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Complaint Escalation Monitoring Playbook

Detects high-severity complaints, legal risk language, and escalation triggers in conversations. Supports proactive intervention and compliance oversight.

QA & Compliance3 kits · 9 bricks

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Deploy this kit stack into your workspace. Customize bricks, scoring, and outputs to match your team.

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Without this playbook

Most teams handle complaint escalation monitoring through scattered call reviews, manager opinion, and isolated examples. Without a shared operational definition, the signals stay inconsistent and difficult to act on across volume.

With this playbook

A shared, repeatable lens for complaint escalation monitoring - with structured outputs you can route into coaching, reporting, and workflow automation. Every conversation produces evidence, not just opinions.

Built for

QA managers, compliance officers, and operations leads

When teams use it

  • Automated QA scoring at full coverage
  • Compliance audit preparation
  • Exception and escalation routing

The operational stack

3 kits behind this playbook

Not all complaints are equal, and the ones that matter most are the ones that get buried. This stack separates complaint severity to prioritise the most urgent cases, legal and risk language detection to catch potential exposure before it escalates, and resolution tracking to determine whether the conversation actually resolved the issue or trapped it in a loop. Compliance teams get structured triage instead of relying on agents to self-report the conversations that went badly.

Escalation Severity Kit

3 bricks

Detects complaint severity and escalation triggers.

Included bricks

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Severity Language Present

Boolean

Detects whether language conveying the severity or urgency of an issue is explicitly present - words signalling significant negative impact, escalation, or critical consequence.

Risk Context Type

Category

Classifies the primary type of risk discussed in the conversation - legal, operational, financial, commercial, or other.

Severity Score Score

Score

Scores overall compliance severity as a composite, determined by the most severe individual issue present.

Legal/Risk Mention Kit

3 bricks

Flags legal or risk phrases in conversations.

Included bricks

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Risk Or Legal Phrase Present

Boolean

Detects whether any language referencing legal exposure, legal process, or risk is explicitly present in the conversation.

Risk Language State

Category

Classifies the presence and coverage of risk or legal language in the conversation. Note: category_values reflect presence/coverage, not risk type - see risk_context_type_v1_explained for type classification.

Severity Rating Score

Score

Scores the severity of risk-related statements made in the conversation.

Resolution Alert Kit

3 bricks

Detects whether escalation or complaint is resolved or trapped.

Included bricks

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Issue Unresolved Present

Boolean

Detects whether an issue remained unresolved at the end of the conversation without an accepted follow-up commitment.

Resolution Signal Present

Boolean

Detects whether both parties explicitly confirm that the issue has been resolved.

Resolution Quality Score

Score

Scores the overall quality of the resolution provided, across clarity, specificity, confirmation, and follow-up commitment.

Knowledge base

Supporting materials

The kits in this playbook work best when backed by reference materials that ground the evaluation. Upload these into your workspace knowledge base to improve accuracy and relevance.

Learn more about Knowledge Bases

Complaint severity classification criteria

Legal risk language lists and regulatory red flags

Escalation procedures and resolution authority documentation

Regulatory reporting requirements for complaints

Complaint resolution SLA documentation and tracking requirements

Structured output

What you get back

Every conversation processed through this stack produces a structured JSON object. Each brick contributes a typed field - booleans, scores, categories, or string lists - that you can route, aggregate, and report on.

Example output shape

{
  "severity_language_present": true,
  "risk_context_type": "Strong",
  "severity_score_score": 7,
  "risk_or_legal_phrase_present": true,
  "risk_language_state": "Strong",
  "severity_rating_score": 7,
  "issue_unresolved_present": true,
  "resolution_signal_present": true,
  "resolution_quality_score": 7
}

In practice

How teams use these outputs

The structured outputs from this stack integrate into your existing workflows. Use them wherever you need repeatable, evidence-based signal from conversations.

Automated QA scoring at full coverage

Compliance audit preparation

Exception and escalation routing

Agent performance reporting

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Deploy this playbook in your workspace

Customizing creates a workspace-owned draft with this playbook's full kit stack. Adjust bricks, scoring, and outputs to fit your team, then publish when ready.

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