Deming Quality Management Analysis

Problem

When restaurant or business operations show quality issues, process variation, or repeated improvement cycles, teams often set targets by intuition instead of analyzing system causes. This skill frames Deming quality management, PDCA, SPC, and process optimization into one workflow, helping analysts move from background data to root-cause analysis rather than reacting to individual incidents or temporary metrics.

How It Works

The skill follows four steps:
- Define the problem: extract the core question from context, metrics, and constraints
- Match frameworks: load relevant references for core method, application, and advanced techniques
- Prioritize actions: output Top 3 actions with owner, task, and expected timeline
- Ship and review: use the checklists and analysis templates in assets/, and set 2-4 week review checkpoints

Output is data-first: every conclusion should include key numbers where possible, and assumptions must be labeled when data is missing. The structure starts with diagnosis, then priority actions, then fillable templates.

Boundaries

It fits quality management, continuous improvement, process optimization, and systems thinking tasks, especially when baseline operational data exists. It is not a real-time ERP, inventory, or finance system; conclusions can become methodological when data is sparse. For quantitative work, pair it with scripts/ or external data tools for verification.