You Know WHO Worked.
Not WHAT Happened.
Rhumbix tells you 8 electricians worked 10 hours each on Tuesday. It doesn't tell you they spent 3 hours waiting for material and hit a design conflict. You have time stamps. You don't have a story.
From Time Stamps to Project Intelligence
Day 1: Hours logged, no context
8 electricians, 10 hours each. 80 labor hours recorded. But what did those 80 hours accomplish? Your time tracking system has no idea.
Day 2: No explanation for anomalies
Overtime spiked 40% this week. Why? Material delay? Design change? Safety stand-down? Time cards can't tell you.
Day 30: Data rich, insight poor
You have 30 days of time data. Thousands of labor hours tracked. But you still can't answer: "Which crews are most productive? What causes overtime? Are we on track?"
How POD Adds the Missing Context
Foreman speaks about crew activities for 60 seconds
"Had 8 electricians today. 6 on the panel room, finished conduit runs on Level 3. Two guys waited 2 hours for the lift. Safety walk was clean."
AI extracts time AND context simultaneously
Crew count: 8 electricians. Activities: conduit runs L3, panel room. Equipment: 2hr lift delay. Safety: clean walk. All structured, all searchable.
Combined data generates true labor intelligence
Cost per activity. Productivity by crew and conditions. Overtime root causes. Equipment wait time impact on labor. KPIs time cards alone can never produce.
Time Data + Context = Intelligence
What Time Tracking Captures
What Daily Reports Add
From Time Stamps to Project Intelligence
KPIs that only work when time data meets daily context.
Labor Cost Tracking
Apprentice Ratio
Key Features
Voice Captures Time AND Context
One 60-second report provides labor hours AND what those hours accomplished.
True Labor Intelligence
Cost per activity, productivity by crew, overtime root causes — KPIs time cards alone can't produce.
Apprentice Ratio Compliance
Automatically tracks apprentice-to-journeyman ratios by trade from voice reports.
AI Overtime Analysis
AI identifies patterns in overtime causes — material delays, design changes, weather — and predicts future spikes.
“We had 6 months of Rhumbix time data but couldn't explain why productivity dropped 20%. POD showed us it was material wait times. We fixed it in a week.”
— Project Controls Lead, Industrial Contractor
Frequently Asked Questions
Stop Tracking Time. Start Tracking Progress.
See what labor intelligence looks like when hours meet context.
Why Teams Switch to POD