CUSTOMER SUPPORT

Low-CSAT Tickets to Drafted Help Articles

When a Zendesk ticket receives a bad satisfaction rating, an agent reviews whether the issue lacks help-center coverage and, if so, drafts a full new article in Notion and opens…

CategoryCustomer Support
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerBad CSAT rating received on ticketZendeskZendesk
  • ActionFetch full ticket conversationZendeskZendesk
  • LogicJudge if a missing article caused the ticket
  • ActionDraft new help article as Notion pageNotionNotion
  • OutputOpen Linear task to review and publishLinearLinear

What it does

Turns every poor satisfaction rating into a chance to close a documentation gap. On each bad CSAT response, an agent reads the ticket thread, decides whether the customer's problem was caused by missing or unclear self-serve content, and if so writes a complete draft article and queues it for review.

When to use it

Use it when negative CSAT is often driven by customers who could not find an answer themselves. It converts complaints into a publishing pipeline rather than just a dashboard metric.

How it works

  1. 1A bad CSAT rating on a Zendesk ticket triggers the workflow.
  2. 2The agent pulls the full ticket conversation for context.
  3. 3It judges whether a help article would have prevented the ticket; non-content issues are skipped.
  4. 4For real gaps, the agent drafts a structured article (title, problem, steps, related links) as a Notion page.
  5. 5It opens a Linear issue linking the draft and the source ticket for an editor to review and publish.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Connect LinearIssues, projects, cycles, triage.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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