"I met Tomek as a trainer at a Six Sigma Black Belt training event.

Determined, consistent, determined and 100% dedicated to what he does. He has a great feel for the team.

He has a great understanding of business and its aspects such as: economic, quality, human aspects, among others.

I strongly recommend as a 'panacea' for difficult or 'unsolvable' problems in the company."


Sebastian Kryś

Executive MBA w Georgia State University

Szkolenie SPC
  • Introduction to critical thinking and the scientific method (PDSA)
  • Structured problem solving using basic tools (Ishikawa, 5Why, Pareto, Issue Tree, Affinity Diagram)
  • Operational definitions
  • Introduction to Variability
  • Basic statistics and graphical presentation of data
  • Process Mapping
  • I-MR Control Charts
  • Analysis of Measurement Systems (continuous and attribute data)


  • Components of Variation Study (Sampling Trees and rational sampling)
  • Statistical significance of sources of variation
  • Regression analysis
  • Methods of generating solutions
  • Introduction to FMEA
  • Statistical Process Control (SPC)
  • Process capability
  • Control plans
  • Effective presentation of information


"Tomasz is a true expert in his field and training sessions with him are full of creativity and lots of valuable information. He is eager to share his experiences, support in problem-solving, and give valuable tips on how to solve key problems in the company with simple tools. The trainings conducted by Tomasz are the best I have ever taken part in. His competence, customized approach to many problems is a real inspiration."


Marek Sulik

MBA, Six Sigma, Executive Manager

Szkolenie SPC

"I had the pleasure to participate in Six Sigma Black Belt training conducted by Tomek.

I can confirm - the amount of knowledge and the manner of its transfer at the highest level.

Even such "magic" as statistics presented in a clear and understandable way for everyone.

I sincerely recommend Tomek as a trainer and project leader. 👍"



Maciej Dąbrowski

Lean Expert w Gerdes MC

Szkolenie SPC

Sample recommendations (more on my LinkedIn profile)


  • Proven tools only
  • Use of "why - what - how" sequences throughout the course and each individual topic
  • Frequent use of examples and "case studies"
  • Lots of team exercises (~30% of class time)
  • Lots of repetition and integration of tools
  • Minimal use of PowerPoint presentations
  • Integration of software within each topic rather than teaching it separately
  • Discussion sessions with the trainer
  • Max. 15 participants

No prerequisites.

What are the requirements?

Data-driven Problem Solving Training

Session 1  (2 days)

Session 2 (2 days)

What is the program?

What are the benefits?

Who is training for?

This course is designed for people with different functions in the organization - operational, quality, logistics, financial, production, engineering.

What is the training model?

  • Solve critical business problems quickly and accurately using data
  • Combine process knowledge with statistical thinking
  • Improve resource utilization, reduce costs and improve quality
  • Freeing up time to do other things
  • Improved critical thinking
  • Development of competencies and increased attractiveness to the job market

What are the characteristics of Data-driven Problem Solving training?

  • Engineers of the future must have skills that include complex problem solving, critical thinking, creativity, innovative thinking, leadership, and collaboration because they will have to deal with the changes that Industry 4.0 will bring.
  • It is assumed that engineering is the use of science and math to design or create things - however, there is little mention or discussion of problems until they occur, and this is a huge oversight in teaching engineering.
  • There are many approaches to problem solving that are used in organizations, but the best of them have one thing in common - they start with understanding data. 
  • A data-driven approach refers to the systematic collection, management, analysis, interpretation, and application of data.
  • The training provides the entire skill set needed to plan and execute multi-step sequences of activities, respond to a dynamically changing system, test hypotheses, and, if necessary, adaptively create new hypotheses, using data, to lead to a solution to a problem.
  • The course focuses on integrating critical thinking and creativity with technical skills

Data-driven Problem Solving Training

4 Days




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  2. en