CUSTOMER SUPPORT
Weekly Root-Cause Cluster Digest from Resolved Zendesk Tickets
Every week, pulls the past 7 days of resolved Zendesk tickets, clusters them by underlying root cause with an LLM.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionFetch tickets resolved in last 7 daysZendesk
- ActionCluster tickets by root causeOpenAI
- LogicRank clusters and drop low-volume noise
- OutputPost ranked digest to SlackSlack
What it does
Turns last week's pile of resolved tickets into a short, ranked list of the root-cause clusters driving the most volume. Instead of reading hundreds of tickets, your team gets the five or six themes that actually matter, each with a ticket count and example links.
When to use it
Run it as a Monday-morning standup input, or whenever support leadership wants a recurring read on what's generating contact volume without manual tagging or spreadsheet triage.
How it works
- 1A weekly schedule fires the workflow.
- 2It queries Zendesk for tickets solved in the last 7 days, pulling subject, description, and resolution notes.
- 3An OpenAI step groups the tickets into root-cause clusters, naming each theme and estimating its share of volume.
- 4A logic step ranks clusters by ticket count and keeps the top clusters above a noise threshold.
- 5It formats a digest with each cluster's name, count, trend versus the prior week, and two example ticket links.
- 6The digest is posted to a Slack support channel.
Set it up
What you configure once, before turning it on.
- 1Connect ZendeskTickets, queues, knowledge base.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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