Fixed questions stop too soon
A static survey cannot ask why the fix failed, what the customer tried next, or what is now blocked.
AI post-support interviews for manufacturers
Find out what happened after the ticket closed.
SurveyConvo lets you create Convo Agents—AI interviewers that conduct short, voice-first interviews after complex support cases, ask the next useful question, and turn each customer’s explanation into evidence and a recommended next step.
Case #1842
Pairing issue after firmware update
JJaneAI feedback interviewer
Is the product now working the way you expected?
It worked after the reset, but the connection dropped again this morning.
What happens when you try to reconnect it?
Unresolved issue detectedRecommended: reopen case and review recurring pairing failure
The problem with static surveys
CSAT scores rarely explain the outcome.
A fixed survey asks every customer the same questions and stops when useful context is still missing. One score or comment may not tell you whether the fix held, what failed again, or what help the customer still needs.
A score hides the resolution gap
CSAT can look acceptable even when the product still fails or the customer has given up on support.
Short comments lack context
“Still not working” does not explain when the issue returned, how often it happens, or what would restore confidence.
Patterns stay buried in cases
Unstructured responses make recurring product, documentation, repair, and handoff problems harder to recognize.
How SurveyConvo solves it
A Convo Agent asks the next useful question.
Select the cases worth understanding, send customers a link from the tools you already use, and let the AI interviewer conduct the conversation. Voice comes first, text remains available, and each answer shapes what the agent asks next.
01
Choose the right cases
Select the recently closed support cases where the real outcome matters.
02
Invite the customer
Use your helpdesk, email, or automation tool to send a branded invitation.
03
Let the agent interview
Customers speak naturally or type while the Convo Agent asks for the missing context.
04
Review and act
See the recording, transcript, findings, and recommended next action.
A better way to respond
Let customers explain the issue in their own words.
Customers can speak or type instead of working through another fixed questionnaire. Your named Convo Agent stays focused on the interview goal, asks for missing detail, and clearly identifies itself as AI.
J“Talk with Jane, Acme’s AI feedback interviewer—about 3 minutes.”Example invitation language. The name and interview setup are yours to configure.
The benefit
Know which cases need recovery—and which patterns need fixing.
Every completed interview keeps the original voice and transcript, then organizes the evidence into a summary, resolution status, customer impact, and recommended next action.
Why act now
The cost of an unresolved case does not stop when the ticket closes.
When the real outcome stays hidden, support loses the chance to recover the case and other teams lose evidence they could use to improve the product and service experience.
Recover the case sooner
Give support the context to help before frustration turns into another contact, a return, or abandonment.
Find avoidable repeat work
See which gaps in the fix, instructions, or handoff are sending customers back to support.
Bring evidence upstream
Show product, documentation, repair, and service teams what customers actually encountered.
How to get started
Start with one recurring support issue.
Choose one case type and invite 10–25 recently closed customers. Configure one Convo Agent around that moment, review what the conversations reveal, and expand when the signal proves useful.
One recurring support issue
One focused Convo Agent interview
10–25 customer invitations
Replace the post-support survey
Book a focused demo