Bring quality to your whole team
When is the data you generate good enough for your business needs (fit-for-use)? How do you perform efficient experiments, make good decisions from your data, and get predictable scaling?
Our workshop is a collaborative working sesion to help your team answer these questions. You will develop a framework for thinking about quality in R&D, based on the conventional manufacturing quality control/assurance processes, which have transformed modern manufacturing to unparalleled reliability.
Learn how principles such as statistical process control (SPC) may also be applied to R&D, bringing similar improvements even to very early stage organizations. Understand how to reduce the frequency of inconclusive and irreproducible results by improving method stability and measurement capability.
The working session also includes practical exercises that may include your own data if desired, so that you can align on what fit-for-use means for your work and your business. Discover how to measure decision quality, so that you make the right decisions to maximize efficiency and effectiveness.
