Ken Feldman

Lean Startup methodologies have revolutionized the way modern entrepreneurs approach launching and scaling their businesses. At the core of Lean Startup is the idea of minimizing risk through rapid experimentation, customer feedback, and iterative development. This approach enables startups to efficiently test their business models and products with minimal resources while remaining adaptable […]

Is your data normal? Oh no! Is that a problem? The concept of data normality can be important when using certain statistical tools to make data-driven decisions.

Lean Six Sigma (LSS) is a structured approach that combines two powerful process improvement methodologies: Lean, which focuses on eliminating waste, and Six Sigma, which focuses on reducing variation and defects. When applied to the Environmental, Health, and Safety (EHS) function of an organization, Lean Six Sigma provides a robust framework for driving operational efficiency, […]

In the fast-paced world of startups, flexibility is crucial. Entrepreneurs often enter the market with bold ideas, but reality has a way of testing those ambitions. As conditions change, so must the strategies. This adaptability is known as a pivot—a fundamental shift in a startup’s business model, product offering, or market approach. Pivoting […]

You are often faced with many options on how to improve the process. Which one is the best? The Pugh Matrix is a simple tool for you to decide which approach — or hybrid of approaches — you should use.

In the world of startups and product development, the Minimum Viable Product (MVP) has become a cornerstone of agile innovation. An MVP is a product with just enough features to attract early adopters and validate a product idea. It allows businesses to test their hypotheses and gather valuable feedback without expending excessive resources. […]

Sigma is the eighteenth letter of the Greek alphabet and is used as a common notation in statistics as a measure of summation and variation.

Waste is all around your organization. Using TIMWOODS and DOWNTIME, you will learn how to identify the 8 Wastes of Lean and eliminate it to improve your organization.

What is a Project Sponsor? A Six Sigma project sponsor plays a key role in Six Sigma methodology who provides overall support, guidance, and resources to ensure the success of a Six Sigma project. The project sponsor is typically a high-level executive or manager within the organization who has the authority to allocate resources and […]

What is a Black Belt (BB)? A Six Sigma Black Belt (BB) is a trained and certified professional who has achieved a high level of expertise and experience in the Six Sigma methodology. Six Sigma is a data-driven methodology and management philosophy that aims to improve the quality of processes, reduce defects, and minimize variability […]

What is a Black Belt (BB)? A Six Sigma Black Belt (BB) is a professional who has achieved a high level of expertise in the Six Sigma methodology. Six Sigma is a disciplined, data-driven approach to process improvement that aims to eliminate defects and improve the quality and efficiency of business processes.  The Benefits of […]

What is Quality Control (QC)? Quality control (QC) is a product-oriented approach to quality to ensure that products or services meet specified quality requirements and standards. Quality control focuses on inspection and testing to verify that a product is safe and effective after production. It is often viewed as a process of detection versus prevention. […]

Have you ever wondered whether the outgoing inspection values from your vendor are equivalent to the values of your incoming inspection? Maybe it’s time to use orthogonal regression to see if one of you can stop inspecting. If your vendor is doing final outgoing inspection, do you need to also do incoming inspection on the […]

Have you or a family member ever had to visit a hospital Emergency Room? What was your experience? How was your wait time? Let’s see how one hospital handled long wait times and extensive patient dissatisfaction using queuing theory. The Emergency Room of a public hospital was experiencing long wait times to treat patients. Wait […]

You are probably familiar with the notion that there are costs of poor quality, often shown as COPQ. These represent both internal and external failures to maintain good quality. There are also costs associated with maintaining good quality sometimes represented as COGQ. These costs represent appraisal and prevention costs. Total Cost of Quality (TCOQ) is […]

What are you blending when you speak about blended learning? You are combining face to face classroom learning with an instructor and online or computer driven learning. Let’s learn a little more about this concept of learning. In the 1960’s, technology-based training emerged as an alternative to instructor-led training. One of the major advantages of […]

When an organization attempts to implement a Six Sigma deployment, somebody needs to be selected to lead and manage it. Champions are upper-level managers who lead the execution of the Six Sigma deployment plans for the organization. That makes it one of the most critical roles in the eventual success of your Lean Six Sigma […]

Many statistical tools have an assumption of normality. Is there an option if my data is not normal? Transforming your data might help. Some statistical methods, such as hypothesis testing, have an underlying assumption of normality of your data before they can be used. Although control charts are generally robust to normality issues, sometimes the […]

It is often not possible or practical to collect all the data from your process. It can be too costly or take too much time. It may not be possible to access all the data. If this situation exists in your process, then you will need to sample your data. Overview: What is sampling?  There […]

The term levels is used in the context of Design of Experiments (DOE) and refers to the different settings you can use for running your experiments. Let’s look at this in a little more detail. The purpose of doing a Design of Experiments (DOE) is to identify what variables or factors have a causal effect […]

A binomial distribution can be described as the probability of a binary outcome in an activity that is repeated multiple times. It is a distribution of discrete data rather than continuous data. For example, a coin toss has only two possible discrete outcomes: heads or tails. Inspecting and testing a manufactured part can have two […]

ISO 9000 is a series of standards, developed and published by the International Organization for Standardization (ISO). It defines, establishes, and maintains an effective quality management system for manufacturing and service industries. Overview: What is the ISO 9000 series?  ISO 9000 is a series of individual standards. The core standards contained within the series are: […]

In the context of Six Sigma and Continuous Improvement, a root cause is defined as an issue or factor that causes a nonconformance or defect which, if eliminated, will improve the process. The root cause is the base issue which sets a cause-and-effect reaction in motion eventually resulting in a problem. Overview: What is root […]

There are two broad categories of data in statistics: quantitative data and categorical data. Quantitative data is something you measure or count while categorical data presents data in categories or groups rather than the actual values themselves.  Overview: What is quantitative data?  Quantitative data describe values and numbers which are measured or counted and can […]