https://my.asq.org/events/event-description?CalendarEventKey=1cb9569a-dbe9-4909-8d33-019b2284b032
Date: 26 Feb 2026; Thursday 5:45 pm to 7:00 pm US-MT
5:45 pm Web Conference Start: Networking, Welcome and Section Business
6:00 pm Presentation Started
· Speaker: Jay Arthur, QI Macros https://www.qimacros.com/
· Topic: Agile Lean Six Sigma - Hacking Lean Six Sigma for Results
· NOTE: Recording (70 MB) and slides (3.0 MB) only access via ASQ National Membership
· NOTE: Non-ASQ Members to get slides please contact Arnold Miller via amiller@memberleader.asq.org
· Presentation Recording and sides at https://my.asq.org/viewdocument/2026-02meeting-agile-lss-hacking-fo
· Non-ASQ Members Webex AI Summary at https://my.asq.org/blogs/arnold-miller/2026/02/27/boulder-feb-2026-meeting-agile-lean-six-sigma-hack
6:55 pm Presentation Ended
7:00 pm Web Conference End: meeting over
References: via QI Marcos web site https://www.qimacros.com/
· Lean Six Sigma Free Yellow Belt
· Lean Six Sigma Blog
· Lean Six Sigma training
· Lean Six Sigma resources
· Lean Six Sigma Excel Templates
· Free 30-day QI Macros trial
· Lean Six Sigma Webinars
· Upcoming QI Macros webinar:
· Upcoming Healthcare Data Analytics webinar:
· PDF Book https://www.qimacros.com/pdf/Agile-Lean-Six-Sigma.pdf
Please send presentation comments to Jay Arthur at email knowwareman@qimacros.com with subject “ASQ Boulder talk: Agile LSS For Hacking Results”
AI Summary Notes
· The meeting emphasized the need for simplified, agile training and data-driven approaches to enhance quality improvement and efficiency in service industries.
· Agile Lean Six Sigma aims to simplify quality improvement processes for faster results.
· Traditional training methods are too lengthy and complex for modern work environments.
· Most employment now lies in service industries, not manufacturing, requiring adapted quality tools.
· Minimally invasive training can effectively empower employees to solve uncomplicated problems quickly.
· Data-driven approaches and control charts are essential for sustaining quality improvements in organizations.
· A focus on raw data reveals hidden opportunities for significant cost savings and efficiency gains.
· Focus on data-driven decision-making to identify and address defects effectively.
· Emphasize agile training for small teams to enhance productivity and engagement.
· Highlight the importance of reducing variation to improve customer satisfaction and operational efficiency.
· Advocate for modern software tools to simplify Six Sigma processes and calculations.
DONE