Participate

Our Success Depends on You

First of all, rather than last, I would like to thank in advance any and all who agree to contribute their knowledge, experience and time to the success of this project. You will receive full attribution (and subsequent kudos and deepest thanks) for all submissions. Above all, your assistance will help fellow lean leaders and change managers save time and eliminate wasted effort, which is at the heart of what lean initiatives are all about.

Stage One

At the outset, like any research project, the first step is to cast a wide net and see what we haul in. I’m going to be reaching out to lean experts and practitioners who I know–and people who they know–for ideas, analysis, intelligence and tools that will help managers justify, defend and promote their lean initiatives. If you’ve read this far, I invite you to participate and share what you’ve learned. Please don’t hesitate to send me a note, david@leanroi.org, and share how you might be able to contribute.

Value Add

This is where the accumulated knowledge of the lean community comes together. We need your help identifying sources and potential sources for case studies, interviews, and individual submissions. Specific content will include:

• Lean ROI case studies
• Lean expert and lean practitioner interviews
• Contributed analysis and commentary

Deadline

With so much great dialog about tools, challenges and tips in the lean blogosphere these days, going narrow and deep on one topic is like mining a particularly promising vein of rock. The intent of this research project is to pick out the highest potential value ideas and practices about how to plan for, document, communicate and sustain the ROI of your lean initiatives. Eventually that vein will be played out.

Breadth and depth

To be relevant and have a broad impact, this research needs to reflect both the lean ROI lessons learned in manufacturing, as well as its adoption in other sectors. It needs to reflect strategic planning activities and events in targeted work areas. The more diverse our sample set, the higher the value the research will be to a broad audience. Some examples include: