This action is valuable for quickly understanding the context of a new ticket by finding historically similar ones. It can aid in faster resolution by surfacing previous solutions, identifying if an issue is widespread, and preventing redundant work on duplicate tickets.
Quick start
1
Add to ticket workflow
Add the action to workflows triggered by new tickets or when you need to find related historical context.
2
Choose similarity type
Select whether to find open tickets for the same company, same contact, or tickets with similar content.
3
Set search parameters
Configure how many tickets to find, how far back to look, and relevancy thresholds for content similarity.
4
Add follow-up actions
Use “Add Ticket Note” to document similar tickets found or conditional logic based on results.
How it works
This action searches for related tickets through intelligent analysis:- Analyzes input ticket - Reviews ticket content, company, and contact information
- Performs targeted search - Uses different search strategies based on similarity type selected
- Applies filtering - Filters results by date range, board/queue, and relevancy thresholds
- Removes duplicates - Excludes the input ticket itself and deduplicates results
- Provides summaries - Creates useful summaries of similar tickets found with links and context
Setup
Similarity type: Choose what type of similar tickets to find:- Open tickets for the same company
- Open tickets for the same contact
- Tickets with similar content from the same company
- Set how many similar tickets to find (up to 10 by default)
- Choose how far back to look (90 days by default)
- For content similarity, adjust the relevancy threshold (0.40 by default - higher means stricter matching)
- Limit results to specific PSA boards or queues
- Focus on particular ticket types or categories
What you get
After running, you’ll have a list of similar tickets that were found, detailed summaries of the matches for your team (including ticket links and last updated dates), and activity logs for your Event History.Common use cases
Identify potential duplicates
Identify potential duplicates
Catch when customers accidentally submit multiple tickets for the same issue by finding open tickets for the same contact.
Surface historical solutions
Surface historical solutions
Provide technicians with context from previously resolved similar issues within the same company to speed up resolution.
Check for related open issues
Check for related open issues
Pattern recognition
Pattern recognition
Identify recurring issues by finding tickets with similar content patterns across different time periods.
Best practices
Adjust relevancy threshold carefully
Adjust relevancy threshold carefully
When using content similarity, test different thresholds. Too low might return irrelevant tickets, too high might miss genuinely similar issues.
Use appropriate time windows
Use appropriate time windows
For rapidly changing environments, use shorter periods (7-30 days). For complex issues, longer periods could be beneficial (90-180 days).
Combine with other actions
Combine with other actions
Use results with “Add Ticket Note” to document similar tickets, “Notify Internal Team” to alert about patterns, or conditional logic for automated decisions.
Review Event History
Review Event History
Check generated messages to ensure the action finds useful, relevant matches and adjust settings based on effectiveness.
Filter appropriately
Filter appropriately
Use board/queue filtering when you want to focus on specific types of tickets or team areas.
Start with company scope
Start with company scope
Begin with same-company searches before expanding to broader similarity searches to ensure relevance.
Example workflows
Duplicate Prevention
Duplicate Prevention
- Trigger: New ticket created
- Find Similar Tickets - Look for open tickets from same contact in past 7 days
- Add Ticket Note - Document any similar tickets found
- Result: Technicians immediately see if customer recently submitted similar issues
Historical Context
Historical Context
- Trigger: New ticket created
- Find Similar Tickets - Search for similar content tickets from same company
- Add Ticket Note - Provide historical context and previous solutions
- Result: Faster resolution by leveraging past successful approaches
Pattern Detection
Pattern Detection
- Trigger: High-priority ticket created
- Find Similar Tickets - Look for related open tickets for same company
- Notify Internal Team - Alert if multiple related issues found
- Result: Quick identification of widespread issues requiring coordinated response