Process mining that turns your existing event logs into BPMN diagrams + bottleneck heatmaps in hours.

The problem

Engineering leaders sense their teams are slow but can't pinpoint where the time goes. Dashboards show velocity, throughput, and cycle time — but not the wait between stages. The bottleneck is almost always a specific transition (code review, QA scheduling, design handoff) and dashboards don't surface which. Process mining is the right diagnostic; Celonis is the wrong purchase scale for most.

How Stride solves it

Stride's Optimize module reads event logs from your tracker (Stride internal, Jira import, or CSV upload), auto-generates a BPMN diagram of the actual process flow, and produces a bottleneck heatmap colouring each transition by wait time vs work time. The red transitions are your bottlenecks. Most teams find a 3-day average wait at one transition in their first 20 minutes with the tool.

• Auto-generated BPMN diagrams from event logs (no manual modelling)
• Variant analysis: what % of cases follow the dominant path vs deviations
• Bottleneck heatmap: red = wait-heavy, blue = work-heavy
• AI-suggested interventions per bottleneck (auto-assign reviewers, tighten AC, prune stale backlog)
• Process simulation: what-if scenarios for proposed interventions
• Time-window comparison: this quarter vs last to track improvement

Frequently asked