System bug
4 signals
Checkout freezes after applying a discount code
“Tried twice with the code, the page just hangs. I gave up and will order later.”
What your customers told Fin
Fin handled 50 conversations. CueLens flagged 14 for your team.
Three problems keep coming back, and three customers asked about buying more before the chat closed. Here's what CueLens found in your last 50 closed Fin conversations.
50
conversations analyzed
14 · 28%
conversations flagged for your team
3
recurring problems (clusters)
3
buying signals Fin let go
Signals by lens
17 signals in total. Each lens is one kind of cue, and a conversation can carry more than one.
System bugs
6
Product gaps
5
Business opportunities
3
Unsatisfied customers
3
The problems that keep coming back
Related signals grouped into clusters, most frequent first.
Business opportunity3 signals
Questions about team and annual plans
“We would need about 40 seats. Does the price change at that volume?”
Product gap3 signals
CSV export stops at 10,000 rows
“The export cuts off halfway. Is there a way to get the full list?”
Moments worth a second look
What the customer said, and what Fin did.
Business opportunity
“We are comparing a few vendors this week. Can someone walk us through annual pricing?”
Fin: linked the pricing FAQ and closed the chat.
Unsatisfied customer
“Never mind, I will figure out something else.”
Fin: marked the conversation as resolved.
System bug
“The reset email never arrives, I have tried three times.”
Fin: suggested checking the spam folder.
This was a snapshot of 50 conversations.
With ongoing analysis, CueLens reads every new Fin conversation as it closes, flags buying signals while the customer is still around, and tracks which problems are growing.