Process mining from event logs

What it works from

• An event log with case id, activity, timestamp and resource
• Confirmation of what a case represents
• Any SLA or target cycle times

What you get back

• Computed activity volumes and log profile
• Bottlenecks, rework loops and variant paths with root-cause hypotheses
• Charts and a capacity-gain estimate per issue

Why this is expensive by hand

In operations & process work, process mining from event logs is one of those tasks that looks straightforward until you are three documents deep and the details stop agreeing with each other. In practice it shows up as bottleneck diagnosis: find where cases actually wait using the log rather than the process diagram. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 1–2 weeks of capacity for it.

How this Skill produces it

Here the same job runs as a Skill. Your material goes in; computed activity volumes and log profile comes out, alongside bottlenecks, rework loops and variant paths with root-cause hypotheses. The criteria, ordering and review points that make the answer trustworthy are encoded in the Skill itself — which is the difference between a structured method and a prompt someone pastes in. Net effect: 1–2 weeks down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.