CUSTOMER SUPPORT
Detect Root-Cause Spikes and Open a Linear Bug Per Cluster
Daily, compares today's resolved-ticket clusters against a rolling baseline, and when a root cause spikes it opens or updates a single Linear issue for engineering…
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule fires
- ActionPull last 24h resolved tickets and clusterZendesk
- LogicFlag clusters spiking above baseline
- ActionSearch Linear for matching issueLinear
- ActionCreate or update Linear bug with evidenceLinear
- OutputAlert support-engineering Slack channelSlack
What it does
Watches resolved tickets for root-cause clusters that suddenly surge above their normal rate and escalates them to engineering as actionable bugs. It deduplicates against existing issues so a recurring spike updates one ticket rather than spawning many.
When to use it
Use it to close the loop between support and engineering, so a product defect generating a wave of tickets gets a tracked issue with evidence instead of living only in scattered conversations.
How it works
- 1A daily schedule fires the workflow.
- 2It pulls the last 24 hours of resolved Zendesk tickets and clusters them by root cause with OpenAI.
- 3A logic step compares each cluster's volume to its rolling baseline and flags statistically notable spikes.
- 4For each spike, it searches Linear for an existing matching issue.
- 5If none exists, it creates a Linear issue with a summary, impacted ticket count, and example links; if one exists, it appends the new evidence and updated count.
- 6It posts a short alert to the support-engineering Slack channel linking the issue.
Set it up
What you configure once, before turning it on.
- 1Connect ZendeskTickets, queues, knowledge base.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Customer Support workflows
Flag Live Intercom Chats With No Help Article and Alert Slack
When an Intercom conversation closes, checks whether the customer's question is already covered by a help article.
Negative VIP CSAT to Owner Callback Scheduler
When a VIP submits a low Intercom CSAT rating, drafts a recovery note with an LLM and books a callback on the account owner's Google Calendar within their working hours.
CEO Agent: Mine Last Month's Tickets and Publish a Deflection Plan
Monthly, an agent investigates the top recurring Zendesk ticket themes, drafts and publishes the highest-confidence help articles to ReadMe.
Mine a Discord Support Channel for Recurring Questions to Document
On a daily schedule, scans a Discord support channel for questions the community keeps asking, deduplicates against existing ReadMe docs.
Daily VIP Sentiment Digest for Account Owners
Each morning, pulls the prior day's Intercom conversations for VIP accounts, summarizes the overall mood per account with an LLM.
VIP Reply Sentiment Watcher with Account-Owner Escalation
Scores every inbound Intercom reply from a VIP customer for frustration and, when it crosses the anger threshold, pings the account owner in Slack with the conversation link…
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.