Examples
See Oppr in Action
Real scenarios showing how human observations change outcomes. Each example shows what happens with and without the ability to capture and correlate operator knowledge.
The Bearing That Sounded Different
The Situation
A production line bearing is beginning to fail. The degradation is gradual—vibration sensors show readings within normal range, but trending upward. An experienced operator notices the bearing sounds ‘higher-pitched than normal’ during her shift.
Operator Maria notices unusual sound. Mentions it to colleague at shift change.
Different operator on shift. No awareness of previous observation.
Vibration readings increasing but still within spec. No action taken.
Bearing fails catastrophically. Line down for emergency repair.
€55,000 in repairs + lost production
Maria voice-logs: ‘Bearing on Line 3 sounds higher-pitched.’ 20 seconds.
Observation visible to all shifts. Maintenance adds to watch list.
IDA correlates rising vibration trend with Maria’s observation. Flags pattern.
Bearing replaced during scheduled maintenance window.
€800 planned replacement. Zero downtime.
The Key Insight
Human senses detected the problem before sensors could measure it. The difference wasn’t whether the observation happened—it was whether the observation was captured and connected.
The Pattern
What These Examples Have in Common
The Knowledge Existed
In every case, someone knew something valuable. The information was there—in an operator's head, in their senses, in their experience.
The Connection Was Missing
Without capture and correlation, valuable observations stayed disconnected from the data systems that could have acted on them.
The Cost Was Significant
Lost production, repeated investigations, knowledge walking out the door. The cost of uncaptured knowledge compounds over time.
The Solution Was Simple
Effortless capture is the key. The technology doesn't need to be complex—it needs to be so simple that using it takes less effort than not using it.