Analytics

Monitor your automation performance with customizable dashboards

Analytics Dashboard

The Analytics page gives you deep insights into your automation performance.

Dashboard Overview

Your analytics dashboard shows:

• Summary stats - Key metrics at a glance
• Charts - Visual trends over time
• Tables - Detailed breakdowns
• Filters - Narrow down by date, process, status

Key Metrics

Total Executions

Number of automation runs

Success Rate

Percentage that completed successfully

Avg Duration

Average execution time

Active Today

Runs in the last 24 hours

Available Widgets

Executions Over Time

Line chart showing execution volume by day/week/month.

Use it to:

• Spot usage trends
• Identify peak periods
• Track adoption over time

Success Rate

Line/area chart of success percentage over time.

Use it to:

• Monitor reliability
• Catch degradation early
• Track improvements

Failure Breakdown

Pie or bar chart of failure categories.

Use it to:

• Identify common failure types
• Prioritize fixes
• Understand root causes

Duration Distribution

Histogram of execution durations.

Use it to:

• Find slow outliers
• Understand typical performance
• Set expectations

Top Automations

Table of most-run processes.

Use it to:

• See what’s popular
• Prioritize optimization
• Track usage patterns

More Widgets

Widget	Description
Trigger Distribution	Breakdown by trigger type (manual, API, scheduled)
Recent Failures	Table of recent failed executions
Actions Per Workflow	Average number of steps per process
Endpoint Usage	API call volume by endpoint
Queue Metrics	Wait times and queue depth
Workflow Complexity	Steps vs. success correlation

Filters

Narrow your analytics view:

Filter	Options
Date Range	Last 7 days, 30 days, 90 days, custom
Granularity	Hourly, daily, weekly, monthly
Process	All or specific process
Trigger Type	Manual, API, scheduled
Status	All, success, failed

Customizing the Dashboard

Arrange widgets to your preference:

1. Enter Edit Mode

   Click Customize in the top right

2. Drag and Drop

   Move widgets to rearrange them

3. Add/Remove Widgets

   Click + to add new widgets or × to remove

4. Save Layout

   Click Save to keep your arrangement

Your dashboard layout is saved per-user. Team members can have their own arrangements.

Understanding the Data

Execution Metrics

Metric	Definition
Total Executions	Count of all runs (successful + failed + cancelled)
Success Rate	(Successful / Total) × 100
Failure Rate	(Failed / Total) × 100
Avg Duration	Mean execution time across all runs
P95 Duration	95th percentile execution time

Failure Categories

Category	Description
Element Not Found	UI element couldn’t be located
Timeout	Action exceeded time limit
Connection Lost	Driver disconnected
User Cancelled	Manually stopped
Script Error	RPA code exception
Unknown	Unclassified error

Interpreting Charts

Healthy Patterns

• Steady or increasing success rate - Things are working well
• Consistent execution times - Predictable performance
• Spread of trigger types - Good adoption

Warning Signs

• Declining success rate - Something’s breaking
• Increasing durations - Performance degradation
• Spike in failures - Recent change caused issues

Exporting Analytics

Export data for external analysis:

1. Click Export in the top right
2. Choose format: CSV or JSON
3. Select date range
4. Download

API Access

You can also fetch analytics via API:

curl "https://api.getgranite.ai/api/analytics/batch" \
  -H "Authorization: Bearer your-token" \
  -H "Content-Type: application/json" \
  -d '{"timeRange": "7d", "granularity": "daily"}'

See the API Reference for details.

Analytics Tips

Check analytics regularly

Make it a habit to review analytics weekly. Catch issues before they become problems.

Set baseline expectations

Know what “normal” looks like for your automations. Then you’ll notice when things change.

Drill into failures

Don’t just note that failures increased. Click through to the actual failed runs and understand why.

Compare periods

Use date range filters to compare this week vs. last week, or this month vs. last month.

Next Steps

Run Logs

See individual executions

Troubleshooting

Fix common issues