TeamOnTrack icon
TeamOnTrack icon

TeamOnTrack

AI-powered Slack nudges that catch stuck PRs, stale tickets, and workflow bottlenecks so engineering managers stop chasing their team.

Real-time view of detected workflow issues: stuck PRs, stale statuses, missing descriptions. Ready for Slack nudges.

Cost / License

  • Subscription
  • Proprietary

Application type

Platforms

  • Software as a Service (SaaS)
  • Online
Example Signals.
Configure signal detection rules and their thresholds.
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AI auto-categorizes work by strategic initiative. Track progress toward business outcomes.
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Features

Properties

  1.  AI-Powered

Features

  1.  Reminders
  2.  Dark Mode
  3.  Team Collaboration
  4. Slack icon  Slack integration
  5. GitHub icon  GitHub Integration
  6. JIRA icon  Jira integration
  7.  Workflow Automation

 Tags

TeamOnTrack News & Activities

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TeamOnTrack information

TeamOnTrack was added to AlternativeTo by Team On Track on and this page was last updated .
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Official Links

What is TeamOnTrack?

TeamOnTrack is a software development workflow guidance tool that replaces dashboards nobody looks at with smart Slack nudges that actually get acted on.

Engineering managers spend hours every week manually following up on stalled PRs, outdated Jira statuses, and work items piling up. TeamOnTrack automates this by detecting issues in real-time and sending targeted notifications to the right person.

Key capabilities:

  • Detects PRs sitting too long without review
  • Flags stale Jira statuses that don't reflect reality
  • Identifies work items missing descriptions or parent links
  • Alerts when engineers have too much WIP
  • Spots bottlenecks and suggests who could help with code review based on workload
  • Daily team summaries

What sets it apart:

  • Smart nudges instead of dashboards—actionable Slack messages replace reports that become shelf-ware
  • Zero-config setup with Jira and GitHub
  • AI auto-categorization of estimates, impact, and business domains
  • Pattern interpretation that understands context, not just raw metrics

TeamOnTrack Videos