How to measure what automation actually saves
Simple metrics that show whether a workflow is paying off.
4 min
Automation feels productive. Proving it is another matter. A few simple numbers are enough to show whether a workflow earns its place, and which one to build next.
Start with a baseline
Before you switch a workflow on, time how long the task takes by hand. Without a "before", there is no "after". Even a rough estimate from the person who does the task today is better than nothing.
Track four numbers
You don't need a complex dashboard. These four metrics answer almost every question about a workflow:
Metric | What it tells you | How to calculate it |
|---|---|---|
Runs | How much work the workflow handles | Count per week |
Time saved | The value of each run | Minutes per manual run × runs |
Success rate | How reliable it is | Runs without errors ÷ total runs |
Response time | How much faster things move | Time from request to first action |
Put it together
Here's what that looks like for a single lead-routing workflow over one month:
1,204 runs, about 300 a week
6 minutes saved per run, or roughly 120 hours a month
99.4% success rate, with failed runs retried automatically
Response time down from 4 hours to under 2 minutes
Tip: Share the numbers with the team every month. Nothing builds support for the next workflow faster than seeing what the last one saved.
Watch for the quiet failures
Speed is only half the story. A workflow that runs fast but needs a correction every tenth time isn't saving much. Track corrections per hundred runs, and compare it with the manual process.
Final thoughts
Keep the dashboard small. Three or four honest numbers will tell you more than twenty that nobody reads.
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