Daily Job Execution Health Monitoring & Team Alerts

Category: CS Platform - Administration & Operations
Product Area: Rule Engine, Connectors, Data Management
Priority Level: Medium

Problem Statement

Gainsight administrators currently lack a centralized, automated way to monitor the health of daily job executions (rules, connectors, job chains) and get alerted to failures or anomalies. This forces teams to manually check Gainsight logs or rely on external monitoring solutions to identify failed jobs, partial successes, and aborts.

Use Case

Our CS team runs dozens of daily jobs (rules, connectors, job chains) that sync critical customer data and drive automated workflows. When jobs fail or partially succeed, we have no native way to:

• Get a daily summary of job execution status
• Identify which jobs failed or ran with errors
• Surface anomalies automatically (e.g., unexpected abort, sudden failure rate spike)
• Route findings to the admin team for remediation

Instead, we either:

1. Manually check Gainsight execution logs daily (time-consuming)
2. Build custom integrations/scripts to monitor jobs (workaround)
3. Wait for customers to report data discrepancies (reactive, too late)

Proposed Solution

Add a Daily Job Health Dashboard & Alert System to Gainsight CS that:

Core Features:

• Health Score: Automated daily calculation of job execution health (SUCCESS %, with breakdown by PARTIAL_SUCCESS, FAILURE, ABORT)
• Daily Summary Report: Auto-generated report showing:
  • Overall health score & trend vs. previous day
  • Job status breakdown by type (connectors, rules, chains, data design, programs, etc.)
  • All non-successful jobs (failures, partial successes, aborts)
  • Anomalies (e.g., job that usually succeeds suddenly fails)
  • Recommended remediation actions
• Team Notifications: Option to email or post reports to Slack/Teams for admin teams
• Flexible Scheduling: Run daily or on custom schedules
• Historical Trending: Track health scores over time to identify patterns
• Filterable by Job Type: Option to focus on specific connectors, rules, or job chains

Admin Configuration:

• Define which jobs to monitor
• Set alert thresholds (e.g., alert if health score drops below 80%)
• Choose notification channels & recipients
• Customizable anomaly definitions

Expected Benefits

• Faster Issue Detection: Proactive identification of job failures before they impact customers
• Operational Visibility: Admins can see system health at a glance without manual checking
• Reduced Troubleshooting Time: Clear identification of failed jobs + suggested next steps
• Data Quality Assurance: Catch sync failures early, preventing downstream data issues
• Team Collaboration: Shareable reports keep all stakeholders informed

Technical Considerations

• Could leverage existing Rule Engine execution logs & connector audit trails
• Similar to application monitoring/APM patterns (health scoring, anomaly detection)
• Optional integration with existing Gainsight reporting/dashboards

Community Questions

• Are others manually monitoring job health or building custom solutions?
• What job execution visibility features would be most valuable to your team?
• Would you use this if it were available?