Theme spikesupport channel · this week
Silent import failures - 28 mentions, up 3×. Tickets say what happens; they can’t say why.
28 tickets · traceablePlan a study from this
Reos for CX & support
Your queue already knows what to fix
Connect your support inbox as a channel and every ticket flows through AI analysis - continuously. Themes surface with counts and trends, every one traceable to the tickets behind it. No tagging project required.
- Silent import failures
- 28 mentionsup 3×
- CSV column-mapping confusion
- 19 mentionsup 2×
- Proration questions at renewal
- 11 mentionssteady
Emerging theme: silent import failures - 28 mentions this month, up 3×
Reos · support inbox - connected as a channel
- Fwd: import finished but dashboard empty?
- Re: can’t find my CSV after upload
- Where did my contacts go after sync?
flowing through DIVE™ continuously · every theme cites its tickets
01Always-on analysis
Connect once. Analyze forever.
Tickets, support emails, call transcripts, chat logs, form answers - one analyzable stream, running through the same validated pipeline as your interviews. Themes you’d have found at the quarterly review, surfaced today.
- No tagging taxonomy to maintainYour customers’ words set the themes, not a dropdown.
- Any scale, same rigorTwo hundred tickets or two hundred thousand - the same validation rules apply, and every theme still cites its sources.
- Trends you can watchMentions counted per theme, per month - you see a problem growing before it becomes a churn report.
- Tickets
- Support emails
- Call transcripts
- Chat logs
- Form answers
themes · support channel - June
- Silent import failuresup 3× this month28 mentions
- CSV column-mapping confusionup 2×19 mentions
- Proration questions at renewalsteady11 mentions
Themes you can count · every theme links to the tickets behind it
02From signal to study
Tickets say what. Interviews say why.
When a theme spikes, you already have everything a study needs: the problem, the evidence, and the exact customers who hit it. One click plans the follow-up - and the AI moderator can run it this week.
- The perfect participant listThe people who wrote in are already your panel - one filter away.
- Depth on demandAI-moderated follow-up interviews dig into the why behind the tickets - in parallel, without booking your week away.
Follow-up study, drafting
participants: the 26 customers who hit it · method: AI-moderated interviews
03Close the loop
Tell the customers who wrote in
When the fix ships, Reos notifies every customer who reported the problem - and keeps watching the channel so you can prove the theme actually went away.
- “You reported this - it’s fixed.”Sent automatically to everyone who raised the issue. The cheapest loyalty program ever built.
- Proof in the queueThe theme’s mention count keeps updating after the fix - a before-and-after you can measure.
- Repeat tickets, deflectedProblems fixed at the theme level stop arriving one ticket at a time.
closing the loop · silent import failures
- Fix shippedfail-loudly import errors · LIN-482 closed
- 26 customers notified“You reported this - it’s fixed.” sent to everyone who wrote in
- Theme trending down28 → 4 mentions · watching the channel
- Follow-up study seeded“Did the fix land?” · 14 booked
fewer repeat tickets · customers who complained become customers who stay
How it fits your queue
From ticket to shipped fix, one loop
The five stages of the loop, starting where your customers already are.
Plan
A spiking theme becomes a study plan in one click.
Recruit
Invite the exact customers who hit the problem - they’re already in the queue.
Conduct
AI-moderated follow-ups dig into what tickets can’t say.
Analyze
Tickets, calls, and interviews flow through one validated pipeline.
Act
Ship the fix - and tell the customers who reported it.
Run your next study in Reos
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