Shortcut connector

Set up the Shortcut connector in Kaivo: authentication, configuration, the 23 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated 16 days ago

Kaivo is a fully managed data platform that syncs your Shortcut data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your project management data instead of moving it.

What is the Shortcut connector

Sync your Shortcut stories, epics, and iterations into BigQuery with Kaivo to report on engineering delivery alongside the rest of your data.

Category	Project Management
Authentication	API key
Setup	Self-service

Getting started with the Shortcut connector

Sign up for Kaivo and create a workspace.
Connect your Shortcut account.
Choose which tables to sync.
Wait for the initial sync to finish.
Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Shortcut

Authenticate with your API Key.

Field	Description
API Key

Configuring the Shortcut connector

When you set up the connector, you provide:

Field	Description
Start Date	Any data before this date will not be fetched.

Tables and columns synced from Shortcut

Kaivo syncs 23 tables from Shortcut into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

categories (10 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`type`	`STRING`
`archived`	`BOOL`
`created_at`	`STRING`
`entity_type`	`STRING`
`global_id`	`STRING`
`id`	`FLOAT64`
`name`	`STRING`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

categories_milestones (17 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`app_url`	`STRING`
`archived`	`BOOL`
`completed`	`BOOL`
`created_at`	`STRING`
`entity_type`	`STRING`
`global_id`	`STRING`
`id`	`FLOAT64`
`name`	`STRING`
`position`	`FLOAT64`
`started`	`BOOL`
`started_at_override`	`STRING`
`state`	`STRING`
`stats__num_related_documents`	`FLOAT64`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

categories_milestones__categories (11 columns)
categories_milestones__key_result_ids (4 columns)

categories_objectives (17 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`app_url`	`STRING`
`archived`	`BOOL`
`completed`	`BOOL`
`created_at`	`STRING`
`entity_type`	`STRING`
`global_id`	`STRING`
`id`	`FLOAT64`
`name`	`STRING`
`position`	`FLOAT64`
`started`	`BOOL`
`started_at_override`	`STRING`
`state`	`STRING`
`stats__num_related_documents`	`FLOAT64`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

categories_objectives__categories (11 columns)
categories_objectives__key_result_ids (4 columns)

custom-fields (13 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`canonical_name`	`STRING`
`created_at`	`STRING`
`enabled`	`BOOL`
`entity_type`	`STRING`
`field_type`	`STRING`
`fixed_position`	`BOOL`
`id`	`STRING`
`name`	`STRING`
`position`	`FLOAT64`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

custom-fields__story_types (4 columns)
custom-fields__values (9 columns)

epic-workflow (7 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`created_at`	`STRING`
`default_epic_state_id`	`FLOAT64`
`entity_type`	`STRING`
`id`	`FLOAT64`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

epic-workflow__epic_states (12 columns)

epics (36 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`app_url`	`STRING`
`archived`	`BOOL`
`completed`	`BOOL`
`created_at`	`STRING`
`deadline`	`STRING`
`entity_type`	`STRING`
`epic_state_id`	`FLOAT64`
`global_id`	`STRING`
`group_id`	`STRING`
`id`	`FLOAT64`
`milestone_id`	`FLOAT64`
`name`	`STRING`
`planned_start_date`	`STRING`
`position`	`FLOAT64`
`requested_by_id`	`STRING`
`started`	`BOOL`
`started_at`	`STRING`
`state`	`STRING`
`stats__last_story_update`	`STRING`
`stats__num_points`	`FLOAT64`
`stats__num_points_backlog`	`FLOAT64`
`stats__num_points_done`	`FLOAT64`
`stats__num_points_started`	`FLOAT64`
`stats__num_points_unstarted`	`FLOAT64`
`stats__num_related_documents`	`FLOAT64`
`stats__num_stories_backlog`	`FLOAT64`
`stats__num_stories_done`	`FLOAT64`
`stats__num_stories_started`	`FLOAT64`
`stats__num_stories_total`	`FLOAT64`
`stats__num_stories_unestimated`	`FLOAT64`
`stats__num_stories_unstarted`	`FLOAT64`
`stories_without_projects`	`FLOAT64`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

epics__follower_ids (4 columns)
epics__group_ids (4 columns)
epics__group_mention_ids (4 columns)
epics__label_ids (4 columns)
epics__labels (13 columns)
epics__member_mention_ids (4 columns)
epics__mention_ids (4 columns)
epics__objective_ids (4 columns)
epics__owner_ids (4 columns)
epics__project_ids (4 columns)

epics_comments (10 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`app_url`	`STRING`
`author_id`	`STRING`
`created_at`	`STRING`
`deleted`	`BOOL`
`entity_type`	`STRING`
`id`	`FLOAT64`
`text`	`STRING`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

epics_comments__comments (11 columns)
epics_comments__comments__comments (4 columns)
epics_comments__comments__group_mention_ids (4 columns)
epics_comments__comments__member_mention_ids (4 columns)
epics_comments__comments__mention_ids (4 columns)
epics_comments__group_mention_ids (4 columns)
epics_comments__member_mention_ids (4 columns)
epics_comments__mention_ids (4 columns)

epics_stories (28 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`app_url`	`STRING`
`archived`	`BOOL`
`blocked`	`BOOL`
`blocker`	`BOOL`
`completed`	`BOOL`
`created_at`	`STRING`
`deadline`	`STRING`
`entity_type`	`STRING`
`epic_id`	`FLOAT64`
`estimate`	`FLOAT64`
`global_id`	`STRING`
`group_id`	`STRING`
`id`	`FLOAT64`
`iteration_id`	`FLOAT64`
`moved_at`	`STRING`
`name`	`STRING`
`num_tasks_completed`	`FLOAT64`
`position`	`FLOAT64`
`requested_by_id`	`STRING`
`started`	`BOOL`
`started_at`	`STRING`
`stats__num_related_documents`	`FLOAT64`
`story_type`	`STRING`
`updated_at`	`STRING`
`workflow_id`	`FLOAT64`
`workflow_state_id`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

epics_stories__comment_ids (4 columns)
epics_stories__custom_fields (4 columns)
epics_stories__external_links (4 columns)
epics_stories__file_ids (4 columns)
epics_stories__follower_ids (4 columns)
epics_stories__group_mention_ids (4 columns)
epics_stories__label_ids (4 columns)
epics_stories__labels (4 columns)
epics_stories__linked_file_ids (4 columns)
epics_stories__member_mention_ids (4 columns)
epics_stories__mention_ids (4 columns)
epics_stories__owner_ids (4 columns)
epics_stories__previous_iteration_ids (4 columns)
epics_stories__story_links (4 columns)
epics_stories__task_ids (4 columns)

files (13 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`content_type`	`STRING`
`created_at`	`STRING`
`entity_type`	`STRING`
`filename`	`STRING`
`id`	`FLOAT64`
`name`	`STRING`
`size`	`FLOAT64`
`updated_at`	`STRING`
`uploader_id`	`STRING`
`url`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

files__group_mention_ids (4 columns)
files__member_mention_ids (4 columns)
files__mention_ids (4 columns)
files__story_ids (4 columns)

groups (14 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`app_url`	`STRING`
`archived`	`BOOL`
`entity_type`	`STRING`
`global_id`	`STRING`
`id`	`STRING`
`mention_name`	`STRING`
`name`	`STRING`
`num_epics_started`	`FLOAT64`
`num_stories`	`FLOAT64`
`num_stories_backlog`	`FLOAT64`
`num_stories_started`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

groups__member_ids (4 columns)
groups__workflow_ids (4 columns)

groups_stories (28 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`app_url`	`STRING`
`archived`	`BOOL`
`blocked`	`BOOL`
`blocker`	`BOOL`
`completed`	`BOOL`
`created_at`	`STRING`
`deadline`	`STRING`
`entity_type`	`STRING`
`epic_id`	`FLOAT64`
`estimate`	`FLOAT64`
`global_id`	`STRING`
`group_id`	`STRING`
`id`	`FLOAT64`
`iteration_id`	`FLOAT64`
`moved_at`	`STRING`
`name`	`STRING`
`num_tasks_completed`	`FLOAT64`
`position`	`FLOAT64`
`requested_by_id`	`STRING`
`started`	`BOOL`
`started_at`	`STRING`
`stats__num_related_documents`	`FLOAT64`
`story_type`	`STRING`
`updated_at`	`STRING`
`workflow_id`	`FLOAT64`
`workflow_state_id`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

groups_stories__comment_ids (4 columns)
groups_stories__custom_fields (4 columns)
groups_stories__external_links (4 columns)
groups_stories__file_ids (4 columns)
groups_stories__follower_ids (4 columns)
groups_stories__group_mention_ids (4 columns)
groups_stories__label_ids (4 columns)
groups_stories__labels (4 columns)
groups_stories__linked_file_ids (4 columns)
groups_stories__member_mention_ids (4 columns)
groups_stories__mention_ids (4 columns)
groups_stories__owner_ids (4 columns)
groups_stories__previous_iteration_ids (4 columns)
groups_stories__story_links (4 columns)
groups_stories__task_ids (4 columns)

iterations (23 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`app_url`	`STRING`
`created_at`	`STRING`
`end_date`	`STRING`
`entity_type`	`STRING`
`global_id`	`STRING`
`id`	`FLOAT64`
`name`	`STRING`
`start_date`	`STRING`
`stats__num_points`	`FLOAT64`
`stats__num_points_backlog`	`FLOAT64`
`stats__num_points_done`	`FLOAT64`
`stats__num_points_started`	`FLOAT64`
`stats__num_points_unstarted`	`FLOAT64`
`stats__num_related_documents`	`FLOAT64`
`stats__num_stories_backlog`	`FLOAT64`
`stats__num_stories_done`	`FLOAT64`
`stats__num_stories_started`	`FLOAT64`
`stats__num_stories_unestimated`	`FLOAT64`
`stats__num_stories_unstarted`	`FLOAT64`
`status`	`STRING`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

iterations__follower_ids (4 columns)
iterations__group_ids (4 columns)
iterations__group_mention_ids (4 columns)
iterations__label_ids (4 columns)
iterations__labels (4 columns)
iterations__member_mention_ids (4 columns)
iterations__mention_ids (4 columns)

iterations_stories (28 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`app_url`	`STRING`
`archived`	`BOOL`
`blocked`	`BOOL`
`blocker`	`BOOL`
`completed`	`BOOL`
`created_at`	`STRING`
`deadline`	`STRING`
`entity_type`	`STRING`
`epic_id`	`FLOAT64`
`estimate`	`FLOAT64`
`global_id`	`STRING`
`group_id`	`STRING`
`id`	`FLOAT64`
`iteration_id`	`FLOAT64`
`moved_at`	`STRING`
`name`	`STRING`
`num_tasks_completed`	`FLOAT64`
`position`	`FLOAT64`
`requested_by_id`	`STRING`
`started`	`BOOL`
`started_at`	`STRING`
`stats__num_related_documents`	`FLOAT64`
`story_type`	`STRING`
`updated_at`	`STRING`
`workflow_id`	`FLOAT64`
`workflow_state_id`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

iterations_stories__comment_ids (4 columns)
iterations_stories__custom_fields (4 columns)
iterations_stories__external_links (4 columns)
iterations_stories__file_ids (4 columns)
iterations_stories__follower_ids (4 columns)
iterations_stories__group_mention_ids (4 columns)
iterations_stories__label_ids (4 columns)
iterations_stories__labels (4 columns)
iterations_stories__linked_file_ids (4 columns)
iterations_stories__member_mention_ids (4 columns)
iterations_stories__mention_ids (4 columns)
iterations_stories__owner_ids (4 columns)
iterations_stories__previous_iteration_ids (4 columns)
iterations_stories__story_links (4 columns)
iterations_stories__task_ids (4 columns)

labels (29 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`app_url`	`STRING`
`archived`	`BOOL`
`color`	`STRING`
`created_at`	`STRING`
`entity_type`	`STRING`
`global_id`	`STRING`
`id`	`FLOAT64`
`name`	`STRING`
`stats__num_epics`	`FLOAT64`
`stats__num_epics_completed`	`FLOAT64`
`stats__num_epics_in_progress`	`FLOAT64`
`stats__num_epics_total`	`FLOAT64`
`stats__num_epics_unstarted`	`FLOAT64`
`stats__num_points_backlog`	`FLOAT64`
`stats__num_points_completed`	`FLOAT64`
`stats__num_points_in_progress`	`FLOAT64`
`stats__num_points_total`	`FLOAT64`
`stats__num_points_unstarted`	`FLOAT64`
`stats__num_related_documents`	`FLOAT64`
`stats__num_stories_backlog`	`FLOAT64`
`stats__num_stories_completed`	`FLOAT64`
`stats__num_stories_in_progress`	`FLOAT64`
`stats__num_stories_total`	`FLOAT64`
`stats__num_stories_unestimated`	`FLOAT64`
`stats__num_stories_unstarted`	`FLOAT64`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

member (6 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`STRING`
`mention_name`	`STRING`
`name`	`STRING`
`workspace2__url_slug`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

member__workspace2__estimate_scale (4 columns)

members (20 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`created_at`	`STRING`
`created_without_invite`	`BOOL`
`disabled`	`BOOL`
`entity_type`	`STRING`
`global_id`	`STRING`
`id`	`STRING`
`profile__deactivated`	`BOOL`
`profile__email_address`	`STRING`
`profile__entity_type`	`STRING`
`profile__gravatar_hash`	`STRING`
`profile__id`	`STRING`
`profile__is_owner`	`BOOL`
`profile__mention_name`	`STRING`
`profile__name`	`STRING`
`profile__two_factor_auth_activated`	`BOOL`
`role`	`STRING`
`state`	`STRING`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

members__group_ids (4 columns)

milestones (17 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`app_url`	`STRING`
`archived`	`BOOL`
`completed`	`BOOL`
`created_at`	`STRING`
`entity_type`	`STRING`
`global_id`	`STRING`
`id`	`FLOAT64`
`name`	`STRING`
`position`	`FLOAT64`
`started`	`BOOL`
`started_at_override`	`STRING`
`state`	`STRING`
`stats__num_related_documents`	`FLOAT64`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

milestones__categories (11 columns)
milestones__key_result_ids (4 columns)

milestones_epics (35 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`app_url`	`STRING`
`archived`	`BOOL`
`completed`	`BOOL`
`created_at`	`STRING`
`deadline`	`STRING`
`entity_type`	`STRING`
`epic_state_id`	`FLOAT64`
`global_id`	`STRING`
`group_id`	`STRING`
`id`	`FLOAT64`
`milestone_id`	`FLOAT64`
`name`	`STRING`
`planned_start_date`	`STRING`
`position`	`FLOAT64`
`requested_by_id`	`STRING`
`started`	`BOOL`
`started_at`	`STRING`
`state`	`STRING`
`stats__last_story_update`	`STRING`
`stats__num_points`	`FLOAT64`
`stats__num_points_backlog`	`FLOAT64`
`stats__num_points_done`	`FLOAT64`
`stats__num_points_started`	`FLOAT64`
`stats__num_points_unstarted`	`FLOAT64`
`stats__num_related_documents`	`FLOAT64`
`stats__num_stories_backlog`	`FLOAT64`
`stats__num_stories_done`	`FLOAT64`
`stats__num_stories_started`	`FLOAT64`
`stats__num_stories_total`	`FLOAT64`
`stats__num_stories_unestimated`	`FLOAT64`
`stats__num_stories_unstarted`	`FLOAT64`
`stories_without_projects`	`FLOAT64`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

milestones_epics__follower_ids (4 columns)
milestones_epics__group_ids (4 columns)
milestones_epics__group_mention_ids (4 columns)
milestones_epics__label_ids (4 columns)
milestones_epics__labels (4 columns)
milestones_epics__member_mention_ids (4 columns)
milestones_epics__mention_ids (4 columns)
milestones_epics__objective_ids (4 columns)
milestones_epics__owner_ids (4 columns)
milestones_epics__project_ids (4 columns)

objectives (17 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`app_url`	`STRING`
`archived`	`BOOL`
`completed`	`BOOL`
`created_at`	`STRING`
`entity_type`	`STRING`
`global_id`	`STRING`
`id`	`FLOAT64`
`name`	`STRING`
`position`	`FLOAT64`
`started`	`BOOL`
`started_at_override`	`STRING`
`state`	`STRING`
`stats__num_related_documents`	`FLOAT64`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

objectives__categories (11 columns)
objectives__key_result_ids (4 columns)

objectives_epics (35 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`app_url`	`STRING`
`archived`	`BOOL`
`completed`	`BOOL`
`created_at`	`STRING`
`deadline`	`STRING`
`entity_type`	`STRING`
`epic_state_id`	`FLOAT64`
`global_id`	`STRING`
`group_id`	`STRING`
`id`	`FLOAT64`
`milestone_id`	`FLOAT64`
`name`	`STRING`
`planned_start_date`	`STRING`
`position`	`FLOAT64`
`requested_by_id`	`STRING`
`started`	`BOOL`
`started_at`	`STRING`
`state`	`STRING`
`stats__last_story_update`	`STRING`
`stats__num_points`	`FLOAT64`
`stats__num_points_backlog`	`FLOAT64`
`stats__num_points_done`	`FLOAT64`
`stats__num_points_started`	`FLOAT64`
`stats__num_points_unstarted`	`FLOAT64`
`stats__num_related_documents`	`FLOAT64`
`stats__num_stories_backlog`	`FLOAT64`
`stats__num_stories_done`	`FLOAT64`
`stats__num_stories_started`	`FLOAT64`
`stats__num_stories_total`	`FLOAT64`
`stats__num_stories_unestimated`	`FLOAT64`
`stats__num_stories_unstarted`	`FLOAT64`
`stories_without_projects`	`FLOAT64`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

objectives_epics__follower_ids (4 columns)
objectives_epics__group_ids (4 columns)
objectives_epics__group_mention_ids (4 columns)
objectives_epics__label_ids (4 columns)
objectives_epics__labels (4 columns)
objectives_epics__member_mention_ids (4 columns)
objectives_epics__mention_ids (4 columns)
objectives_epics__objective_ids (4 columns)
objectives_epics__owner_ids (4 columns)
objectives_epics__project_ids (4 columns)

stories_comments (13 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`app_url`	`STRING`
`author_id`	`STRING`
`created_at`	`STRING`
`deleted`	`BOOL`
`entity_type`	`STRING`
`id`	`FLOAT64`
`linked_to_slack`	`BOOL`
`position`	`FLOAT64`
`story_id`	`FLOAT64`
`text`	`STRING`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

stories_comments__group_mention_ids (4 columns)
stories_comments__member_mention_ids (4 columns)
stories_comments__mention_ids (4 columns)
stories_comments__reactions (4 columns)

story_history (7 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`version`	`STRING`
`changed_at`	`STRING`
`id`	`STRING`
`member_id`	`STRING`
`primary_id`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

story_history__actions (21 columns)
story_history__actions__follower_ids (4 columns)
story_history__actions__owner_ids (4 columns)
story_history__actions__task_ids (4 columns)
story_history__references (8 columns)

workflows (11 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`auto_assign_owner`	`BOOL`
`created_at`	`STRING`
`default_state_id`	`FLOAT64`
`entity_type`	`STRING`
`id`	`FLOAT64`
`name`	`STRING`
`team_id`	`FLOAT64`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

workflows__project_ids (4 columns)
workflows__states (15 columns)

How the Shortcut sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Shortcut supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Shortcut?

It depends on how much history is in your Shortcut account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Shortcut's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Shortcut, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Shortcut instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Shortcut connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Shortcut data

Iteration velocity

Use stories and iterations to measure velocity and completion rates.

Epic progress

Track epics and their stories to report on progress against larger initiatives.

Cycle time

Analyse story states and timestamps to measure how long work takes.

Team throughput

Break stories down by group to monitor throughput and workload.

Use Shortcut data in your AI and BI tools

Once Shortcut data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Shortcut data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Shortcut connector pricing and plan details.

ClickUp: Sync ClickUp to BigQuery.
GitHub: Sync GitHub to BigQuery.
GitLab: Sync GitLab to BigQuery.
Harvest: Sync Harvest to BigQuery.
Jira: Sync Jira to BigQuery.
Kellokortti: Sync Kellokortti to BigQuery.

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What is the Shortcut connector

Getting started with the Shortcut connector

Authenticating Shortcut

Configuring the Shortcut connector

Tables and columns synced from Shortcut

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How the Shortcut sync works

Frequently asked questions

How long does the initial sync take for Shortcut?

Can I sync only some tables or columns?

What happens when Shortcut's schema changes?

How do I handle GDPR or data deletion requests?

Common use cases for Shortcut data

Iteration velocity

Epic progress

Cycle time

Team throughput

Use Shortcut data in your AI and BI tools

Claude

Power BI

Data Studio

Tableau

Google Sheets

Excel

Metabase

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