6 minute readPublished on May 16, 2019
Joseph Garvey

Joseph Garvey

Marketing Analyst

Quality management techniques to drive team performance

Quality management techniques can help you measure and improve the effectiveness of processes in your organization.

What is quality management?

Quality management is the act of overseeing all activities and tasks which are necessary to maintain or achieve a certain level of excellence in your organization. It consists of four key processes: quality planning, quality assurance, quality control and continual improvement.

  • Quality planning – devising a quality management plan that describes the processes and metrics that are to be used.
  • Quality assurance - assuring, validating and exhibiting to the organization that you have the abilities, skills, knowledge and attitude to achieve the desired outcome.
  • Quality control – inspection, testing and measurement of project deliverables.
  • Continual improvement – examining how the three elements above will drive further improvements in efficiency and effectiveness.

These processes are defined by their relationship with three principles: focus on the customer, understand the process and consider employees’ commitment.

Focus on the customer

Quality management techniques are also designed to measure customers’ satisfaction. They aim to try and answer these questions:

  • Are customers satisfied?
  • Are customers happy?
  • Is the customer base increasing in number?
  • Do we meet or exceed customers’ expectation?
  • Is there anything that could be done, or could be done better, to serve customers better?

Answering these questions will help determine how to maintain the current customer base and attract a new one.

Understand the process

Quality management techniques are also used to assess the quality and effectiveness of the processes in your organization. They try to assess inefficiencies in the process or where small tweaks can make visible improvements to achieve better results. Quality management techniques also try to gauge whether processes can be faster or shorter but yield the same or better results. Importantly, the cost of processes is measured; can the cost be reduced in areas without damaging performance?

Consider employees’ commitment

The final principle that quality management techniques need to consider is employees’ commitment to quality and excellence. Anne Mulcahy said: ‘employees are a company’s great asset,’ and it's important to determine how committed your employees are in order to improve and succeed. Without commitment there can be no improvement, so quality management techniques should also try to find a way to motivate employees.

Quality Management Techniques

Let us run you through some techniques…

Quality Management Techniques


Benchmarking is the process of taking performance metrics from the team and comparing these results to industry leaders. Problems and inefficiencies can be identified and acted upon. Targets for performance improvement can be devised, planned and implemented. With target achievement comes performance improvement and greater knowledge.

Continuous Improvement Process

Continuous improvement process, or continual improvement, concerns the ongoing improvement of services, products and processing using the metrics of ‘incremental’ and ‘breakthrough’. Incremental is the process of improvement over time, while breakthrough is improvement occurring all at once.

The most widely used tool in the continuous improvement process is the PDCA cycle - The Plan-Do-Check-Act. You can read more about it here.

Statistical Process Control

Statistical process control is a method of quality control which uses statistical methods to control, monitor and manage a process. Quality data is in the form of product or process measurements which are obtained in real-time. Control limits are set. If data falls outside the control limits, then this indicates variation away from the process standards and reason to search for a source of this variance.

Variation Risk Management

Variation risk management is a tool for identifying, assessing and, if needed, nullifying unwanted variation in a process. It is a process geared toward the most effective reduction of negative process variation, given limited resources.

Business Process Re-engineering

The process of business re-engineering involves discovering the business operations and processes, determining the frailties and inefficiencies, redesigning these processes to eliminate redundancies, and finally implementing these redesigned processes. Re-engineering emphasizes a holistic approach; looking at large-scale change that can be implemented, focusing on business objectives and the processes related to them.

Six Sigma

Six sigma is a data-driven approach for removing defects in any process from manufacturing to engineering, product and service. Six sigma approaches uses two main basic principles: DMAIC and DMADV.

DMAIC (used to redesign and improve an existing process):

Define (the problem and desired outcome)

Measure (the capabilities)

Analyze (the data and identify defect variations in the process)

Improve (and modify the process so fewer defect variations are found)

Control (the process; prevent and alter variations before they result in errors)

DMADV (used predominantly when designing a new process):

Define (design standards and process goals)

Measure (and identify metrics with which process performance will be defined)

Analyze (the data and identify defect variations in the process)

Design (changes that will mitigate defects and errors)

Verify (that the process design will meet performance requirements)