The interaction evidence
Permitted recordings or transcripts, timestamps, contact reasons, and relevant metadata. We agree what information can be accessed and which interactions are excluded before analysis begins.
Compliance insight & complaint review
Find complaint signals that routine reviews can miss.
A customer may describe a serious issue without using your complaint categories. For quality, compliance, and operations leaders, CXDisco helps surface potential complaint and policy-related signals in available conversations so qualified reviewers can investigate. The aim is a clearer path from interaction evidence to an accountable review and response, with uncertainty visible at every step.
RECOGNIZE THE PATTERN
Does this sound
familiar?
- Complaint volumes depend on individual dispositions, even when customers describe similar issues in different language.
- Reviewers spend time searching for context across conversations and case records before they can assess an issue.
- Repeated dissatisfaction reaches multiple teams, but there is no consistent way to connect the pattern to an owner and response.
START WITH THE EVIDENCE
The data that brings
the picture together.
Your review definitions
Approved complaint categories, internal policy criteria, escalation rules, and reviewed examples. Your qualified internal team determines the applicable obligations and how these definitions should be interpreted.
The handling record
Complaint or case identifiers, review decisions, routing events, status changes, and closure evidence where available. Record linkage and access requirements are confirmed during scoping rather than assumed.
HOW CXDISCO HELPS
A focused path from
question to improvement.
Agree the signals to investigate
Start with a defined issue and representative examples. Distinguish a potential signal, a reviewer-confirmed complaint, and any further determination your internal process requires.
Review findings in context
Use interaction analytics to identify candidate conversations and recurring themes. Validate the surrounding exchange and relevant case history before deciding how a flagged item should be classified.
Strengthen the response workflow
Map how reviewed issues reach an accountable owner, what evidence accompanies them, and how follow-up is recorded. Prioritize gaps that cause duplicated work, missed context, or unresolved customer concerns.
Measure coverage and handling
Track validated findings, missed signals discovered through sampling, routing, and resolution. Revisit the evaluation approach as policies and customer language change; keep review decisions separate from automated suggestions.
DEFINE SUCCESS BEFORE YOU START
Measure what actually changes.
- Confirmed finding rate
- Flagged interactions confirmed by qualified reviewers, segmented by issue type; a higher flag count alone is not a success measure.
- Missed-signal checks
- Potential issues found in a reviewed sample of unflagged interactions, with the sample and its limits documented.
- Time to reviewed action
- Elapsed time between an observable signal and the appropriate documented review or handling step.
- Issue recurrence
- Repeated confirmed themes or related customer contacts after corrective action, within a defined population and observation window.
Analytics supports investigation and does not establish a legal conclusion, guarantee compliance, or replace qualified review. No certification, regulator approval, or complete detection coverage is claimed.
ILLUSTRATIVE WORKFLOW · NOT A CUSTOMER STORY
Illustrative assessment: complaints without a label
Starting problem
Customers describe the same unresolved experience using different phrases, while only some contacts receive a complaint disposition. This hypothetical example does not represent a customer result.
Possible intervention
Agree a review definition, examine candidate conversations and a sample of unflagged interactions, then test a clearer route from confirmed findings to the responsible team.
Measurement plan
Set review and follow-up periods in advance. Compare classification agreement, missed signals in the sample, time to reviewed action, and recurrence; disclose sampling and linkage limitations.
BEFORE WE TALK
Your next questions, answered.
Will every flagged conversation be a complaint?
No. A flag is a prompt to investigate. Context and your approved definitions determine the reviewed classification. False positives and missed signals should both be examined when assessing usefulness.
Can analytics determine whether we are compliant?
It can provide evidence for your review process. Your qualified legal and compliance teams determine the relevant requirements and conclusions; an analytics output is not a compliance determination.
What happens to sensitive interaction data?
Data access, permitted uses, retention, and handling requirements must be agreed before an engagement. Do not submit recordings, customer details, or regulated information through the initial website inquiry form.
ONE PROBLEM. A PRACTICAL NEXT STEP.
Assess our complaint visibility.
Tell us about your current environment and the outcome you want to improve. We’ll discuss the evidence available and what a focused assessment could cover.
Submitting this form requests a conversation about scope. It does not commit you to an engagement.