A Four-Week Online Deep Dive into the Practices and Tools
Inside the Learning Cycle
That Lead to Confident, Data-Driven Decisions
Empower your Scientists, Engineers, Designers and Product Managers to build the knowledge needed to make better decisions the first time.
This series, consisting of four one-hour online classes will help your teams close their knowledge gaps rapidly, effectively and completely — giving your decision makers the knowledge needed to make data-driven Key Decisions.
We built this online class to give you the skills and tools you need for immediate success.
Real Time Coaching on Your Active Knowledge Gaps
with Two Options
Live sessions feature "Hot Seat" coaching with an experienced coach who can help you improve your approach to your Knowledge Gaps, from defining the question to writing the report for your decision makers. You may choose any Knowledge Gap that you can share with your classmates, and we will provide a case study if you are not able to share anything from your own work.
You can opt for Private Email Feedback for confidential coaching on active Knowledge Gaps from your organization. We will sign an NDA if needed so that we can work together on real Knowledge Gaps from your active program. Your registration includes confidential feedback on five Knowledge Gap Reports over three months following the conclusion of the live sessions.
7 am PDT
8 am MDT
9 am CDT
10 am EDT
Who Should Attend This Online Class?
In a Rapid Learning Cycles program, anyone can be the owner of a Knowledge Gap. This class would be especially valuable for:
This class will be especially valuable for anyone who mentors other team members around how to close Knowledge Gaps and write Knowledge Gap Reports. The coaching methods used in the class will be leverageable to the situations where you need to coach others.
Close Knowledge Gaps
The Knowledge Gap Question and Purpose Statement
It's hard to close a Knowledge Gap that's vague, fuzzy or just not the right question. We'll describe how to write a clear, crisp question and define its purpose to guide you the rest of the way.
Four Types of Knowledge Gaps and How to Close Them
The learning activities you need depend upon the type of Knowledge Gap you have. We'll cover the types of Knowledge Gaps that show up in Rapid Learning Cycles programs and the best practices for closing each type.
PDCA Sheets to Drive Rapid, Effective Experimentation
Rapid PDCA cycles make your experimentation more efficient and effective without adding a lot of overhead. We'll show you how to use a PDCA Sheet to spin rapid cycles of experimentation that build knowledge quickly, and apply in technical, customer and business contexts.
Visual Modeling to Support Better Decision Making
Your Knowledge Gap report is the tool you will use to share your new knowledge with your team and decision makers. Good visual models make it easier to tell the story that's found in your data so that others can see the patterns in the data that you see. We'll cover best practices for building and using visual models that support better decisions.
Accelerate a Mission Critical Program
with Private Email Feedback
When you sign up for the Private Email Feedback option, you will receive confidential coaching on the five most important Knowledge Gaps in your program right now.
Work on real Knowledge Gaps - not class exercises. We'll work with you to get the NDAs in place so that you can get coaching on the knowledge you're building for your current program.
By reviewing a sampling of Knowledge Gaps, we can identify common patterns and give customized recommendations.
To take advantage of this, select the "Private Email Feedback" option below.
Your Instructor: Kathy Iberle
You’ll have the opportunity to work directly with Kathy Iberle, the first person certified as a Rapid Learning Cycles Certified® Advisor, who has been an affiliate with Rapid Learning Cycles Institute from the beginning.
Kathy has a strong interest in effective problem-solving methods that drive data-driven decision making, and she played a key role in developing these aspects of the Rapid Learning Cycles framework.
Kathy’s background is in mixed hardware/software engineering with a focus on quality engineering. She has worked with a wide range of products – everything from printers to early web applications to cardiology and scientific instruments. In the course of her adventures in the high-tech world, she’s developed or improved many types of development processes for teams both large and small.
Kathy lives in Vancouver, Washington where she runs her own consulting business and enjoys hiking, camping, and snowshoeing in her spare time.