Find shared problems across support tickets
Group support tickets that describe the same problem and prepare an engineering issue with evidence and a shared response.
How this works
Group support tickets that describe the same problem and prepare an engineering issue with evidence and a shared response.
Group tickets by observable symptoms and environment before considering a common cause. Similar wording does not prove one defect, and a release near the first report is only a hypothesis until an engineer verifies the relationship.
Before you start
Defined operating scope
Different tickets often describe the same underlying product problem.
Required source material
Obtain Support tickets; Product change history. If connectors are unavailable, use authorized files with the same fields.
Decision and exception rules
Similar symptoms occur on incompatible versions. Split the group or preserve version subgroups pending engineering review.
Prepare the inputs
- ticket_batch
- Required
IDs, symptom text and dates
Retain version and environment when available.
- release_history
- Required
Deployment times and changes
Match the affected service and environment.
- grouping_rules
- Required
Symptom and environment features
Define separate versus combined issue criteria.
- investigation_owner
- Required
Engineering team mapping
Route unknown ownership to triage.
Implementation, step by step
Establish the working record
- Confirm the selected records, effective versions and responsible owner.
- Check ticket_batch, release_history, grouping_rules, investigation_owner before beginning. Record the source version and the selected scope; an unavailable value stays unknown rather than becoming an inferred fact.
Checkpoint: The input record identifies the selected ticket_batch and any missing required fields.
Find tickets describing similar symptoms
- Cluster tickets using symptom, operation and environment; keep supporting examples and outliers visible.
- Inspect representative and boundary tickets from every proposed cluster.
Checkpoint: A saved intermediate result for: Find tickets describing similar symptoms.
Compare them with recent product changes
- Compare the onset window with releases and existing incidents without asserting causation from timing alone.
- Verify counts use distinct tickets and that the engineering issue preserves affected versions.
Checkpoint: A saved intermediate result for: Compare them with recent product changes.
Prepare an engineering issue with links to the tickets
- Prepare an engineering issue with reproducible observations, affected versions, ticket links and alternative explanations.
- Inspect representative and boundary tickets from every proposed cluster.
Checkpoint: A saved intermediate result for: Prepare an engineering issue with links to the tickets.
Suggest a shared response for support agents
- Draft a shared support response that communicates known facts and next steps without promising an unconfirmed fix date.
- Verify counts use distinct tickets and that the engineering issue preserves affected versions.
Checkpoint: A saved intermediate result for: Suggest a shared response for support agents.
Package the result and unresolved work
- An engineer checks the suspected cause. Timing alone does not establish causation.
- Support grouping does not authorize code changes or customer compensation.
Checkpoint: Groups of related tickets and supporting material for engineering investigation. Unresolved items remain visible in the review record.
Decisions along the way
Similar symptoms occur on incompatible versions.
Split the group or preserve version subgroups pending engineering review.
A recent deployment is the only causal evidence.
Label it a hypothesis and identify the diagnostic test needed.
A ticket contradicts the proposed group pattern.
Retain it as an outlier and reconsider the grouping rather than discarding it.
What you will produce
recurring-support-issues-result.json
JSONGroups of related tickets and supporting material for engineering investigation. Label proposed and completed states separately.
Include: cluster_id · symptom · affected_versions · ticket_ids · hypotheses · engineering_questions · status · evidence_reference · review_note
recurring-support-issues-review.md
MarkdownKeep the evidence and unresolved decisions needed to apply this result, including exceptions involving investigation_owner.
Include: source_reference · question · owner · next_action
Check the result
- Inspect representative and boundary tickets from every proposed cluster.
- Verify counts use distinct tickets and that the engineering issue preserves affected versions.
- Inspect ticket_batch and release_history in both the original and output; confirm that record identity and interpretation survived the transformation.
- An engineer checks the suspected cause. Timing alone does not establish causation.
When something goes wrong
Similar symptoms occur on incompatible versions.
Split the group or preserve version subgroups pending engineering review. Retain the affected evidence and recovery status.
A recent deployment is the only causal evidence.
Label it a hypothesis and identify the diagnostic test needed. Retain the affected evidence and recovery status.
A ticket contradicts the proposed group pattern.
Retain it as an outlier and reconsider the grouping rather than discarding it. Retain the affected evidence and recovery status.
A worked example
SYNTHETIC EXAMPLE · NOT A REPORTED BUSINESS RESULT
Request
Find shared problems across support tickets for the following bounded example; prepare the result for review.
Inputs
Synthetic example: Tickets T-1 and T-2 report export timeouts on version 4.0; T-3 reports a permission denial on 3.9. A release preceded T-1.
Expected result
Synthetic expected result: Create an export-timeout group containing T-1 and T-2. Keep T-3 separate. Mention the release as a candidate context, not an established cause.
Run a small pilot
Start small
Trial a representative batch containing the ordinary case and the exception demonstrated above.
Record the baseline
Record current preparation time, review effort and correction types for the same records.
Agree success criteria
Agree acceptable review and error limits; measure correctly grouped tickets; time to an actionable engineering issue.
Stop or revise
A ticket contradicts the proposed group pattern. Pause affected records and apply this recovery: Retain it as an outlier and reconsider the grouping rather than discarding it.
Keep the scope clear
- Support grouping does not authorize code changes or customer compensation.
- An engineer validates causes; public updates must avoid unsupported promises.
Check before using
An engineer checks the suspected cause. Timing alone does not establish causation.
Business activities
- Resolve customer questions
- Plan products and business changes
FROM A RECIPE TO YOUR WORKFLOW
Bring the company context together.
This workflow needs reliable inputs before it needs a better prompt. Moat8 Vault brings working information into a readable archive for the AI tools you use.
For this recipe: Support tickets · Product change history
Start with one recurring task, agree which sources to use, and review the first result with your team.
Discuss this workflow