Description of Course
This course, Advanced Cynefin Framework (CT-M4) master’s course, is the fourth in a series of five master-level courses. This course continues from the Cynefin Framework master course (CT-M2) and the Complex Facilitation master course (CT-M3). This course utilizes the Cynefin Framework to address complex problems and identifies different methods of moving within the Cynefin framework (complex dynamics). This course looks at Cynefin as a flow concept providing continuous dynamic patterns over time.
Duration of Training
The Advanced Cynefin Framework (CT-M4) course requires 16 hours of training and can be taken as a two-day in-person training session, an online live virtual class, or as an asynchronous self-paced online training using The Flow System’s learning management system (LMS). This course can be taught publicly or privately to any organization.
Participants must complete the training before receiving a code allowing them to take the Advanced Cynefin Framework (CT-M4) assessment for accreditation. The fee for the assessment is included in the course fee for training attendees.
At the master’s level, participants will demonstrate an ability to apply the new knowledge and complete an online assessment. The master’s level courses’ application portion will be reviewed by peers and industry experts in their chosen field.
Participants who attend the training will have two attempts at the Advanced Cynefin Framework (CT-M4) assessment. Participants who wish to forgo the training and jump straight to the assessment may do so but must first buy a code and will only have one attempt as opposed to two for people taking the training. You can buy a code below by clicking ‘Take Assessment.’
Objectives of Course
This course is structured for participants to achieve the following objectives:
- Apply the Cynefin framework to a real-world problem
- Describe techniques for transitioning through different domains
- Explain the dynamics involved in the liminal zones
- Explain the dynamics and decision points using the Cynefin framework and a real-world problem