Insights: From Conversation Noise to Evidence-Backed Answers

You Can't Read 10,000 Tickets a Week

Your site goes down during a flash sale. Carts break, out-of-stock items ship, and your support queue hits a vertical line. By Monday, the queue is back to normal. Then the post-mortem invite lands on your calendar, and the first question on the agenda is the one you can't answer: 'Exactly how many customers were affected?'

You try a keyword search, but customers don't use your internal terminology. They don't say "out-of-stock SKU error." They say "the site kept crashing on me," "my cart emptied itself," "I got the wrong item," "half my order was missing." Keywords catch a few, miss most, and you end up clicking through tickets one by one just to get a number you'd actually present to leadership.

The Questions Your Tools Can't Answer

These questions come up every week. The answers are in your helpdesk, buried across thousands of conversations, but your tools aren't built to find them:

• A site migration broke checkout for an hour. How many customers were affected, and how many were resolved by AI versus needing a human?
• Refund requests doubled this week. What's driving that?
• CSAT dropped 3 points this week. Why?

Tags tell you order issues spiked. They don't tell you which ones, or why. Manual review gives you a sample, maybe 50 tickets out of 10,000. The other 9,950 go unread.

How Insights Works

We built Insights to be your go-to analyst. Choose a date range, set filters, hit Run. You can ask a specific question or let Insights find what matters on its own. Here's what happens:

1. Discovery: Multiple passes over every conversation in the window. The first finds obvious themes. Later passes surface the subtler issues buried in 4% of tickets, scattered across phrasings no keyword search would catch.
2. Evidence Extraction: It pulls the receipts. For every pattern, you get verbatim quotes from the customer, the agent, or the AI, with resolution status and satisfaction scores.
3. The Verification Layer: Insights tests every finding against the actual text. If a quote is thin or ambiguous, we cut it. Most AI tools skip this; we don’t.
4. The Report: Verified findings organized by theme, ranked by frequency, and tagged by severity with the ability to deep dive and ask additional questions.

In a recent live demo, we ran Insights on a month of a brand's data. The top finding matched the exact issue their Head of CX was presenting to leadership later that day. They'd spent weeks building the case. Insights surfaced the same answer, with evidence, before the demo ended.

Click Any Finding, See the Proof

When a stakeholder asks, "Are we sure this is actually a trend?", you don’t have to scramble.

Click any finding and the evidence panel opens: exact words the customer used, how the agent responded, the satisfaction score, and a link to the full thread.

When you can point to 40 customers describing the same glitch in their own words, that ends the debate.

Run It Every Week

Insights is your go-to for incident response when you need a count fast. But the bigger value is running it on a schedule. Set a weekly cadence and Insights run automatically against fresh data.

If CSAT dips, the next report shows you why with conversations to back it up. Over time, you build a record: not just what went wrong, but exactly what you fixed and the proof that it actually worked.

Every report is saved and comparable. You can ask follow-up questions against any report's data ("how many were resolved by AI versus escalated?") and the analysis threads below, building a chain of investigation without starting over.

Try It This Week

• On Applied: open Analytics → Insights, run a report on the last seven days, and see what it finds. Most teams surface at least one issue they knew about but couldn't quantify.
• Not on Applied? Book a demo and we'll run it on your data.