Issue Boards
Track and manage data quality incidents with a Linear-inspired Kanban board. Create issues manually, from anomaly detection, or via the AI Pipeline Agent.
Overview
Issue Boards give your data team a structured way to track data quality incidents from detection through resolution. Issues can be created manually, automatically from anomaly detection alerts, or by the AI Pipeline Agent when it detects pipeline failures. Each issue tracks its full lifecycle with status, priority, assignee, SLA, comments, and AI analysis.
Creating an issue
- Go to Issue Boards in the sidebar
- Click New Issue
- Enter a title describing the problem (e.g. "orders table missing data for 2024-01-15")
- Set priority (P0–P4), assign to a team member, and add labels
- Optionally link to a specific table, dataset, or anomaly
- Add a description with context, affected downstream tables, and initial investigation notes
Issue statuses
Issues flow through a 5-stage lifecycle. Drag issues between columns on the Kanban board, or change status from the issue detail view:
Priority levels & SLAs
Complete data outage, pipeline producing wrong data in production, PII exposure.
Major pipeline failure, significant data freshness delay, revenue-impacting data gaps.
Degraded data quality in non-critical tables, elevated null rates, minor schema drift.
Cosmetic data issues, documentation gaps, non-urgent cleanup tasks.
Observations, feature requests, proactive improvement ideas.
The SLA Breached badge appears on issues that exceed their resolution target. The Issue Board dashboard shows SLA compliance rates across your team.
Team boards
Each team in your organization gets its own board view. Navigate between team boards using the tabs at the top of the Issue Boards page. Issues assigned to a team member automatically appear on that team's board.
Issue detail view
Click any issue to open its full detail view. Here you can see the complete history of status changes, comments from team members, linked anomalies or tables, AI analysis results, and attached files. The activity timeline shows every action taken on the issue with timestamps and who did what.
AI incident analysis
On any issue, click Analyze with AI to get a Gemini-powered assessment. The AI examines the linked table's recent history, anomaly patterns, and pipeline logs to generate a root cause analysis, impact scope (which downstream tables and dashboards are affected), step-by-step remediation instructions, and prevention recommendations. The analysis is saved to the issue for the team to review.
Comments & collaboration
Add comments to any issue to share findings, tag team members, or document investigation progress. Comments support mentions and are visible to all organization members with access to the issue board.