Root cause analysis

Cause trees, evidence,
and fixes that hold.

Every part of the investigation workflow, and the reasoning behind how each one is built.

Prefer the full feature list?

01. Investigate

From the failure to the causes behind it, at the depth the failure deserves.

Opens against the machine

An investigation names its asset from the same tree every module shares, so the failure history and the machine record are one click apart.

Five whys or a full tree

A quick chain for the conveyor jam, a branching tree for the one that stopped the line. The program reads both the same way.

A canvas built for cause work

Drag causes into place, pan a big tree from the minimap, and keep the toolbar where you are working.

Field capture on a phone

The technician at the teardown photographs what they found while the part is still in their hand, and the photo lands on the investigation.

02. Act

An investigation is worth what its fixes hold.

Actions with owners and dates

Every corrective action names who owns it and when it is due, so nothing dissolves into "we should".

Closure means verified

The investigation stays open until the fixes are confirmed in service, not until the report reads well.

Evidence pinned to causes

A cause carries its support - the photo, the lab result, the document - so the conclusion holds up in front of people who were not there.

03. Prove

A conclusion someone can check is worth more than one someone remembers.

Structured review

A review step before closure, so the conclusion is agreed rather than assumed.

A report that carries the tree

The printable report holds the reasoning, the evidence, and the actions - not a summary of them.

Print gets the outline

On paper the diagram becomes an indented outline, because a scrolling canvas dies in print and an outline does not.

04. Learn

The program view, where single failures become patterns.

Bad actors, ranked

Downtime and cost rolled up by machine, so the next capital request argues itself.

Recurrence surfaces itself

The same failure on the same machine is a pattern, and the analytics say so without being asked.

Time between failures

MTBF trended, which is the number that proves whether the reliability work is working.

The fastest way to judge it is to open it.

The demo plant has this module switched on, with records already in it.