TICKET MANAGEMENT

Find help articles that cause ticket reopens

When a Zendesk ticket reopens after being solved, identifies the Confluence help article linked in the resolution and clusters reopens per article so you can spot the docs…

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZendesk ticket reopened after solvedZendeskZendesk
  • ActionExtract Confluence article links from solving commentZendeskZendesk
  • LogicSkip if no article was cited; else tally per article
  • ActionFetch article titles for top offendersConfluenceConfluence
  • OutputPublish reopen-by-article summary page in ConfluenceConfluenceConfluence

What it does

Links reopened tickets to the specific Confluence help-center article an agent cited when they solved the ticket. By clustering reopens per article, it surfaces the documentation that looks helpful but does not actually solve the customer's problem.

When to use it

Use this when your team resolves tickets by pointing customers at knowledge-base articles and you want to know which of those articles are failing. It tells your docs team exactly what to rewrite, ranked by customer impact.

How it works

The workflow triggers when a Zendesk ticket transitions back to open from a solved state. It scans the ticket's solving comment for Confluence article URLs. If none are found, the ticket is skipped. For each matched article it accumulates a reopen tally in a running store keyed by article ID. On a weekly cadence it pulls the current titles from Confluence for the top offenders and writes a summary page back into the Confluence space listing each article, its reopen count, and linked example tickets for the docs owner.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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