Redbird AI syncs engineering activity from Jira into Segment's customer data streams automatically. Stop manually tagging releases in analytics tools or exporting sprint data to correlate feature launches with user behavior. Let AI keep your product and engineering timelines aligned across your entire data stack.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically send version release events from Jira to Segment whenever you ship a new version or deployment. Redbird enriches each event with issue metadata, sprint context, and feature flags so your analytics tools can correlate releases with user behavior changes and product metrics.
Sync bug and support ticket data from Jira into Segment user traits for customers who've reported issues. Your marketing and support tools receive enriched profiles showing which users have active bugs, historical issue volume, and resolution timelines without manual CSV exports.
When Segment captures error events or your analytics tools detect usage anomalies, Redbird automatically creates Jira issues with full event context. Engineering gets tickets pre-populated with user segments, error traces, and behavioral data without switching between systems.
Push Jira sprint metrics, cycle times, and engineering velocity data through Segment to your warehouse. Redbird calculates delivery metrics and routes them alongside product analytics so you can build unified dashboards correlating engineering speed with feature adoption.
Monitor feature adoption metrics in Segment and automatically create Jira issues when usage falls below expected thresholds post-launch. Engineering teams get alerted to low-performing features with complete usage data and affected user segments attached to each ticket.
Automatically compile customer-facing release notes from closed Jira issues in each version and push them as Segment identify traits. Your marketing tools, in-app messaging, and CRM receive structured release data for targeted communications without manual documentation.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Jira and Segment 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 both Jira's project structure and Segment's event schema, so you can connect engineering workflows to customer behavior without writing transformation logic or managing API versions.
Redbird maps Jira's custom fields, issue types, sprint boards, and version hierarchies to Segment's event properties, user traits, and group schemas automatically. The AI knows how to extract meaningful context from issue transitions, link bug reports to user segments, and structure engineering metrics as analytics events. When your Jira fields change or you add custom Segment traits, Redbird adapts the mapping without breaking existing workflows.
faster than building custom event pipelines to correlate releases with product metrics
Redbird can pull from Jira and Segment 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 Jira or Segment.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Jira into Segment, or from Segment back into Jira. 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 automations from any issue change in Jira or behavioral event in Segment, then take action across both platforms instantly.
Fires when an issue transitions to a new status like In Progress, Code Review, or Done.
Triggers when a fix version or release version is marked as released in your project.
Activates when a sprint closes, capturing all completed issues and velocity metrics.
Generate a new Jira issue with custom fields, labels, and assignees from external data.
Modify existing issue properties, priority, story points, or custom field values dynamically.
Post comments to issues with enriched data from Segment events or user behavior analysis.
Fires when Segment captures a specific track event like error, feature_used, or conversion.
Triggers when an identify call updates user traits like plan_type, account_status, or bug_count.
Activates when event volume for a specific action drops or spikes beyond normal thresholds.
Push custom events like deployment_completed or bug_resolved with full property context.
Enrich user profiles with engineering data like active_bugs, last_issue_date, or version_access.
Update account-level traits with sprint velocity, release cadence, or engineering health scores.
Sync Jira and Segment in minutes and start correlating engineering velocity with customer behavior automatically. Redbird handles the schema mapping, data transformation, and ongoing maintenance so your teams stay aligned.