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LLM Playbook

Browse AI features designed to instruct LLMs to carry out specific tasks.
These can be integrated across your apps, tools and data pipelines.

Fintech

Marketplace

Insurance

Legal and Compliance

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Sales

Support

Support Ticket Summarisation

Support Ticket Summarisation

Response Template Generation

Response Template Generation

Ticket Summarisation

Ticket Summarisation

Sentiment Analysis

Sentiment Analysis

Language Detection and Translation

Language Detection and Translation

Response Quality Check

Response Quality Check

Issue Trend Analysis

Issue Trend Analysis

Marketing Analyst

Issue Trend Analysis

This Task automates the process of identifying emerging trends in customer issues to proactively address potential widespread problems. Designed for use by Customer Support Managers, Product Teams, and Quality Assurance departments, the system performs the following functions:

  • Analyses large volumes of customer support tickets and inquiries

  • Identifies recurring themes and emerging patterns in customer issues

  • Quantifies the frequency and severity of identified trends

  • Tracks the evolution of issues over time to detect emerging problems

  • Suggests potential root causes and areas for investigation


It is designed to integrate with existing customer support platforms, ticketing systems, and business intelligence tools. The template can be adapted to address specific trend analysis requirements within an organisation's quality management framework. This customisation allows for tailored improvements in issue identification, prioritisation, and resolution processes.

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Example outputs:

[
  {
    "identified_trends": [
      {
        "trend_name": "Mobile App Crashes After Recent Update",
        "frequency": "30% of all mobile app-related tickets in the past week",
        "severity": "High",
        "affected_areas": [
          "Mobile App v2.5",
          "iOS devices",
          "User Authentication Module"
        ],
        "potential_causes": [
          "Compatibility issues with latest iOS version",
          "Memory leak in new authentication process",
          "Incomplete data migration for certain user accounts"
        ]
      },
      {
        "trend_name": "Billing Confusion on New Subscription Model",
        "frequency": "20% increase in billing-related queries over the past month",
        "severity": "Medium",
        "affected_areas": [
          "Premium Subscription Plan",
          "Billing System",
          "Customer Communication"
        ],
        "potential_causes": [
          "Unclear communication about new pricing structure",
          "Discrepancies in pro-rated billing during transition",
          "Delayed update of billing information in customer portal"
        ]
      }
    ],
    "overall_trend_summary": "Two significant trends have emerged: a critical issue with the mobile app crashing after a recent update, primarily affecting iOS users, and growing confusion around the new subscription billing model. The mobile app issue is causing immediate and widespread user frustration, while the billing confusion is leading to a steady increase in support queries and potential customer dissatisfaction.",
    "recommended_actions": [
      "Immediately investigate and patch the mobile app crash issue, prioritising iOS devices",
      "Conduct a thorough review of the new authentication process in the mobile app",
      "Create and distribute clear, comprehensive documentation on the new subscription model and billing process",
      "Consider offering temporary credits or extensions to affected users as a goodwill gesture",
      "Enhance monitoring and automated testing processes for future mobile app updates"
    ],
    "data_gaps": [
      "Detailed crash logs from a wider sample of affected iOS devices",
      "Customer feedback on clarity of billing communications",
      "Comparative data on subscription model understanding across different customer segments"

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Response Quality Check

Response Quality Check