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

Celonis is great. It also starts at $200K/year. For most software-delivery teams, the diagnostic value of process mining (finding where lead time is actually being spent) doesn't require enterprise BI. Stride mines your Jira/Linear/Stride events into BPMN diagrams and bottleneck heatmaps in one day.

Why is enterprise process mining priced beyond most teams?

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.

Can Stride mine BPMN diagrams from the event logs you already have?

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

Best for

Engineering organisations (50+ people) where leadership wants to find specific bottlenecks worth fixing, not just track aggregate metrics.

Not for

Highly regulated industries needing auditable process compliance evidence (Fortune-100 finance, healthcare). Celonis is the right tool there. Also not the right fit if your process has zero variance. Process mining is for cases with deviations to analyse.

Frequently asked

What event log format works?

Standard: case_id, activity, timestamp, resource. CSV upload accepts this. Stride-internal events feed directly with no setup. Jira import via OAuth pulls state transitions and assignments. GitHub import (if connected) feeds PR open/review/merge events.

Can I mine non-engineering processes (HR onboarding, customer support)?

Yes, if you can produce the event log. Anything with case-level state transitions in a database is mineable. Stride's primary use case is software delivery, but the underlying BPMN engine is generic.

How does the AI-suggested intervention work?

For each bottleneck, the model looks at the variance pattern and suggests interventions used by other teams who solved similar bottlenecks. Code-review wait → auto-assign on file ownership. Long backlog dwell → quarterly pruning. The suggestions are starting points; the team decides.

How long to first useful diagram?

Hours. Connect or upload your event log, pick a case type (story / PR / sprint), let the auto-generator run. The first useful insight is typically visible within a one-hour session.