Day 1: Seeing the Process and Collecting Quality Data

Simple Process Flowchart

• Define process start end and steps
• Show decisions and handoffs among people
• Identify loops causing rework or waiting
• Map process and assign step responsibility

Check Sheet and Defect Collection

• Define defect categories before recording data
• Set data collection period/location
• Use categories that prevent overlapping classifications
• Prepare/test Check Sheet on cases

Pareto and Improvement Priority

• Rank errors by frequency or consequence
• Identify category that deserves first attention
• Avoid dispersing effort across entire problem
• Build and interpret simplified Pareto chart

Day 2: Cause, Control, and Improvement Experiment

Exploring Causes Behind Recurring Defects

• Ask successive why-questions using observed facts
• Group causes by methods/tools/environment
• Select testable or observable causes
• Analyze defects and define verification evidence

Acceptance Criteria and Verification Point

• Define correct output before handoff occurs
• Place verification near error origin
• Avoid duplicate inspection without control value
• Build pre-handoff checklist with verification ownership

PDCA Experiment and Result Follow-Up

• Select change connected with suspected cause
• Measure defect levels before/after change
• Standardize change when performance remains improved
• Present improvement results and next-step follow-up

• Simple flowcharts based on processes participants already know
• Check Sheet and Pareto exercises using concise datasets
• Cause-analysis and acceptance-criteria exercises linked with defects
• A small PDCA experiment comparing results before and after change