Define, Measure, Analyze, Improve, Control

Definition of Define, Measure, Analyze, Improve, Control

Define, Measure, Analyze, Improve, and Control (DMAIC) is a data-driven quality improvement methodology used in Six Sigma projects. It consists of five interrelated phases: Define the problem, Measure the current performance, Analyze collected data to find root causes, Improve the process by implementing solutions, and Control the improved process to maintain gains. This structured framework aims to enhance businesses’ efficiency by reducing process variability and defects.


Define: /dɪˈfaɪn/Measure: /ˈmɛʒər/Analyze: /ˈænəˌlaɪz/Improve: /ɪmˈpruːv/Control: /kənˈtroʊl/

Key Takeaways

  1. Define, Measure, Analyze, Improve, Control (DMAIC) is a data-driven, structured improvement methodology used to optimize business processes, solve complex issues, and enhance overall performance.
  2. DMAIC provides a systematic approach to problem-solving by breaking it down into five phases, ensuring a structured and disciplined process that helps organizations identify the root causes of problems and implement effective improvements.
  3. The five phases of DMAIC – Define, Measure, Analyze, Improve, and Control – are designed to work seamlessly together, providing a continuous improvement loop that promotes consistent and sustainable improvements in business processes and outcomes.

Importance of Define, Measure, Analyze, Improve, Control

Define, Measure, Analyze, Improve, and Control (DMAIC) is an important term in technology as it represents a data-driven, structured approach for improving processes, enhancing product quality, and increasing efficiency.

It is an essential component of the Six Sigma methodology, which aims to reduce variation and defects within a given system.

The DMAIC framework ensures that teams have a clear understanding of the problem (Define), accurately gather data to establish baselines (Measure), identify the root causes of the issue (Analyze), implement effective solutions with validated improvements (Improve), and consistently monitor and manage the process for sustained performance (Control). By following and applying the DMAIC principle to projects, organizations can achieve increased productivity, customer satisfaction, and overall operational excellence.


The Define, Measure, Analyze, Improve, and Control (DMAIC) methodology is a widely applied quality management tool that aims to systematically enhance processes, eliminating defects or errors and ensuring consistency. Historically rooted in the manufacturing sector, it is now applicable across various industries to optimize efficiency and achieve measurable improvements. DMAIC serves as a standardized problem-solving framework incorporating data-driven analysis, ensuring evidence-based decision-making and maximizing stakeholder buy-in throughout a project.

Predominantly grounded in the Six Sigma principles, the purpose of this approach is to furnish businesses with an effective means of streamlining operations, reducing variability and waste, while concurrently promoting customer satisfaction and improved profit margins. Each stage of DMAIC comes with a unique purpose and respective actions taken to address issues in a structured, comprehensive manner. The ‘Define’ phase involves identifying and prioritizing problems with explicit goals, considering their impact on stakeholders or customers.

Subsequently, the ‘Measure’ component entails quantifying the problem, gathering baseline data, and developing performance indicators to reference during the project. ‘Analyze’ involves exacting scrutiny of data to reveal causational factors and root causes for the observed issue. The penultimate ‘Improve’ phase encompasses devising, testing, and implementing strategic solutions to directly target the root causes.

Lastly, the ‘Control’ stage aims to ensure long-term adherence to these solutions through monitoring and managing process controls, thereby sustaining the benefits achieved. By providing a structured, iterative route towards continual process enhancement, the DMAIC methodology equips organizations with the necessary tools to refine their practices, foster innovation, and maintain a competitive edge in their respective markets.

Examples of Define, Measure, Analyze, Improve, Control

Define, Measure, Analyze, Improve, and Control (DMAIC) is a data-driven quality methodology within the Six Sigma framework, used for process improvement. It consists of five interconnected phases focusing on process optimization, reducing defects, and improving work efficiency. Here are three real-world examples of this technology.

Manufacturing Industry: In a car manufacturing plant, the management noticed an increase in the number of defective products reaching customers. They implemented the DMAIC methodology to address this issue. During the Define phase, they identified the problem with paint chipping. In the Measure phase, the defect rates were calculated for various stages of the production process. Analyze led the team to understand the root causes, such as improper curing times and paint thickness. The Improve phase included modifying the process to eliminate these causes. Finally, the Control phase established new standard operating procedures and ongoing monitoring to ensure the problem didn’t resurface.

Healthcare Sector: A hospital discovered that the wait times in its Emergency Department (ED) were longer than expected, causing overcrowded waiting rooms and dissatisfied patients. The hospital implemented the DMAIC approach to tackle this issue. In the Define phase, the team outlined the problem by focusing on the time it takes for a patient to be seen by a healthcare professional. The Measure phase collected relevant data regarding patient flow and wait times. The Analyze phase identified bottlenecks, such as inefficient triage procedures and inconsistent bed availability. In the Improve phase, changes were made to address these issues, such as refining the triage process and optimizing bed management. The Control phase involved implementing protocols to maintain improvements and routine checks on hospital efficiency.

Information Technology (IT) Services: An IT company was experiencing a high rate of software project failures, resulting in negative customer feedback and lost revenue. They decided to implement DMAIC to improve their project completion rate. In the Define phase, the problem was outlined and focused on software project delays and missed deadlines. The Measure phase involved collecting data on project durations, resources utilized, and other contributing factors. The Analyze phase found that inadequate requirement gathering, lack of communication, and knowledge gaps were causing these issues. The Improve phase included implementing a more rigorous requirement gathering process, better communication channels, and employee training programs to bridge the knowledge gaps. In the Control phase, new processes were standardized, and regular audits were put in place to ensure the problem doesn’t reoccur.

FAQ – Define, Measure, Analyze, Improve, Control

1. What is the purpose of the Define, Measure, Analyze, Improve, and Control (DMAIC) methodology?

The purpose of the DMAIC methodology is to provide a structured approach to problem solving and continuous improvement in business processes. DMAIC is an acronym for Define, Measure, Analyze, Improve, and Control, and these steps form the backbone of this data-driven improvement cycle. It is a fundamental component of the Six Sigma methodology, which aims to reduce process variation and improve overall quality.

2. What are the key components of the Define phase in DMAIC?

In the Define phase, the improvement project is initiated, and the problem or process to be improved is identified. Key components of this phase include establishing the project scope, goals and objectives, forming a project team, identifying the stakeholders, and creating a project charter that outlines the purpose, deliverables, and timeline of the project.

3. How does the Measure phase contribute to the overall DMAIC process?

The Measure phase contributes to the overall DMAIC process by collecting data and establishing a baseline for the current performance level of the process. In this phase, the process and its inputs and outputs are mapped, data is gathered, and key performance indicators (KPIs) are identified and monitored. The data collected in the Measure phase is essential for understanding the root causes of the problems in the Analyze phase and measuring the improvements in the Improve and Control phases.

4. What is the purpose of the Analyze phase in the DMAIC process?

The purpose of the Analyze phase is to identify the root causes of the problems in the process and to determine the factors that are contributing to process variation. In this phase, the data collected in the Measure phase is analyzed using various statistical tools and techniques. The goal is to find patterns, trends, and correlations that can help explain the variations and identify areas of improvement.

5. How does the Improve phase contribute to the overall process of DMAIC?

The Improve phase contributes to the overall DMAIC process by implementing solutions and process improvements to address the root causes identified in the Analyze phase. In this phase, potential changes and improvements are prioritized based on their impact, ease of implementation, and cost. The selected improvements are then tested and implemented, and the results are measured to ensure that the desired improvements have been achieved.

6. What is the role of the Control phase in DMAIC?

The role of the Control phase in DMAIC is to ensure that the improvements and changes implemented in the Improve phase are sustained and that the process remains under control over time. This phase involves developing control plans, monitoring the performance of the process, and adjusting as necessary to maintain improvements. The Control phase also includes documenting the lessons learned, sharing the project results, and celebrating the team’s success.

Related Technology Terms

  • Data Collection
  • Process Mapping
  • Root Cause Analysis
  • Performance Metrics
  • Control Charts

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