dmaic-improve

Generate, select, and validate DMAIC Improve-phase solutions against baseline metrics.

Updated Mar 14, 2026
One-click install
npx skills add https://github.com/jcg-admin/IACT-ui --skill dmaic-improve-jcg-admin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dmaic-improve
Source: https://github.com/jcg-admin/IACT-ui/tree/main/.claude/skills/dmaic-improve
Command: npx skills add https://github.com/jcg-admin/IACT-ui --skill dmaic-improve-jcg-admin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve? Teams often jump from root cause analysis straight to implementing a favorite solution without evaluating alternatives, assessing failure risks, or statistically proving the improvement worked. This Skill structures the DMAIC Improve phase so solutions actually address validated root causes and the improvement is confirmed with data. ## Core Features & Use Cases - Solution Generation & Selection: Produces multiple alternatives per root cause and classifies them on an Impact × Effort quadrant, with a Lean tools catalog (5S, Kanban, SMED, Jidoka, Heijunka, MUDA elimination) for waste-related causes. - Risk Assessment with FMEA: Scores failure modes using Severity × Occurrence × Detection to compute RPN, with mandatory preventive actions for RPN > 200 before any pilot. - Pilot Design & Statistical Validation: Guides pilot vs full rollout decisions, controlled pilot execution, and before/after comparison using t-tests, chi-square, F-tests, and Sigma Level deltas. - Use Case: After Analyze confirms that manual address entry causes delivery errors, use this Skill to evaluate solution options, run an FMEA on the chosen fix, pilot it on one route, and validate the DPMO reduction with a two-proportion test. ## Quick Start Ask the assistant to run the DMAIC Improve phase for your project using the confirmed root causes from your dmaic-analyze artifact.

Frequently Asked Questions about dmaic-improve

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run the Improve phase in a DMAIC project?▼

Start with confirmed root causes from Analyze, generate multiple solution alternatives per cause, classify them on an Impact × Effort quadrant, run an FMEA on the selected solution, then pilot it and validate the improvement statistically against the Measure baseline.

What is FMEA and how is RPN calculated?▼

FMEA (Failure Mode and Effects Analysis) evaluates what could go wrong before implementing a solution. RPN equals Severity times Occurrence times Detection, each scored 1-10; values above 200 require mandatory preventive action before piloting.

When should I use a pilot instead of full implementation?▼

Use a pilot when the solution is new or unproven, when any FMEA mode has RPN above 100, when error costs are high, or when root cause confidence is moderate. Full rollout is acceptable only for validated solutions in low-risk, non-critical processes.

Which Lean tools apply to process waste problems?▼

5S addresses disorganization and search waste, Kanban limits work-in-progress, SMED reduces setup times, Jidoka catches defects automatically, Heijunka levels variable demand, and MUDA elimination removes non-value-added activities.

How do I statistically validate an improvement in DMAIC?▼

Compare post-improvement data against the Measure baseline using a two-sample t-test for means, chi-square for proportions, or F-test for variances, requiring p < 0.05. Also compute the new Sigma Level and confirm control CTQs show no regression.

When should I not use the DMAIC Improve step?▼

Skip it when root causes are not yet statistically confirmed, when the solution was decided without analysis, or when the solution scope exceeds the project charter. Implementing without validated causes is guessing, not DMAIC.