Learning analytics
See where the procedure breaks down on the floor
Every step completion is logged. Analytics surface the steps where workers hesitate, slow down, or skip. Training leads can act on data instead of guessing.
Step 6 is where new starters pause
Sample data, Northfield Foods. Review the step or add a note.
Flagged · review step 6
How it works
From step completion to targeted training
Every step completion is logged
Each time a worker confirms a step in the glasses, the completion time, worker identity, and procedure context are recorded automatically.
Analytics surface hesitation patterns and skip rates
The analytics dashboard shows which steps take longer than expected, which steps are skipped most often, and how performance changes over time and across workers.
Training lead targets the specific step causing delays
Instead of scheduling a full procedure refresher, the training lead can address the one or two steps where workers consistently struggle.
Invisible training gaps
Training managers have no view into where procedures fail
Most training programs measure completion: did the worker finish the course? They do not measure execution: did the worker perform the step correctly on the floor, shift after shift?
- Training completion records show course pass rates, not on-the-job execution quality.
- When a quality event occurs, there is no data to show whether it was a knowledge gap or a process gap.
- Training leads cannot prioritize refresher training without knowing which steps cause the most errors.
- New workers on their first solo shifts have no support, and no one can see where they struggle.
Analytics capabilities
Data that makes training decisions specific
Step-level completion data
See completion times and confirmation rates for every individual step across every procedure run, not just overall pass or fail.
Hesitation and skip rate analysis
Steps where workers pause longer than expected or skip to the next step are flagged automatically, surfacing the friction points in your procedures.
Procedure performance over time
Track how completion times and error rates change as workers gain experience with a procedure, and spot regressions when they occur.
Identify training gaps
Compare step-level performance across workers, shifts, and lines to find where targeted retraining or procedure revision will have the most impact.
Export for LMS
Export completion data in a structured format for import into your learning management system or workforce development records.