A Four-Week Online Deep Dive into the Practices and Tools
Inside the Learning Cycle
That Lead to Confident, Data-Driven Decisions
Make more efficient use of team resources.
Grow a library of reusable knowledge.
Build better knowledge for better decisions.
Capture and share knowledge
Stop hacking your way to unproven solutions.
"I have used Rapid Learning Training since 2017 and felt very comfortable with the knowledge and how to apply it. Through Advanced Certification classes, I have found deeper understanding of the principles behind the framework and how it could be tailored to fit my organization to use my
teams more efficiently."
Engineering System Manager Group Leader II
Werfen North America
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.
Video Lessons Supplemented with
Group Coaching and Discussion
Video Lessons with Unlimited Viewing
This course uses a "flipped classroom" model — the most effective teaching method for online adult learners. All core content is delivered via professional videos, with each lesson broken up into short modules that can be viewed when it is convenient for you, and reviewed as often as you like.
You will have the opportunity to get live coaching on a Knowledge Gap of your own, either from a current program or from a case study. Your peers will use the exclusive Knowledge Gap Reviewers' checklist to provide useful feedback. When you know how to write a great Knowledge Gap report, you know how to help others.
Networking with Advanced Peers
Through the classes, you'll connect with a select group of peers who are working towards similar goals with Rapid Learning Cycles in their organizations. Focused discussions will provide opportunities to share experiences and build connections that persist after the class.
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.
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.
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.