The Claude Connected App in Rippit is the standout for us. Instead of exporting CSVs or waiting on a dashboard refresh, we can go from a support-data question to an answer directly inside Claude — using Rippit's own discovery tools (list data sources, describe tables and columns) before running anything heavier. That's let us build a small library of repeatable workflows on top of our ticket data: a weighted AutoQA scoring model across our QA classifiers, a bot-vs-human analysis that shows us exactly where our chatbot hands off and why, an escalation-risk scan that flags tickets before they become bigger problems, and a weekly digest that turns raw tickets into a ranked bug list and feature-request list for our product team. Work that used to mean manually combing through tickets is now something we can just run.

Rippit helps me dig deeper into conversations, beyond the surface, so I can uncover meaningful insights in less time.

I run customer support operations for two product lines essentially on my own, with a BPO vendor handling front-line volume. Rippit is what makes that math work. The thing I reach for constantly is its ability to take a raw slice of Zendesk tickets and let me actually interrogate it — tag themes, score sentiment, flag reopens, extract the "why" behind a spike — without me hand-reading hundreds of tickets. It reads the full conversation, not just a subject line, so the categorization holds up. What used to be a day of manual tagging is now a worksheet and a few enrichment columns. It's also become my single window into customer calls. Being able to pull Gong transcripts, summaries, and sentiment through Rippit means I can prep for onboarding and strategy calls, or understand what actually happened on one, without living in yet another tool. Tickets and calls in one place is a big deal when you're a team of one.