CUSTOMER SUPPORT
Log Negative Front Threads to an Airtable Churn Tracker
Captures every Front thread that turns negative into a structured Airtable record — customer, sentiment score, root-cause category, and reason quote.
How it runs
The automated pipeline, trigger to output.
- TriggerFront conversation tagged at-risk or scores negativeFront
- ActionPull conversation, customer, and assignee from FrontFront
- ActionSummarize complaint and classify root cause with OpenAIOpenAI
- LogicDedupe against existing open churn recordsAirtable
- OutputWrite structured row to Airtable churn trackerAirtable
What it does
Whenever a Front conversation is tagged `at-risk` or a reply scores strongly negative, it extracts the customer details and uses OpenAI to summarize the complaint and assign a root-cause category (pricing, bug, support delay, feature gap). It then writes a structured row to an Airtable churn tracker so retention and product leads have a clean dataset of who is unhappy and why, rather than digging through inbox archives.
When to use it
Use it when you want angry threads to become durable, reportable data instead of vanishing once they are resolved. Perfect for teams running a weekly save-rate review or feeding churn signals to product.
How it works
- 1A Front conversation gets tagged `at-risk` or a reply crosses the negative threshold, firing the trigger.
- 2The flow pulls the conversation, customer email, and assignee from Front.
- 3OpenAI summarizes the complaint in one line and classifies the root cause.
- 4A branch deduplicates against existing open records for the same customer.
- 5A new or updated row lands in the Airtable churn tracker with score, category, quote, and link.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect AirtableBases, tables, views, automations.
- 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.
More Customer Support workflows
Send a tailored Loom onboarding sequence on Front first-reply
When a new customer's first email lands in Front, this picks the Loom onboarding walkthroughs matching their plan and use case, builds a friendly sequenced reply.
Suggest the right Loom video by classifying Intercom message intent
Reads each new inbound Intercom conversation, classifies what the customer is trying to do, and surfaces the best-matching Loom walkthrough to the agent as an internal note.
Draft personalized fix-live replies for support to review
When a Sentry issue resolves, an agent reads each linked ticket's full thread and drafts a tailored 'your fix is live' reply per requester.
Close the loop with requesters when a Linear bug moves to Done
When a Linear issue created from a support escalation moves to Done after deploy, look up the originating Zendesk tickets and notify each requester that their reported bug is…
Reopen and notify Front conversations when their bug fix deploys
When a deploy resolves a Sentry issue, find the snoozed or closed Front conversations linked to it, reopen them, and send the customer a reply that the fix is now live.
Tell Intercom users their reported bug shipped after a Vercel deploy
On a successful Vercel production deployment, match the release's resolved Sentry issues to Intercom conversations and message each affected user that their reported issue is…
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.