Stop manually copying dashboard screenshots into documentation or hunting for the right metrics definition. Redbird AI syncs analytics insights with team wikis, embeds live Looker data in Confluence pages, and keeps your documentation aligned with your metrics layer.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When dashboards update in Looker, Redbird captures the latest metrics and embeds them directly into relevant Confluence pages. Product teams always see current KPIs without manual screenshot updates.
Whenever data teams publish new semantic models in Looker, Redbird automatically creates Confluence pages documenting available metrics, definitions, and usage examples. Business users always have up-to-date metric catalogs.
When product teams define new metrics in Confluence requirement docs, Redbird flags them for data teams and tracks implementation status in Looker. Ensures spec-to-implementation alignment.
When scheduled Looker reports detect anomalies or KPIs crossing thresholds, Redbird posts context-rich alerts to relevant Confluence pages. Teams see issues where they're already collaborating, not buried in email.
When stakeholders document analytics needs in Confluence planning pages, Redbird identifies data requirements and creates draft Looker explore suggestions. Data teams get structured requests instead of vague asks.
At period close, Redbird captures executive dashboard states from Looker and creates timestamped Confluence documentation. Teams maintain a historical record of how metrics evolved across quarters.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Confluence and Looker with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands Confluence's hierarchical page structure and content macros alongside Looker's LookML semantic layer and explore definitions, enabling intelligent sync between documentation and metrics.
Redbird parses Confluence page hierarchies, inline comments, and @mentions to understand team context. It simultaneously reads Looker's LookML models, dimension definitions, and measure calculations to map metrics to documentation. When content changes in either system, Redbird identifies relationships and propagates updates bidirectionally, understanding which dashboard belongs on which project page and which metric definitions need documenting.
faster than manually updating documentation with dashboard screenshots and metric definitions
Redbird can pull from Confluence and Looker simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Confluence or Looker.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Confluence into Looker, or from Looker back into Confluence. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start from any event in Confluence or Looker and automate documentation, metric syncs, and stakeholder updates across your entire stack.
Fires when any Confluence page is created, edited, or has content changes in watched spaces.
Triggers when team members comment on documentation, specs, or planning pages.
Activates when specific labels like 'metrics-needed' or 'data-request' are applied to pages.
Generates new Confluence pages or updates existing documentation with fresh content.
Posts contextual comments on specific sections of Confluence pages with data insights or alerts.
Adds dashboard embeds, status macros, or live data visualizations into page content.
Fires when Looker dashboards refresh or saved Looks are modified with new visualizations.
Triggers when automated Looker reports complete and new data snapshots are available.
Activates when data teams push new semantic models, dimensions, or measures to production.
Captures current state of Looker dashboards as images or data extracts for documentation.
Sets up new automated Looker reports based on documentation requirements or stakeholder requests.
Runs ad-hoc queries against Looker explores to pull specific metrics for embedding in wikis.
See how Redbird AI syncs Confluence documentation with Looker analytics in minutes. Stop manually updating wikis with stale dashboard screenshots and keep your entire team aligned on metrics.