Log new support tickets directly into database tables

When a customer submits a new ticket in Userflow, instantly insert a record into Google BigQuery to preserve central activity logs.

Try:

See all Google BigQuery + Userflow integrations or talk to a human

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

Google BigQuery Explore Google BigQuery →

Triggers

New row inserted

Fires when a new row is added to a table in Google BigQuery.

Row updated

Fires when an existing row changes in Google BigQuery.

Query result ready

Fires when a scheduled query in Google BigQuery finishes running.

Actions

Run a query

Runs a SQL query against Google BigQuery and returns the result.

Insert or update a row

Writes a new or updated row to Google BigQuery.

Sync a table

Syncs a table in Google BigQuery with data from another source.

Userflow Explore Userflow →

Triggers

New ticket created

Fires when a new support ticket is created in Userflow.

Ticket status changed

Fires when a ticket's status changes in Userflow.

Ticket assigned

Fires when a ticket in Userflow is assigned to an agent.

SLA breached

Fires when a ticket in Userflow breaches its response SLA.

Actions

Create ticket

Creates a new ticket in Userflow.

Update ticket status

Updates a ticket's status in Userflow.

Assign ticket

Assigns a ticket in Userflow to an agent.

Add ticket comment

Posts an internal or public comment on a ticket in Userflow.

Update ticket status when backend database state changes When an issue or order status row is updated in Google BigQuery, automatically adjust the related ticket status in Userflow. See details

Record SLA breaches in reporting database tables Whenever a ticket breaches its SLA in Userflow, insert an event row in Google BigQuery to track team compliance metrics over time. See details

See all Google BigQuery + Userflow integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Log new support tickets directly into database tables” between Google BigQuery and Userflow?

Yes — describe it in the box above and Knit's Integrations Agent researches Google BigQuery and Userflow's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

What's the most common Databases & Warehouses + Ticketing automation?

Writing new and updated tickets from Userflow into a table in Google BigQuery continuously, so support metrics stay current without a manual export.

Does this capture custom fields and tags, or just the basics?

The Agent maps whatever custom fields and tags Userflow exposes, not just the default ticket schema, into the matching columns in Google BigQuery.