Track performance
Measure run volume, success rates, duration, and workflow health.
Analytics
Measure the impact of your automation program
Understand workflow usage, success rates, time savings, failure patterns, and operational impact so teams can improve what they automate next.
Core Capabilities
What this feature helps your team do
Find optimization opportunities
Identify workflows that save time, fail often, or need tuning.
Share automation outcomes
Give stakeholders evidence of operational improvement.
Automation intelligence
Make automation decisions from real usage data
Analytics helps teams see which workflows are valuable, which ones need attention, and where the next automation opportunity is.
- Execution volume trends
- Success and failure rates
- Workflow duration metrics
- Stakeholder-ready reporting
How It Works
A practical path from setup to production
Collect run data
Every workflow execution contributes operational context.
Review performance
Compare success, failure, duration, and volume.
Spot patterns
Find bottlenecks, repeated failures, and high-value workflows.
Improve the program
Use insights to prioritize fixes and new automations.
Common Use Cases
Where teams use Analytics
Automation ROI reporting
Workflow reliability reviews
Team adoption tracking
Process bottleneck analysis
Analytics questions
Clear answers about how this capability fits into real workflow automation.
Analytics can show workflow usage, performance, reliability, and operational impact.
Yes. Data on failures, volume, and duration can show where improvements matter most.
Yes. Reports help communicate the value of automation to operations, leadership, and business teams.
Monitoring focuses on current and recent run health. Analytics focuses on trends, impact, and program-level decisions.
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