Purpose
New operators often experience a steep learning curve. This playbook outlines how to incorporate Caddis data into your onboarding process to reduce variability, shorten ramp-up time, and support long-term accountability.
Outcomes
- Faster and smoother onboarding for new operators
- Standardized expectations based on real machine performance
- Improved first-time quality and reduced work
- Stronger connection between training and actual results
What Caddis Can Show a New Operator
- Real-time machine status and performance indicators
- Cycle counts and expected performance baselines
- Notes from prior shifts or operators
- PM tasks coming due on the equipment they run
Step-by-Step: Caddis-Enabled Operator Onboarding
1. Introduce Caddis During Orientation
- Walk the new hire through the Caddis dashboard and equipment views
- Explain the meaning of cycle count, run status, and alarms
- Emphasize how Caddis builds visibility and trust in production data
2. Set Baseline Expectations
- Showthe new operator historical cycle times or output expectations
- Use past Active Runs to demonstrate what "good" looks like
- Explain how tags like Operator, Part Number, and Job Number tie to output and downtime
3. Pair with a Mentor Operator
- Encourage use of Caddis to review the last completed run on a machine
- Discuss any trends or performance gaps together
- Have the mentor show how to enter notes or complete a PM task if needed
4. Use Caddis to Reinforce Good Habits
- Ask new operators to review their own run performance each day
- Have team leads pull reports on tagged runs and discuss during end-of-week reviews
- Encourage proactive tagging (e.g., "Job1234", "SetupTime") to develop data awareness
5. Close the Loop with Feedback
- Review performance using Caddis at 30-, 60-, and 90-day onboarding checkpoint
- If needed, filter Active Runs by the new operator’s tag to evaluate their improvement
- Tie feedback to both hard metrics (e.g., cycle time) and qualitative notes (e.g., troubleshooting steps entered
