Workflow Monitoring

Build observability systems to track, analyze, and optimize your agentic AI workflows in production

Dashboard Design Principles

A great dashboard tells a story at a glance. It answers the question "Is everything OK?" in seconds, then provides progressively deeper detail for investigation. Information hierarchy is key.

The 5-Second Rule

A well-designed dashboard should answer these three questions within 5 seconds:

  1. Is everything healthy right now? (Status indicators, health scores)
  2. Are we trending in the right direction? (Charts showing recent history)
  3. Where should I focus my attention? (Highlighted anomalies, active alerts)

Dashboard Types

📺
Operations Dashboard

Real-time view of current system health. Displayed on team monitors. Focus: immediate issues.

Refresh: 10-30 seconds
📊
Analytics Dashboard

Historical trends and patterns. For deep analysis and optimization. Focus: long-term insights.

Refresh: Minutes to hours
🎯
Executive Dashboard

High-level KPIs tied to business goals. For leadership. Focus: outcomes and costs.

Refresh: Daily to weekly
🔍
Debug Dashboard

Detailed technical metrics. For incident response. Focus: finding root causes.

Refresh: Real-time

Design Best Practices

Most important metrics go top-left: Users read left-to-right, top-to-bottom
Use color sparingly: Green = good, Red = bad, Yellow = warning. Avoid rainbow charts.
Show trends, not just current values: A sparkline shows direction better than a number
Make dashboards actionable: Link to runbooks, logs, or related systems
Optimize for glanceability: Should be readable from across the room

Interactive: Dashboard Builder

Build your own dashboard by selecting which widgets to include. Toggle widgets on/off to customize the view:

Available Widgets

4 of 8 widgets selected

Your Dashboard

Auto-refresh: 30s

Success Rate

98.5%

Avg Latency

245ms
⚠️

Error Rate

1.5%
🔄

Active Workflows

42
💡
Pro Tip

Different teams need different dashboards. Build role-specific views: operators need real-time health, engineers need debugging details, executives need business outcomes. Don't force everyone to use the same view.

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