CUSTOMER SUPPORT

Weekly Unanswered-Intent Clusters to Notion

Every week, pulls Zendesk tickets that closed without a matching macro, clusters them by intent with an LLM.

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule
  • ActionFetch tickets solved in last 7 daysZendeskZendesk
  • LogicKeep only tickets with no macro applied
  • ActionCluster intents and suggest article titlesOpenAI
  • LogicRank clusters by volume
  • OutputPublish coverage-gap digest to NotionNotionNotion

What it does

Finds the recurring questions your help center does not yet answer. It scans the last week of Zendesk tickets, keeps only those resolved without an applied macro, groups them into intent clusters, and writes a ranked digest to Notion showing volume, example tickets, and a suggested article title per cluster.

When to use it

Run it as a standing weekly ritual when you want a steady, data-driven backlog of help-content work instead of guessing what to document. Ideal for support leads doing weekly content planning.

How it works

  1. 1A weekly schedule fires the workflow.
  2. 2Zendesk returns tickets solved in the last 7 days.
  3. 3A filter keeps only tickets where no macro was applied (the true coverage gaps).
  4. 4OpenAI clusters the ticket subjects and first messages into labeled intent groups, each with a one-line summary and proposed article headline.
  5. 5A ranking step sorts clusters by ticket count so the biggest gaps surface first.
  6. 6The digest is written as a new Notion page with a table of clusters, counts, and example ticket links.

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
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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