I’ve been researching the importance of workflow metrics. Here’s a short list of the most important metrics I’m considering:

• Execution success vs. failure rates (overall reliability).
• Average execution time (per workflow and per step/node).
• Throughput (workflows/minute or executions/day).
• Error frequency and error type distribution (identifying failing connectors, steps, or APIs).
• Resource utilization (CPU, memory, cost implications for high-volume workflows).
• Queue length / latency (how long items wait before processing).
• Retries and recovery events (resilience of workflows).
• Custom business metrics (e.g. number of invoices processed, leads captured, etc., tied to workflows).

This is quite an interesting area, definitely worth more exploration.