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Six Sigma Write for Us: Guest Posts and Contributor Guidelines

Six> Sigma Write for Us: Guest Posts and Contributor Guidelines

Computer Tech Reviews welcomes original Six Sigma articles from process-improvement professionals, quality specialists, operations managers, project leaders, analysts, consultants and experienced practitioners.

We are looking for practical contributions that explain how data and structured problem-solving can improve processes. Strong submissions should describe the original problem, measurement method, analysis, proposed improvement and evidence used to evaluate the outcome.

This contributor page is part of our Business Technology & Operations Write for Us hub, which covers the management practices and technologies used to improve organizational performance.

What Is Six Sigma?

Six Sigma is a structured approach to understanding process performance, reducing unwanted variation and addressing the causes of defects or errors. It combines project management, process knowledge, customer requirements and appropriate statistical analysis.

Six Sigma should not be presented simply as a collection of charts or certification belts. Its value depends on selecting an important problem, collecting suitable data, identifying credible causes and maintaining the improvement after implementation.

Articles should avoid promising “perfect quality” or guaranteed savings. Outcomes depend on the process, data, organizational support and way the methodology is applied.

Six Sigma Topics We Welcome

We accept tutorials, case studies, professional analysis and first-hand experiences covering topics such as:

  • DMAIC process-improvement projects
  • Design for Six Sigma and DMADV
  • Lean Six Sigma implementation
  • Process mapping and SIPOC analysis
  • Voice of the Customer and critical-to-quality requirements
  • Measurement-system analysis and data quality
  • Root-cause analysis
  • Statistical process control
  • Process capability and variation
  • Failure Mode and Effects Analysis
  • Design of experiments
  • Control plans and sustained improvement
  • Six Sigma software and statistical tools
  • Six Sigma in service and technology organizations
  • Six Sigma training and certification experiences

Writing About DMAIC

DMAIC—Define, Measure, Analyze, Improve and Control—is commonly used to improve an existing process. Articles may focus on the complete framework or examine one phase in depth.

Define

The Define phase should establish the business problem, customer requirements, project boundaries and intended result. Suitable topics include project charters, stakeholder analysis, Voice of the Customer and SIPOC diagrams.

A strong problem statement describes the observed condition without assuming its cause. For example, an increase in processing errors is an observed problem; blaming inadequate training before analysis has taken place is an unsupported conclusion.

Measure

The Measure phase establishes how the current process performs. Contributors should explain what was measured, how the data was collected and whether the measurement process was reliable.

Useful articles may examine operational definitions, sampling, data-collection plans, baseline performance and measurement-system analysis. Do not begin sophisticated statistical analysis before confirming that the underlying measurements are suitable.

Analyze

The Analyze phase investigates why the problem occurs. Writers may discuss process analysis, Pareto charts, cause-and-effect diagrams, the 5 Whys, hypothesis testing, regression or other appropriate methods.

A brainstorming exercise may identify possible causes, but it does not prove that those causes are responsible for the observed result. Articles should explain how potential causes were tested against process knowledge and evidence.

Improve

The Improve phase develops and evaluates solutions addressing the verified causes. Suitable topics include pilot testing, mistake-proofing, process redesign, automation and design of experiments.

Contributors should explain how solutions were selected and whether they created new costs or risks. A successful pilot should not automatically be treated as proof that the change will perform identically at full scale.

Control

The Control phase helps an organization maintain the improved process. Articles may discuss standard operating procedures, control plans, dashboards, training, process ownership and response procedures.

A project is not complete simply because performance improved temporarily. Writers should explain how teams detect deterioration and who is responsible for taking corrective action.

Six Sigma and Business Operations

Six Sigma projects should connect to operational objectives such as reducing delays, improving consistency, preventing defects or creating more reliable service delivery.

We welcome articles showing how process-improvement specialists work with operational employees. Those who perform a process every day often understand practical details that cannot be discovered from dashboards alone.

Articles focused primarily on workflows, capacity, service delivery and recurring organizational processes can be submitted through our Business Operations Write for Us page.

Lean Six Sigma

Lean and Six Sigma are frequently combined, but they are not identical. Lean generally focuses on improving flow and reducing non-value-adding activity, while Six Sigma emphasizes variation, defects and evidence-based analysis.

Lean Six Sigma articles should explain how the selected tools relate to the problem. Do not apply a statistical method merely because it appears in a training curriculum, and do not classify every delay or activity as waste without considering its purpose.

Suitable topics include value-stream mapping, standard work, mistake-proofing, workplace organization, flow improvement and the relationship between speed and quality.

Project Management in Six Sigma

Six Sigma improvements are normally delivered through projects with a defined objective, scope, team, schedule and sponsor. Statistical ability alone is not enough when responsibilities are unclear or stakeholders do not support the change.

Articles may discuss project selection, charters, governance, stakeholder engagement, tollgate reviews and the transition from a project team to a process owner.

Contributions primarily focused on planning, delivery methodologies, budgets or stakeholder coordination belong in our Project Management Write for Us section.

Six Sigma and Risk Management

Process improvement can create new risks if changes are introduced without considering failure scenarios. We welcome articles about Failure Mode and Effects Analysis, control failures, process risk and the unintended effects of operational change.

FMEA scoring should support discussion and prioritization rather than create false mathematical certainty. Contributors should explain how failure modes were identified, how controls were evaluated and how recommended actions were prioritized.

Articles primarily about wider organizational, technology, supplier or operational risks can be submitted through our Risk Management Write for Us page.

Quality Control and Statistical Process Control

Quality control identifies whether outputs meet defined requirements, while Six Sigma may investigate and improve the process producing those outputs. The two areas overlap but should not be treated as interchangeable.

We accept articles about control charts, process stability, specification limits, capability analysis and reaction plans. Writers must explain their calculations, assumptions and data-collection process.

Control limits should not be confused with customer or engineering specification limits. A process can be statistically stable while still failing to meet requirements.

Articles primarily focused on inspections, standards, testing and quality assurance should be submitted through our Quality Control Services Write for Us page.

Cost Reduction and Financial Results

Six Sigma projects are often expected to produce savings, but financial claims require careful documentation. Contributors should explain whether reported benefits are verified savings, avoided future costs, productivity improvements or estimated opportunities.

Include implementation, software, consulting, training and ongoing-control expenses when evaluating the result. Do not present a reduction in processing time as cash savings unless it actually changed expenditure or released resources for measurable value.

Articles primarily focused on budgets, cost allocation and financial controls can be submitted through our Cost Management Write for Us page.

Six Sigma and Digital Transformation

Automation, analytics and artificial intelligence can support measurement and process monitoring, but technology should not be introduced before the underlying problem is understood.

Digitizing an inefficient process may reproduce its weaknesses at greater speed. Useful articles explain how teams examined and redesigned the process before selecting technology.

We welcome first-hand accounts of process mining, automated data collection, predictive quality, workflow automation and digital dashboards. Identify the platform, implementation environment and testing date.

Articles primarily about organization-wide technology change belong in our Digital Transformation Write for Us section.

Six Sigma for SMEs

Small and medium enterprises can use structured problem-solving without creating a large certification program or specialist department. A focused improvement project may use a limited selection of tools appropriate to the organization’s size and data maturity.

SME-focused submissions should emphasize practical methods, affordable measurement and employee participation. Avoid recommending complex statistical analysis when simpler evidence is adequate for the decision.

Articles about the wider management and technology needs of smaller organizations can be submitted through our SME Write for Us page.

Six Sigma Software and Tool Reviews

We accept reviews of statistical, process-mapping and improvement-management software when based on first-hand testing.

A useful review may evaluate:

  • Data preparation and validation
  • Statistical-analysis capabilities
  • Control charts and capability analysis
  • Process mapping and visualization
  • Collaboration and project tracking
  • Reporting and export options
  • Training requirements
  • Pricing and licensing

Identify the product version, plan and testing date. Do not recommend software solely because it supports the largest number of statistical tests.

Case Studies and Evidence Requirements

We welcome genuine Six Sigma case studies from manufacturing, healthcare, finance, logistics, technology and service organizations.

A strong case study should include:

  • The organization’s industry and approximate size
  • The original process problem
  • The project scope and baseline
  • The data-collection method
  • The analysis used to identify causes
  • The improvement implemented
  • The control method
  • The verified outcome and limitations

Do not invent precise improvements for illustrative case studies. If an example is hypothetical, label it clearly. If the case is real, disclose how results were measured and whether the financial benefits were independently verified.

Contributor Guidelines

  • Submit an original article containing at least 800 words.
  • Use “Six Sigma” as two words throughout the article.
  • Use a clear title, introduction, headings and conclusion.
  • Define the process problem, scope and intended outcome.
  • Describe the data source and measurement method.
  • Explain statistical methods and assumptions clearly.
  • Support performance and savings claims with evidence.
  • Discuss limitations, failed tests and unintended effects.
  • Use first-hand evidence for reviews and case studies.
  • Do not disclose confidential organizational information.
  • Disclose sponsorships and vendor relationships.
  • Do not submit copied, spun or primarily promotional content.
  • Manually verify every calculation, fact and citation in AI-assisted drafts.

How to Submit a Six Sigma Guest Post

Email your article proposal or completed draft to contact@computertechreviews.com.

Please include:

  • Your proposed article title
  • A short summary or outline
  • The intended audience
  • The methodology or tools covered
  • Details of any original data or case study
  • Links to relevant writing or professional work
  • Disclosure of any commercial relationship

Our editorial team may edit accepted articles for accuracy, clarity, structure and house style. Submission does not guarantee publication.

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