Sales and customer understanding

See where recurring customer issues need a closer review.

AutoQC offers case-level analysis of recorded support conversations. Follow the issue, response and escalation across contacts, and compare what the customer says with available closure evidence to identify cases that deserve closer review.

Scope a repeat-contact review

When a closed ticket still produces another call

Your dashboard shows closure, but the customer calls again about the same problem. Complaint teams need to inspect the sequence: what was promised, which handoff occurred, what changed and whether the available evidence supports the recorded resolution.

Start with your workflow

The inputs that make the analysis useful

Case-linked interactions

Recordings or transcripts with dates, interaction IDs and an authoritative customer or case key. Identify known gaps in the history.

Policy and outcome records

Complaint definitions, escalation rules and the review window. Ticket statuses, reopening events and closure evidence support comparisons when available.

Match the issue before counting repetition

Separate another contact about an unresolved delivery from an unrelated question by the same customer. Define issue matching and the time window before producing repeat-contact summaries. A second call can be a planned update or a new request; repetition alone does not establish poor service.

Trace the response and the handoff

Review the customer-stated problem, the action each agent offered and the next contact in the sequence. Identify repeated requests for the same information, changed instructions and commitments whose completion is unclear. Source conversations let supervisors inspect a handoff gap without relying on a detached case summary.

Apply your complaint and escalation policy

Define the distinction between dissatisfaction, a formal complaint and a condition requiring escalation. Assess the recorded handling against the relevant rule and show uncertain cases for review. Severity and required action should come from your policy, rather than from the strength of a customer’s language alone.

Compare closure with the customer’s account

Where ticket records are supplied, put closure and reopening events alongside later customer statements. A customer saying the issue persists after closure creates a discrepancy to investigate. It does not by itself identify the operational cause, and an agent promising escalation does not confirm that escalation took place.

Turn case findings into a review queue

Scope a summary of repeated issues, incomplete commitments and escalation checks so managers can choose which cases to inspect. Preserve partial-history indicators and distinguish conversation evidence from outcome records. Validate representative case sequences with your team before using aggregate resolution measures or setting operational priorities.

Illustrative example

A fictional delivery complaint returns after closure

A fictional delivery complaint returns after closure
SourceAvailable evidenceCase review
Monday ticket eventCase marked closed.Closure status recorded.
Wednesday callCustomer says package has not arrived.Stated issue conflicts with closure.
Wednesday agent responseAgent promises escalation.Escalation completion unconfirmed.

Fictional illustration. The discrepancy warrants review; it is not proof of a delivery failure’s root cause.

Define the case view your team needs

We scope complaint checks, timeline fields and review priorities using your policies. Case matching, ticket joins and tailored summaries can require custom work. Any resolution metric needs an agreed window, denominator and adequate outcome coverage.

Questions about this workflow

Does dissatisfaction always count as a complaint?

No. Apply your definition and keep uncertain or informal expressions distinct from formal complaints.

Can this measure first-contact resolution?

That requires a defined observation window, issue matching and sufficient outcome evidence. We agree those requirements before including the metric.

Related use cases

01 / Process and conversation quality

Relationship-level conversation auditing

One agent requests a document, another promises a follow-up and a third gives a different instruction. Each call can look reasonable on its own while the customer remains stuck. Journey owners need the sequence to judge whether required steps actually moved forward.

Explore this use case: Relationship-level conversation auditing
02 / Sales and customer understanding

Voice of customer analysis from conversations

Support calls, onboarding discussions and customer follow-ups contain requests that never reach a survey. Your CX or product team needs to see which concerns recur, what customers actually mean and where a closer investigation would be useful.

Explore this use case: Voice of customer analysis from conversations
03 / Process and conversation quality

Call auditing against your SOP

Your agents serve different call types, products and customer situations. A disclosure may be mandatory in one conversation and irrelevant in another. You need an audit that follows those distinctions and gives supervisors a clear reason to inspect a call.

Explore this use case: Call auditing against your SOP

Make repeat contacts easier to investigate

Describe the recurring issues your team wants to review and the case records available. We will define a case analysis that connects customer statements, handling decisions and outcome evidence.

Scope a repeat-contact review