyst Agent plugs into every chat, email, and call your team handles, learns your business once, and scores every conversation the same way — so you get the same intelligence underneath, built into a workflow your team can actually rely on.

Tableau, Looker, PowerBI are great at counting things — sales, conversions, retention. But it can't read a conversation, and it definitely can't pick up the tone shift when a customer hesitates over price. That's the world we work in: the unstructured signal in every chat, email, and call your team handles. Data Analyst Agent surfaces the themes, scores the satisfaction, and builds the dashboards that your BI tool simply wouldn't have data for. Different inputs entirely.