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Analyzing support ticket patterns and trends

Agents

Internal agent

Categories

Generating reports

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Description

Analyzing support ticket patterns manually is exhausting - you need to export data, categorize tickets, spot trends, and compile insights. By the time you're done, the data is already stale. This makes it hard to proactively address issues or spot emerging problems before they escalate.

You can use the Parahelp Internal agent to analyze ticket patterns by describing what you're looking for - bug reports, feature requests, churn reasons, or any other category.

The Parahelp Internal agent automatically researches tickets matching your criteria, reads representative samples, identifies patterns, and syncs findings with Linear - giving you actionable insights without the manual work.

Example

Configuration

Tools

Research support tickets

Parahelp

Deep research support tickets.

List ticket data in period

Parahelp

Get ticket metrics for a time window.

List issues

Linear

Search and list Linear issues.

Create issue

Linear

Create new issue.

Update issue

Linear

Update existing issue.

Simulation

  1. Team action: Slack - Submit query ("@Parahelp analyze all cancellation tickets from the past month for Enterprise customers to identify churn patterns")

  2. Agent action: Parahelp - Listed ticket data in period (last 30 days)

  3. Agent action: Parahelp - Researched support tickets ("cancellation Enterprise" - 47 results)

  4. Agent action: Parahelp - Read support tickets (18 tickets)

  5. Agent action: Linear - Listed issues ("churn" - existing issues)

  6. Agent action: Linear - Created issue ("Enterprise churn pattern: Missing SSO support - 8 mentions")

  7. Agent action: Linear - Updated issue ("API rate limits" - added 6 new Enterprise churn references)

  8. Agent action: Parahelp - Send status message ("I identified 4 churn patterns for Enterprise customers: Missing SSO support (8 mentions), API rate limits (6 mentions), lack of audit logs (4 mentions), and missing custom integrations (3 mentions). I've synced these with Linear.")

Example

Configuration

Tools

Research support tickets

Parahelp

Deep research support tickets.

List ticket data in period

Parahelp

Get ticket metrics for a time window.

List issues

Linear

Search and list Linear issues.

Create issue

Linear

Create new issue.

Update issue

Linear

Update existing issue.

Simulation

  1. Team action: Slack - Submit query ("@Parahelp analyze all cancellation tickets from the past month for Enterprise customers to identify churn patterns")

  2. Agent action: Parahelp - Listed ticket data in period (last 30 days)

  3. Agent action: Parahelp - Researched support tickets ("cancellation Enterprise" - 47 results)

  4. Agent action: Parahelp - Read support tickets (18 tickets)

  5. Agent action: Linear - Listed issues ("churn" - existing issues)

  6. Agent action: Linear - Created issue ("Enterprise churn pattern: Missing SSO support - 8 mentions")

  7. Agent action: Linear - Updated issue ("API rate limits" - added 6 new Enterprise churn references)

  8. Agent action: Parahelp - Send status message ("I identified 4 churn patterns for Enterprise customers: Missing SSO support (8 mentions), API rate limits (6 mentions), lack of audit logs (4 mentions), and missing custom integrations (3 mentions). I've synced these with Linear.")

Example

Configuration

Tools

Research support tickets

Parahelp

Deep research support tickets.

List ticket data in period

Parahelp

Get ticket metrics for a time window.

List issues

Linear

Search and list Linear issues.

Create issue

Linear

Create new issue.

Update issue

Linear

Update existing issue.

Simulation

  1. Team action: Slack - Submit query ("@Parahelp analyze all cancellation tickets from the past month for Enterprise customers to identify churn patterns")

  2. Agent action: Parahelp - Listed ticket data in period (last 30 days)

  3. Agent action: Parahelp - Researched support tickets ("cancellation Enterprise" - 47 results)

  4. Agent action: Parahelp - Read support tickets (18 tickets)

  5. Agent action: Linear - Listed issues ("churn" - existing issues)

  6. Agent action: Linear - Created issue ("Enterprise churn pattern: Missing SSO support - 8 mentions")

  7. Agent action: Linear - Updated issue ("API rate limits" - added 6 new Enterprise churn references)

  8. Agent action: Parahelp - Send status message ("I identified 4 churn patterns for Enterprise customers: Missing SSO support (8 mentions), API rate limits (6 mentions), lack of audit logs (4 mentions), and missing custom integrations (3 mentions). I've synced these with Linear.")

Example

Configuration

Tools

Research support tickets

Parahelp

Deep research support tickets.

List ticket data in period

Parahelp

Get ticket metrics for a time window.

List issues

Linear

Search and list Linear issues.

Create issue

Linear

Create new issue.

Update issue

Linear

Update existing issue.

Simulation

  1. Team action: Slack - Submit query ("@Parahelp analyze all cancellation tickets from the past month for Enterprise customers to identify churn patterns")

  2. Agent action: Parahelp - Listed ticket data in period (last 30 days)

  3. Agent action: Parahelp - Researched support tickets ("cancellation Enterprise" - 47 results)

  4. Agent action: Parahelp - Read support tickets (18 tickets)

  5. Agent action: Linear - Listed issues ("churn" - existing issues)

  6. Agent action: Linear - Created issue ("Enterprise churn pattern: Missing SSO support - 8 mentions")

  7. Agent action: Linear - Updated issue ("API rate limits" - added 6 new Enterprise churn references)

  8. Agent action: Parahelp - Send status message ("I identified 4 churn patterns for Enterprise customers: Missing SSO support (8 mentions), API rate limits (6 mentions), lack of audit logs (4 mentions), and missing custom integrations (3 mentions). I've synced these with Linear.")

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