Logical Problem Solving

Logical Problem Solving is a foundation level course using an organized methodology and logic tools to:

• Define the issue to be addressed
• Identify the root cause
• Develop solutions/countermeasures to address the root cause
• Implement robust actions to prevent recurrence.

After training, participants will be able to apply the tools to issues they address and be strong contributing members of problem-solving teams.

The target audience is all levels and roles in an organization.  No prerequisites are required.

The course uses lectures, examples, and exercises to facilitate understanding and provide practice with the methodology.  Participants are encouraged to have an identified issue to which they will apply the learnings immediately after training.

The course is designed to be delivered to a group of students from a single organization.  Optimal group size is 10-20 participants.  Open enrollment classes for individuals do not exist at this time.

Course Details:

Logical Problem Solving is delivered in two 6 hour in-person or three 4 hour virtual sessions.  The sessions can be run on sequential days or spread out to allow participants to apply the first stages of the methodology to their own issues between training sessions.

Foundation level courses achieve much more than awareness of a topic without the time commitment and detail of longer practitioner level training.  This course is applicable to all levels and roles of an organization.  Participants will be able to solve simple to intermediate complexity problems by applying the method themselves.  They will also be able to be productive contributors to more complex projects led by an experienced practitioner.

Course Structure

• Introduction – what is Problem-Solving?
  • Problem-solving definition and structure
  • Change management
  • Example introduction – single issue used throughout the course
• Define – choosing the right problem to solve
  • Decision Tree to identify problem-solving scope
  • Team selection criteria
• Measure – getting to a clear definition of the problem
  • Operational Definition – object, deviation, location, timing, trend
  • Is/Is not description
  • Containment – protect the customer and the business
• Analyze – determining the root cause(s)
  • Data collection and organization
  • Cause and effect diagram
  • Root cause tree
  • 5 Whys
  • Change How testing of root cause
• Improve – defining and implementing countermeasure(s)
  • Generating solution options
  • Decision-making matrix for solution selection
  • Risk management
  • Implementation plans
  • Control methods and plans
• Control – sustaining the improvement
  • Process and Results analysis
  • Updating standards and documentation
  • Second time 5 Whys – addressing the systemic cause(s)
  • Replication – where else to apply the solution

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