Video Productivity Analysis: Measure What Actually Happens
Video productivity analysis uses AI to measure what workers actually do — not what they report or what's logged in systems. From factory floors to screen recordings, VidForgeX TMA surfaces the gap between planned and actual productivity.
The productivity measurement gap
Most organizations measure productivity outputs (units produced, tickets closed, revenue generated) but cannot observe the work process itself. When output falls short of target, they lack the data to diagnose whether the problem is method inefficiency, resource constraints, procedure non-compliance, or equipment downtime. Video productivity analysis closes this gap.
What VidForgeX TMA measures
Every second of footage classified into VA, NNVA, or NVA activity. Breakdown by operator, station, and time of day.
Gaps in productive activity flagged with timestamp, duration, and frequency distribution. Distinguishes planned breaks from unplanned interruptions.
Mean, median, P90, and standard deviation of cycle times across observed repetitions. Identifies high-variance cycles as process stability risk.
Compares observed sequence of activities to the defined SOP. Flags deviations, skipped steps, and out-of-sequence operations.
Productivity metrics reference
| Metric | Formula | Typical range |
|---|---|---|
| Utilization rate | (Total time − idle time) ÷ total time | 65–85% in manufacturing |
| VA ratio | VA time ÷ total observed time | 25–40% in typical operations |
| Cycle time efficiency | Minimum observed cycle ÷ mean observed cycle | 80%+ = good consistency |
| SOP compliance score | Steps followed correctly ÷ total required steps | 90%+ target for regulated processes |
| Interruption rate | Interruption events per hour | Knowledge work: <4/hr for deep work |
Knowledge work and screen recording analysis
Screen recording analysis extends TMA to knowledge workers. Upload a Loom, Zoom, or screen capture recording and VidForgeX TMA detects: active application usage (with application names from UI context), meeting vs. solo work time, context switching frequency, idle / away periods, and workflow deviations from defined software procedures.
This is particularly valuable for onboarding quality assurance (does the new hire follow the correct system workflow?), SOP validation (does the documented procedure match what people actually do?), and remote worker productivity visibility without invasive monitoring.