Module 8 · Lesson 21 of 29
A3 data analysis and team composition
Learning objectives
- Explain the purpose of a3 data analysis and team composition in garment operations.
- Describe when and how to apply a3 data analysis and team composition on the shop floor.
- Identify common mistakes and how to avoid them.
Core idea
A3 evidence must answer the decision with appropriate time plots, Pareto, stratification, maps and cause validation; team membership follows the work.
Method
Define unit/denominator; show current versus target; distinguish fact/inference; include process owner and affected people; manage conflicts. More charts do not mean stronger logic.
Garment-factory example
Include washing operator, lab, chemical store, maintenance, quality, planning and technical roles for shade variation.
Method
- Define unit/denominator;
- show current versus target;
- distinguish fact/inference;
- include process owner and affected people;
- manage conflicts
Common mistakes
- More charts do not mean stronger logic
Knowledge check
Pick one answer per question. Explanations appear after you submit.
1. Which statement best captures the core idea of A3 data analysis and team composition?
2. A common mistake when applying a3 data analysis and team composition is to:
Author: Sanjeewa Dehiwalage · Last reviewed: 2026-07-21