Problem-Solving Training Course
Problem-Solving training using Root Cause Analysis & 8D methods covering analytical thinking, decision-making, and creative solutions for excellence.
Course Title
Problem-Solving
Course Duration
2 Days
Competency Assessment Criteria
Practical Assessment and Knowledge Assessment
Training Delivery Method
Classroom (Instructor-Led) or Online (Instructor-Led)
Service Coverage
Saudi Arabia - Bahrain - Kuwait - Philippines
Course Average Passing Rate
99%
Post Training Reporting
Post Training Report(s) + Candidate(s) Training Evaluation Forms
Certificate of Successful Completion
Certification is provided upon successful completion. The certificate can be verified through a QR-Code system.
Certification Provider
Tamkene Saudi Training Center - Approved by TVTC (Technical and Vocational Training Corporation)
Certificate Validity
2 Years (Extendable with additional training hours)
Instructors Languages
English / Arabic / Urdu / Hindi / Pashto
Training Services Design Methodology
ADDIE Training Design Methodology
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Course Overview
This comprehensive Problem-Solving training course equips participants with essential knowledge and practical skills required for identifying problems systematically, analyzing root causes effectively, and developing innovative solutions that address organizational challenges. The course covers fundamental problem-solving principles along with advanced techniques for structured analysis, creative thinking, decision-making, and solution implementation to enable professionals to tackle complex issues, make informed decisions, and drive continuous improvement.
Participants will learn to apply proven methodologies including Root Cause Analysis (RCA), 5 Whys technique, Fishbone Diagram, PDCA Cycle, Six Thinking Hats, and A3 Problem-Solving to systematically define problems, investigate causes, generate alternatives, evaluate options, and implement sustainable solutions. This course combines theoretical concepts with practical applications and real-world case studies to ensure participants gain valuable skills applicable to their professional environment while emphasizing analytical thinking, creativity, collaboration, and results-oriented approaches.
Key Learning Objectives
Understand fundamental problem-solving concepts and frameworks
Apply structured problem-solving methodologies systematically
Identify and analyze root causes effectively
Generate creative and innovative solutions
Make sound decisions using analytical tools
Implement solutions and monitor effectiveness
Work collaboratively in problem-solving teams
Foster continuous improvement mindset
Group Exercises
Problem-solving simulation including (analyzing complex problem, applying structured methodology, developing solutions)
Root cause analysis workshop including (using 5 Whys technique, creating fishbone diagram, validating root causes)
Knowledge Assessment
Technical quizzes on problem-solving concepts including (multiple-choice questions on methodologies, matching exercise for analytical tools, framework identification)
Scenario-based assessments including (analyzing problem situations, recommending approaches, solving challenges)
Tool application exercises including (creating fishbone diagrams, conducting Pareto analysis, using decision matrices)
Critical thinking evaluation including (assessing logical reasoning, identifying assumptions, evaluating arguments)
Course Outline
Introduction to Problem-Solving
Problem-solving definition including (issue identification, analysis, solution development)
Problem-solving importance including (performance improvement, efficiency enhancement, innovation driver)
Problem types including (simple problems, complex problems, wicked problems)
Problem-solving approaches including (reactive problem-solving, proactive problem-solving, preventive thinking)
Problem-solving skills including (analytical thinking, creative thinking, critical thinking)
2. Problem Identification and Definition
Problem recognition including (symptom identification, issue awareness, opportunity recognition)
Problem definition including (problem statement, scope clarification, objective setting)
Problem versus symptom including (underlying issue, surface manifestation, distinction importance)
Problem framing including (perspective, boundaries, stakeholder impact)
Data collection including (information gathering, fact verification, evidence collection)
3. Structured Problem-Solving Process
Problem-solving steps including (definition, analysis, solution generation, evaluation, implementation, review)
PDCA Cycle including (Plan, Do, Check, Act)
A3 Problem-Solving including (background, current condition, analysis, countermeasures, implementation plan)
Eight Disciplines including (team formation, problem description, containment, root cause, corrective actions, verification, prevention, recognition)
Process discipline including (systematic approach, thoroughness, documentation)
4. Root Cause Analysis Techniques
Root cause importance including (problem elimination, recurrence prevention, sustainable solutions)
5 Whys technique including (iterative questioning, cause drilling, root identification)
Fishbone Diagram including (Ishikawa diagram, cause categories, visual analysis)
Cause and effect analysis including (causal relationships, contributing factors, primary causes)
Root cause validation including (evidence verification, testing hypotheses, confirmation)
5. Data Collection and Analysis
Data types including (quantitative data, qualitative data, observational data)
Data collection methods including (surveys, interviews, observations, measurements)
Data organization including (sorting, categorization, prioritization)
Data analysis techniques including (statistical analysis, trend analysis, pattern recognition)
Data visualization including (charts, graphs, process maps)
6. Analytical Thinking Tools
Pareto Analysis including (80/20 rule, vital few identification, prioritization)
Process mapping including (flowcharts, value stream mapping, process visualization)
Gap analysis including (current state, desired state, gap identification)
Force field analysis including (driving forces, restraining forces, change planning)
Failure Mode Effects Analysis including (potential failures, severity assessment, risk prioritization)
7. Creative Problem-Solving
Creativity importance including (innovation, breakthrough solutions, competitive advantage)
Brainstorming including (idea generation, judgment suspension, quantity focus)
Six Thinking Hats including (white hat facts, red hat emotions, black hat caution, yellow hat benefits, green hat creativity, blue hat process)
Lateral thinking including (perspective shift, unconventional approaches, assumption challenging)
Mind mapping including (idea connection, visual thinking, concept expansion)
8. Solution Generation and Innovation
Solution generation techniques including (brainstorming, brainwriting, reverse thinking)
Innovation approaches including (incremental innovation, breakthrough innovation, disruptive thinking)
Idea evaluation including (feasibility assessment, impact evaluation, resource consideration)
Solution criteria including (effectiveness, efficiency, sustainability, acceptability)
Combining ideas including (synthesis, integration, hybrid solutions)
9. Decision-Making Process
Decision-making steps including (define decision, gather information, identify alternatives, weigh evidence, choose, take action, review)
Decision-making styles including (rational decision-making, intuitive decision-making, collaborative decision-making)
Decision criteria including (priority setting, weighted factors, trade-off analysis)
Decision tools including (decision matrix, decision tree, cost-benefit analysis)
Decision quality including (information adequacy, bias avoidance, timing)
10. Critical Thinking and Analysis
Critical thinking definition including (objective analysis, logical evaluation, reasoned judgment)
Critical thinking skills including (analysis, evaluation, inference, explanation)
Logical reasoning including (deductive reasoning, inductive reasoning, causal reasoning)
Assumption identification including (hidden assumptions, assumption testing, validity checking)
Bias recognition including (cognitive biases, emotional influences, objectivity maintenance)
11. Risk Assessment and Management
Risk identification including (potential problems, obstacles, unintended consequences)
Risk assessment including (probability evaluation, impact assessment, risk rating)
Risk mitigation including (risk reduction, contingency planning, preventive measures)
Risk monitoring including (warning signs, trigger points, response readiness)
Contingency planning including (backup plans, alternative approaches, flexibility)
12. Solution Implementation Planning
Implementation planning including (action steps, timeline, resources, responsibilities)
Change management including (stakeholder engagement, communication, resistance management)
Pilot testing including (small-scale testing, learning, refinement)
Resource allocation including (people, budget, time, materials)
Implementation monitoring including (progress tracking, issue resolution, adjustment)
13. Case Studies & Group Discussions
Problem-solving success stories including (breakthrough solutions, improvement achievements, innovation examples)
Problem-solving challenges including (analysis paralysis, implementation failures, resistance issues)
Industry problem-solving examples including (manufacturing quality issues, service delivery problems, operational inefficiencies)
Lessons from mistakes including (incomplete analysis, poor implementation, solution inadequacy)
The importance of proper training in developing effective problem-solving capabilities
Practical Assessment
Problem-solving project including (defining real problem, conducting root cause analysis, developing solution proposal)
Decision-making demonstration including (evaluating alternatives, applying decision tools, justifying recommendation)
Implementation plan development including (creating action plan, identifying risks, establishing monitoring approach)
Gained Core Technical Skills
Upon successful completion of this course, participants will have gained the following core technical skills:
Structured problem-solving methodologies including (PDCA cycle, A3 problem-solving, systematic approach)
Root cause analysis including (5 Whys technique, fishbone diagram, causal analysis)
Data collection and analysis including (data gathering methods, statistical analysis, trend identification)
Analytical tools including (Pareto analysis, process mapping, gap analysis)
Creative thinking techniques including (brainstorming, Six Thinking Hats, lateral thinking)
Decision-making frameworks including (decision matrix, decision tree, criteria evaluation)
Critical thinking including (logical reasoning, assumption testing, bias recognition)
Solution implementation including (action planning, change management, monitoring)
Risk assessment including (risk identification, impact evaluation, mitigation planning)
Collaboration skills including (team problem-solving, facilitation, consensus building)
Training Design Methodology
ADDIE Training Design Methodology
Targeted Audience
Managers solving organizational problems
Team Leaders addressing operational issues
Quality Professionals improving processes
Project Managers resolving project challenges
Engineers tackling technical problems
Operations Personnel optimizing performance
Supervisors handling daily issues
Professionals seeking analytical skills
Why Choose This Course
Comprehensive coverage of problem-solving from identification to implementation
Integration of proven methodologies including Root Cause Analysis and PDCA
Focus on practical application through real-world scenarios and simulations
Development of both analytical and creative problem-solving capabilities
Emphasis on structured approaches and systematic thinking
Exposure to diverse problem-solving tools and techniques
Enhancement of critical thinking and decision-making skills
Building of comprehensive problem-solving competencies for organizational excellence
Note
Note: This course outline, including specific topics, modules, and duration, can be customized based on the specific needs and requirements of the client.
Course Outline
Introduction to Problem-Solving
Problem-solving definition including (issue identification, analysis, solution development)
Problem-solving importance including (performance improvement, efficiency enhancement, innovation driver)
Problem types including (simple problems, complex problems, wicked problems)
Problem-solving approaches including (reactive problem-solving, proactive problem-solving, preventive thinking)
Problem-solving skills including (analytical thinking, creative thinking, critical thinking)
2. Problem Identification and Definition
Problem recognition including (symptom identification, issue awareness, opportunity recognition)
Problem definition including (problem statement, scope clarification, objective setting)
Problem versus symptom including (underlying issue, surface manifestation, distinction importance)
Problem framing including (perspective, boundaries, stakeholder impact)
Data collection including (information gathering, fact verification, evidence collection)
3. Structured Problem-Solving Process
Problem-solving steps including (definition, analysis, solution generation, evaluation, implementation, review)
PDCA Cycle including (Plan, Do, Check, Act)
A3 Problem-Solving including (background, current condition, analysis, countermeasures, implementation plan)
Eight Disciplines including (team formation, problem description, containment, root cause, corrective actions, verification, prevention, recognition)
Process discipline including (systematic approach, thoroughness, documentation)
4. Root Cause Analysis Techniques
Root cause importance including (problem elimination, recurrence prevention, sustainable solutions)
5 Whys technique including (iterative questioning, cause drilling, root identification)
Fishbone Diagram including (Ishikawa diagram, cause categories, visual analysis)
Cause and effect analysis including (causal relationships, contributing factors, primary causes)
Root cause validation including (evidence verification, testing hypotheses, confirmation)
5. Data Collection and Analysis
Data types including (quantitative data, qualitative data, observational data)
Data collection methods including (surveys, interviews, observations, measurements)
Data organization including (sorting, categorization, prioritization)
Data analysis techniques including (statistical analysis, trend analysis, pattern recognition)
Data visualization including (charts, graphs, process maps)
6. Analytical Thinking Tools
Pareto Analysis including (80/20 rule, vital few identification, prioritization)
Process mapping including (flowcharts, value stream mapping, process visualization)
Gap analysis including (current state, desired state, gap identification)
Force field analysis including (driving forces, restraining forces, change planning)
Failure Mode Effects Analysis including (potential failures, severity assessment, risk prioritization)
7. Creative Problem-Solving
Creativity importance including (innovation, breakthrough solutions, competitive advantage)
Brainstorming including (idea generation, judgment suspension, quantity focus)
Six Thinking Hats including (white hat facts, red hat emotions, black hat caution, yellow hat benefits, green hat creativity, blue hat process)
Lateral thinking including (perspective shift, unconventional approaches, assumption challenging)
Mind mapping including (idea connection, visual thinking, concept expansion)
8. Solution Generation and Innovation
Solution generation techniques including (brainstorming, brainwriting, reverse thinking)
Innovation approaches including (incremental innovation, breakthrough innovation, disruptive thinking)
Idea evaluation including (feasibility assessment, impact evaluation, resource consideration)
Solution criteria including (effectiveness, efficiency, sustainability, acceptability)
Combining ideas including (synthesis, integration, hybrid solutions)
9. Decision-Making Process
Decision-making steps including (define decision, gather information, identify alternatives, weigh evidence, choose, take action, review)
Decision-making styles including (rational decision-making, intuitive decision-making, collaborative decision-making)
Decision criteria including (priority setting, weighted factors, trade-off analysis)
Decision tools including (decision matrix, decision tree, cost-benefit analysis)
Decision quality including (information adequacy, bias avoidance, timing)
10. Critical Thinking and Analysis
Critical thinking definition including (objective analysis, logical evaluation, reasoned judgment)
Critical thinking skills including (analysis, evaluation, inference, explanation)
Logical reasoning including (deductive reasoning, inductive reasoning, causal reasoning)
Assumption identification including (hidden assumptions, assumption testing, validity checking)
Bias recognition including (cognitive biases, emotional influences, objectivity maintenance)
11. Risk Assessment and Management
Risk identification including (potential problems, obstacles, unintended consequences)
Risk assessment including (probability evaluation, impact assessment, risk rating)
Risk mitigation including (risk reduction, contingency planning, preventive measures)
Risk monitoring including (warning signs, trigger points, response readiness)
Contingency planning including (backup plans, alternative approaches, flexibility)
12. Solution Implementation Planning
Implementation planning including (action steps, timeline, resources, responsibilities)
Change management including (stakeholder engagement, communication, resistance management)
Pilot testing including (small-scale testing, learning, refinement)
Resource allocation including (people, budget, time, materials)
Implementation monitoring including (progress tracking, issue resolution, adjustment)
13. Case Studies & Group Discussions
Problem-solving success stories including (breakthrough solutions, improvement achievements, innovation examples)
Problem-solving challenges including (analysis paralysis, implementation failures, resistance issues)
Industry problem-solving examples including (manufacturing quality issues, service delivery problems, operational inefficiencies)
Lessons from mistakes including (incomplete analysis, poor implementation, solution inadequacy)
The importance of proper training in developing effective problem-solving capabilities
Why Choose This Course?
Comprehensive coverage of problem-solving from identification to implementation
Integration of proven methodologies including Root Cause Analysis and PDCA
Focus on practical application through real-world scenarios and simulations
Development of both analytical and creative problem-solving capabilities
Emphasis on structured approaches and systematic thinking
Exposure to diverse problem-solving tools and techniques
Enhancement of critical thinking and decision-making skills
Building of comprehensive problem-solving competencies for organizational excellence
Note: This course outline, including specific topics, modules, and duration, can be customized based on the specific needs and requirements of the client.
Practical Assessment
Problem-solving project including (defining real problem, conducting root cause analysis, developing solution proposal)
Decision-making demonstration including (evaluating alternatives, applying decision tools, justifying recommendation)
Implementation plan development including (creating action plan, identifying risks, establishing monitoring approach)
Course Overview
This comprehensive Problem-Solving training course equips participants with essential knowledge and practical skills required for identifying problems systematically, analyzing root causes effectively, and developing innovative solutions that address organizational challenges. The course covers fundamental problem-solving principles along with advanced techniques for structured analysis, creative thinking, decision-making, and solution implementation to enable professionals to tackle complex issues, make informed decisions, and drive continuous improvement.
Participants will learn to apply proven methodologies including Root Cause Analysis (RCA), 5 Whys technique, Fishbone Diagram, PDCA Cycle, Six Thinking Hats, and A3 Problem-Solving to systematically define problems, investigate causes, generate alternatives, evaluate options, and implement sustainable solutions. This course combines theoretical concepts with practical applications and real-world case studies to ensure participants gain valuable skills applicable to their professional environment while emphasizing analytical thinking, creativity, collaboration, and results-oriented approaches.
Key Learning Objectives
Understand fundamental problem-solving concepts and frameworks
Apply structured problem-solving methodologies systematically
Identify and analyze root causes effectively
Generate creative and innovative solutions
Make sound decisions using analytical tools
Implement solutions and monitor effectiveness
Work collaboratively in problem-solving teams
Foster continuous improvement mindset
Knowledge Assessment
Technical quizzes on problem-solving concepts including (multiple-choice questions on methodologies, matching exercise for analytical tools, framework identification)
Scenario-based assessments including (analyzing problem situations, recommending approaches, solving challenges)
Tool application exercises including (creating fishbone diagrams, conducting Pareto analysis, using decision matrices)
Critical thinking evaluation including (assessing logical reasoning, identifying assumptions, evaluating arguments)
Targeted Audience
Managers solving organizational problems
Team Leaders addressing operational issues
Quality Professionals improving processes
Project Managers resolving project challenges
Engineers tackling technical problems
Operations Personnel optimizing performance
Supervisors handling daily issues
Professionals seeking analytical skills
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