dimensions-of-quality

What are the 8 dimensions of quality?

  • The 8 dimensions of quality are used at a strategic level to analyze the product or service quality characteristics. They were first described by Harvard Business School Professor David A. Garvin in 1987.
  • Instead of defensive measures to pre-empt quality control, Garvin proposed that American companies take a more aggressive stance where quality itself would be the basis of product differentiation and a competitive strategy to secure market share.
  • The 8 dimensions of quality are performance, features, reliability, conformance, durability, serviceability, aesthetics, and perceived quality. Some dimensions are mutually reinforcing, while others are not.
8 Dimensions of QualityKey ElementsAnalysisImplicationsApplicationsExamples
PerformanceRefers to a product’s primary operating characteristics.Analyzing performance involves evaluating how well a product or service fulfills its intended function and meets established standards or benchmarks.High-performance products are likely to satisfy customers, while low-performance ones may lead to dissatisfaction. Meeting or exceeding performance expectations is crucial for customer loyalty.Assessing and improving the performance of products, services, and processes to ensure they meet or exceed customer expectations.– Evaluating the processing speed of a computer. – Measuring the fuel efficiency of a car. – Assessing the processing capabilities of a smartphone.
FeaturesRelates to additional attributes beyond basic functions.Analysis includes identifying the features that enhance the product’s appeal and comparing them to competitors’ offerings. Features may be assessed based on customer preferences and market demand.The presence of desirable features can differentiate a product or service, attract customers, and command premium pricing. Understanding customer needs and preferences is essential for feature development.Developing new product features or enhancing existing ones based on market research and customer feedback.– Adding a touch screen to a smartphone. – Introducing advanced safety features in an automobile. – Incorporating new functionalities into software applications.
ReliabilityFocuses on the consistency of performance over time.Reliability analysis involves assessing the likelihood of a product or service malfunctioning or failing within a specified period. It often includes measuring mean time between failures (MTBF) or mean time to repair (MTTR).Reliable products and services build trust with customers, reduce the risk of breakdowns or downtime, and minimize the need for repairs or replacements. Ensuring reliability is crucial for customer satisfaction and loyalty.Implementing quality control measures and preventive maintenance to enhance product or service reliability. Developing warranties or service agreements to address potential issues promptly.– Testing the durability of electronic components. – Conducting stress tests on manufacturing equipment. – Implementing software testing and debugging procedures.
ConformanceAddresses whether a product meets established standards.Conformance analysis involves comparing product specifications and performance to predetermined criteria or industry standards. It assesses whether a product adheres to its intended design and quality parameters.Products that consistently conform to established standards are more likely to meet customer expectations and legal requirements. Non-conformance can lead to quality issues, compliance challenges, and potential legal liabilities.Conducting quality audits and inspections to ensure products align with specifications and standards. Training employees to follow standardized procedures and quality control practices.– Checking the dimensions of manufactured parts against engineering drawings. – Verifying that software code adheres to coding standards. – Inspecting food products to ensure compliance with safety regulations.
DurabilityRefers to the lifespan and longevity of a product.Durability analysis evaluates a product’s ability to withstand wear and tear, environmental factors, or usage conditions without significant deterioration. It may involve testing materials, components, or the entire product.Durable products can reduce the frequency of replacements and repairs, saving customers time and money. Durability is particularly important for products with long lifecycles or those subjected to harsh conditions.Research and development efforts to enhance the durability of materials and components. Conducting accelerated aging tests to simulate long-term usage and assess product reliability.– Testing the resilience of smartphone screens to impact. – Evaluating the wear resistance of clothing fabrics. – Assessing the corrosion resistance of metal components.
ServiceabilityPertains to ease of maintenance and repair.Serviceability analysis examines how easily a product can be serviced, repaired, or maintained when issues arise. It considers factors like accessibility, availability of replacement parts, and the simplicity of repair procedures.Products that are serviceable with minimal downtime or cost can lead to higher customer satisfaction and lower ownership costs. Serviceability can also impact the product’s total cost of ownership (TCO).Designing products with modular components and user-friendly features for easy maintenance. Providing comprehensive service manuals and offering customer support for troubleshooting and repairs.– Designing appliances with easily replaceable parts. – Creating vehicles with accessible engine compartments for maintenance. – Offering repair kits and online tutorials for consumer electronics.
AestheticsInvolves the visual and sensory appeal of a product.Aesthetics analysis considers the design, appearance, color, texture, and overall sensory experience of a product. It evaluates how well the product’s aesthetics align with target customer preferences and market trends.Aesthetically pleasing products can attract customers, evoke positive emotions, and enhance brand image. Poor aesthetics may deter potential buyers and impact market competitiveness. Aesthetic preferences may vary by culture and demographic.Integrating aesthetics into product design, including visual and sensory elements. Conducting market research and consumer surveys to understand aesthetic preferences. Collaborating with designers and artists to create visually appealing products.– Designing smartphones with sleek and modern aesthetics. – Developing packaging with attractive graphics and branding. – Creating interior designs that enhance the ambiance of a restaurant.
Perceived QualityFocuses on customer perceptions and expectations.Perceived quality analysis involves understanding how customers perceive and evaluate a product’s overall quality based on their experiences, expectations, and comparisons with competitors. It often includes customer feedback and reviews.Customer perceptions significantly influence purchasing decisions and brand loyalty. Managing and improving perceived quality requires addressing customer feedback and consistently delivering on promised quality attributes.Collecting and analyzing customer feedback, reviews, and ratings to gauge perceived quality. Aligning marketing and branding efforts with the desired perception of quality. Continuously monitoring and addressing quality issues to meet or exceed customer expectations.– Conducting customer surveys to assess satisfaction and perceptions. – Responding to and resolving customer complaints and issues promptly. – Incorporating customer feedback into product development and improvement processes.
CostRelates to the price and affordability of a product.Cost analysis considers the price of the product or service compared to the perceived value it offers to customers. It also evaluates factors impacting production costs, supply chain efficiency, and pricing strategies.Cost considerations play a significant role in customer purchasing decisions. Balancing quality and cost is essential to determine the product’s value proposition and competitiveness in the market. Pricing strategies should align with target customer segments.Conducting cost-benefit analyses to determine the optimal price-quality ratio for products or services. Identifying cost-saving opportunities in production, distribution, and supply chain management. Developing pricing strategies that cater to different market segments while maintaining profitability.– Offering budget-friendly smartphone models with essential features. – Implementing cost-effective manufacturing processes to reduce production expenses. – Developing pricing tiers for software applications, catering to both premium and budget-conscious customers.

Understanding the 8 dimensions of quality

The 8 dimensions of quality are used at a strategic level to analyze the product or service quality characteristics.

The 8 dimensions of quality were created by Harvard Business School Professor David A. Garvin.

In a November 1987 article published in the Harvard Business Review, Garvin noted that almost 50% of American consumers believed the quality of American products had dropped in the previous five years.

Garvin believed this was because too many industries were focused on defensive measures that identified and eliminated errors or defects ahead of time.

What’s more, most American companies had not taken quality control seriously until competition from Japanese firms using Total Quality Management (TQM) principles started to intensify.

Instead of defensive measures that were too narrow in scope, Garvin proposed that U.S. companies take a more aggressive stance where quality itself would become a competitive linchpin used to gain and secure market share.

To achieve this today, business managers need to see quality as a business strategy and then break it down into smaller niches to determine markets where the company could realistically enter and compete.

Managers also need a detailed understanding of how their customers perceive product quality before determining which dimensions to target.

Garvin’s 8 dimensions of quality

Garvin’s 8 dimensions of quality are factors that help a product differentiate itself from competitor offerings and increase its value.

Some of these dimensions are mutually reinforcing, while some products could score well for one dimension and poorly for another.

1 – Performance

Performance refers to the primary operating traits of a product that are specified by the manufacturer.

In a new vehicle, for example, performance may encompass top speed, cabin noise, and fuel economy. 

Performance is a way to rank brands objectively using specific attributes. A car with no cabin noise will outperform one where the noise is louder. However, in some cases, performance is harder to define.

A 200W LED is more powerful than a 100W LED, but few consumers would equate the increase in brightness with extra quality.

2 – Features

Features are the so-called “bells and whistles” of a product and are considered a secondary aspect of performance.

Examples listed by Garvin in 1987 include free alcohol on an aircraft and the automatic tuner in a color television.

Like performance characteristics, features involve objective and measurable attributes.

3 – Reliability

This describes the ability of a product or service to perform as expected without instances of failure or malfunction.

Reliability tends to be measured by:

  • The mean time to the first failure.
  • The mean time between the first and subsequent failures, and
  • The failure rate per unit of time.

Reliability tends to become more important to consumers as downtime and maintenance become more expensive.

4 – Conformance

Conformance describes the degree to which a product’s operating and design characteristics meet established quality standards.

These standards may relate to the purity of raw materials or whether a specific product’s features are as described.

In terms of quality, conformance means that products and services operate within a target specification range with a small deviation in quality to either side permitted. 

5 – Durability

Durability measures the length of a product’s life and should not be confused with reliability.

Durability is simple to measure in a product such as a light bulb because when the filament breaks, there is no prospect of it being repaired.

In products that can be repaired, however, durability is more difficult to measure.

Garvin posited that durability could be defined as “the amount of use one gets from a product before it breaks down and replacement is preferable to continued repair.

6 – Serviceability

Serviceability describes the ease with which a product can be fixed. Is the process convenient?

Is the individual or company performing the repair competent and courteous? Do multiple calls or interactions need to occur before the problem is fixed?

Consumers will also judge serviceability on the time it takes for a product or service to be restored to its previous functionality. 

7 – Aesthetics

The aesthetics of a product are one of the most subjective aspects of quality.

Many of us can remember a new vehicle we considered ugly which another person has just paid $50k for.

In addition to the look of a product, aesthetics also deals with other subjective factors such as how it feels, smells, tastes, or sounds.

In this dimension of quality, Garvin noted that it was impossible to please all consumers.

8 – Perceived quality

Like its aesthetics, the perceived quality of a product is another subjective measure.

This measure tends to arise when consumers do not possess all the necessary information about other measures of product or service quality.

Durability, for example, can seldom be observed directly and must instead be deduced from other sources such as product reviews, warranty information, and the broader perceptions or inferences around the brand itself.

Drawbacks of the 8 Dimensions of Quality

Complexity in Measurement

Measuring some dimensions like perceived quality or aesthetics can be subjective and complex, making standardization and objective assessment challenging.

Potential Conflicts Between Dimensions

There can be conflicts between dimensions; for example, enhancing features may reduce reliability or durability, necessitating trade-offs.

Resource Intensiveness

Ensuring high quality across all dimensions can be resource-intensive in terms of time, money, and effort.

Focus on Product Over Process

The model is primarily product-focused and may overlook the importance of process quality.

Rapid Technological Changes

In fast-evolving industries, the constant change can make some dimensions, like features or performance, quickly outdated.

When to Use the 8 Dimensions of Quality

In Product Development

The model is highly useful in product development, guiding teams to consider multiple aspects of quality in the design phase.

For Quality Assessment and Control

The 8 dimensions provide a comprehensive framework for quality assessment and control, ensuring a holistic approach to quality management.

In Customer Satisfaction Analysis

Understanding these dimensions helps in analyzing customer satisfaction and identifying areas for improvement.

For Competitive Analysis

Businesses can use the framework to analyze competitors’ products, identifying areas where they can differentiate themselves.

How to Implement the 8 Dimensions of Quality

Identify Relevant Dimensions

Determine which of the 8 dimensions are most relevant to your product or service and target market.

Establish Standards and Metrics

Develop clear standards and metrics for each relevant dimension of quality.

Integrate into Product Design

Ensure these dimensions are integrated into the product design and development process.

Train Employees

Train employees on the importance of these dimensions and how to achieve them in their roles.

Continuous Monitoring and Improvement

Regularly monitor performance in each dimension and continuously seek ways to improve.

What to Expect from Implementing the 8 Dimensions of Quality

Improved Product Quality

A holistic focus on multiple dimensions of quality can lead to overall improved product quality.

Enhanced Customer Satisfaction

By addressing various aspects of quality, customer satisfaction can be significantly enhanced.

Competitive Advantage

Organizations that effectively implement these dimensions can gain a competitive advantage in the market.

Increased Costs in the Short Term

Initially, there might be increased costs associated with improving quality across multiple dimensions.

Long-Term Gains

In the long run, focusing on comprehensive quality dimensions can lead to greater customer loyalty, brand reputation, and business success.

Key Highlights

  • Background and Motivation: Developed by Harvard Business School Professor David A. Garvin in 1987, the 8 dimensions of quality were introduced as a response to American companies’ need to embrace quality as a competitive strategy due to increasing competition from Japanese firms using Total Quality Management (TQM) principles.
  • Shift in Approach: Garvin suggested moving away from a narrow focus on error prevention and defect elimination towards a proactive strategy where quality becomes a central element in product differentiation and market share acquisition.
  • Strategic Application: The 8 dimensions of quality are used at a strategic level to analyze the characteristics of product or service quality. They provide a framework for evaluating and enhancing different aspects of quality that can lead to market differentiation.
  • The 8 Dimensions: The dimensions are:
    • Performance: The primary operating traits of a product specified by the manufacturer, allowing objective ranking of products.
    • Features: Secondary attributes or “bells and whistles” that enhance product value and differentiation.
    • Reliability: The ability of a product to perform as expected without failures or malfunctions.
    • Conformance: Degree to which a product’s characteristics meet established quality standards.
    • Durability: The product’s lifespan and its ability to endure use without breakdown.
    • Serviceability: The ease with which a product can be repaired and restored.
    • Aesthetics: Subjective aspects of how a product looks, feels, smells, tastes, or sounds.
    • Perceived Quality: Consumers’ subjective assessment of quality based on incomplete information.
  • Strategic Differentiation: These dimensions help products stand out from competitors and add value, allowing companies to differentiate themselves in the market. By excelling in certain dimensions, a product can attract customers and secure market share.
  • Mutual Reinforcement: Some dimensions, like performance and reliability, can reinforce each other. A reliable product that consistently performs well enhances its perceived quality.
  • Subjective Measures: Aesthetics and perceived quality are subjective dimensions, where consumer preferences and individual perceptions play a significant role.
  • Importance to Consumers: The relevance of each dimension varies based on consumer preferences and industry characteristics. For example, in industries with high maintenance costs, reliability and durability become more critical.
  • Market Strategy: To successfully use these dimensions as a competitive strategy, companies must understand their customers’ perceptions and preferences, then target specific dimensions to differentiate their products effectively.
  • Holistic View: The 8 dimensions encourage businesses to view quality more broadly and consider aspects beyond just product defects, such as design, user experience, and customer perceptions.
  • Continuous Improvement: The framework promotes continuous improvement and innovation by focusing on various dimensions to keep products and services competitive over time.

Read Next: Total Quality Management (TQM) Framework In A Nutshell

Connected Agile & Lean Frameworks

AIOps

aiops
AIOps is the application of artificial intelligence to IT operations. It has become particularly useful for modern IT management in hybridized, distributed, and dynamic environments. AIOps has become a key operational component of modern digital-based organizations, built around software and algorithms.

AgileSHIFT

AgileSHIFT
AgileSHIFT is a framework that prepares individuals for transformational change by creating a culture of agility.

Agile Methodology

agile-methodology
Agile started as a lightweight development method compared to heavyweight software development, which is the core paradigm of the previous decades of software development. By 2001 the Manifesto for Agile Software Development was born as a set of principles that defined the new paradigm for software development as a continuous iteration. This would also influence the way of doing business.

Agile Program Management

agile-program-management
Agile Program Management is a means of managing, planning, and coordinating interrelated work in such a way that value delivery is emphasized for all key stakeholders. Agile Program Management (AgilePgM) is a disciplined yet flexible agile approach to managing transformational change within an organization.

Agile Project Management

agile-project-management
Agile project management (APM) is a strategy that breaks large projects into smaller, more manageable tasks. In the APM methodology, each project is completed in small sections – often referred to as iterations. Each iteration is completed according to its project life cycle, beginning with the initial design and progressing to testing and then quality assurance.

Agile Modeling

agile-modeling
Agile Modeling (AM) is a methodology for modeling and documenting software-based systems. Agile Modeling is critical to the rapid and continuous delivery of software. It is a collection of values, principles, and practices that guide effective, lightweight software modeling.

Agile Business Analysis

agile-business-analysis
Agile Business Analysis (AgileBA) is certification in the form of guidance and training for business analysts seeking to work in agile environments. To support this shift, AgileBA also helps the business analyst relate Agile projects to a wider organizational mission or strategy. To ensure that analysts have the necessary skills and expertise, AgileBA certification was developed.

Agile Leadership

agile-leadership
Agile leadership is the embodiment of agile manifesto principles by a manager or management team. Agile leadership impacts two important levels of a business. The structural level defines the roles, responsibilities, and key performance indicators. The behavioral level describes the actions leaders exhibit to others based on agile principles. 

Andon System

andon-system
The andon system alerts managerial, maintenance, or other staff of a production process problem. The alert itself can be activated manually with a button or pull cord, but it can also be activated automatically by production equipment. Most Andon boards utilize three colored lights similar to a traffic signal: green (no errors), yellow or amber (problem identified, or quality check needed), and red (production stopped due to unidentified issue).

Bimodal Portfolio Management

bimodal-portfolio-management
Bimodal Portfolio Management (BimodalPfM) helps an organization manage both agile and traditional portfolios concurrently. Bimodal Portfolio Management – sometimes referred to as bimodal development – was coined by research and advisory company Gartner. The firm argued that many agile organizations still needed to run some aspects of their operations using traditional delivery models.

Business Innovation Matrix

business-innovation
Business innovation is about creating new opportunities for an organization to reinvent its core offerings, revenue streams, and enhance the value proposition for existing or new customers, thus renewing its whole business model. Business innovation springs by understanding the structure of the market, thus adapting or anticipating those changes.

Business Model Innovation

business-model-innovation
Business model innovation is about increasing the success of an organization with existing products and technologies by crafting a compelling value proposition able to propel a new business model to scale up customers and create a lasting competitive advantage. And it all starts by mastering the key customers.

Constructive Disruption

constructive-disruption
A consumer brand company like Procter & Gamble (P&G) defines “Constructive Disruption” as: a willingness to change, adapt, and create new trends and technologies that will shape our industry for the future. According to P&G, it moves around four pillars: lean innovation, brand building, supply chain, and digitalization & data analytics.

Continuous Innovation

continuous-innovation
That is a process that requires a continuous feedback loop to develop a valuable product and build a viable business model. Continuous innovation is a mindset where products and services are designed and delivered to tune them around the customers’ problem and not the technical solution of its founders.

Design Sprint

design-sprint
A design sprint is a proven five-day process where critical business questions are answered through speedy design and prototyping, focusing on the end-user. A design sprint starts with a weekly challenge that should finish with a prototype, test at the end, and therefore a lesson learned to be iterated.

Design Thinking

design-thinking
Tim Brown, Executive Chair of IDEO, defined design thinking as “a human-centered approach to innovation that draws from the designer’s toolkit to integrate the needs of people, the possibilities of technology, and the requirements for business success.” Therefore, desirability, feasibility, and viability are balanced to solve critical problems.

DevOps

devops-engineering
DevOps refers to a series of practices performed to perform automated software development processes. It is a conjugation of the term “development” and “operations” to emphasize how functions integrate across IT teams. DevOps strategies promote seamless building, testing, and deployment of products. It aims to bridge a gap between development and operations teams to streamline the development altogether.

Dual Track Agile

dual-track-agile
Product discovery is a critical part of agile methodologies, as its aim is to ensure that products customers love are built. Product discovery involves learning through a raft of methods, including design thinking, lean start-up, and A/B testing to name a few. Dual Track Agile is an agile methodology containing two separate tracks: the “discovery” track and the “delivery” track.

eXtreme Programming

extreme-programming
eXtreme Programming was developed in the late 1990s by Ken Beck, Ron Jeffries, and Ward Cunningham. During this time, the trio was working on the Chrysler Comprehensive Compensation System (C3) to help manage the company payroll system. eXtreme Programming (XP) is a software development methodology. It is designed to improve software quality and the ability of software to adapt to changing customer needs.

Feature-Driven Development

feature-driven-development
Feature-Driven Development is a pragmatic software process that is client and architecture-centric. Feature-Driven Development (FDD) is an agile software development model that organizes workflow according to which features need to be developed next.

Gemba Walk

gemba-walk
A Gemba Walk is a fundamental component of lean management. It describes the personal observation of work to learn more about it. Gemba is a Japanese word that loosely translates as “the real place”, or in business, “the place where value is created”. The Gemba Walk as a concept was created by Taiichi Ohno, the father of the Toyota Production System of lean manufacturing. Ohno wanted to encourage management executives to leave their offices and see where the real work happened. This, he hoped, would build relationships between employees with vastly different skillsets and build trust.

GIST Planning

gist-planning
GIST Planning is a relatively easy and lightweight agile approach to product planning that favors autonomous working. GIST Planning is a lean and agile methodology that was created by former Google product manager Itamar Gilad. GIST Planning seeks to address this situation by creating lightweight plans that are responsive and adaptable to change. GIST Planning also improves team velocity, autonomy, and alignment by reducing the pervasive influence of management. It consists of four blocks: goals, ideas, step-projects, and tasks.

ICE Scoring

ice-scoring-model
The ICE Scoring Model is an agile methodology that prioritizes features using data according to three components: impact, confidence, and ease of implementation. The ICE Scoring Model was initially created by author and growth expert Sean Ellis to help companies expand. Today, the model is broadly used to prioritize projects, features, initiatives, and rollouts. It is ideally suited for early-stage product development where there is a continuous flow of ideas and momentum must be maintained.

Innovation Funnel

innovation-funnel
An innovation funnel is a tool or process ensuring only the best ideas are executed. In a metaphorical sense, the funnel screens innovative ideas for viability so that only the best products, processes, or business models are launched to the market. An innovation funnel provides a framework for the screening and testing of innovative ideas for viability.

Innovation Matrix

types-of-innovation
According to how well defined is the problem and how well defined the domain, we have four main types of innovations: basic research (problem and domain or not well defined); breakthrough innovation (domain is not well defined, the problem is well defined); sustaining innovation (both problem and domain are well defined); and disruptive innovation (domain is well defined, the problem is not well defined).

Innovation Theory

innovation-theory
The innovation loop is a methodology/framework derived from the Bell Labs, which produced innovation at scale throughout the 20th century. They learned how to leverage a hybrid innovation management model based on science, invention, engineering, and manufacturing at scale. By leveraging individual genius, creativity, and small/large groups.

Lean vs. Agile

lean-methodology-vs-agile
The Agile methodology has been primarily thought of for software development (and other business disciplines have also adopted it). Lean thinking is a process improvement technique where teams prioritize the value streams to improve it continuously. Both methodologies look at the customer as the key driver to improvement and waste reduction. Both methodologies look at improvement as something continuous.

Lean Startup

startup-company
A startup company is a high-tech business that tries to build a scalable business model in tech-driven industries. A startup company usually follows a lean methodology, where continuous innovation, driven by built-in viral loops is the rule. Thus, driving growth and building network effects as a consequence of this strategy.

Minimum Viable Product

minimum-viable-product
As pointed out by Eric Ries, a minimum viable product is that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort through a cycle of build, measure, learn; that is the foundation of the lean startup methodology.

Leaner MVP

leaner-mvp
A leaner MVP is the evolution of the MPV approach. Where the market risk is validated before anything else

Kanban

kanban
Kanban is a lean manufacturing framework first developed by Toyota in the late 1940s. The Kanban framework is a means of visualizing work as it moves through identifying potential bottlenecks. It does that through a process called just-in-time (JIT) manufacturing to optimize engineering processes, speed up manufacturing products, and improve the go-to-market strategy.

Jidoka

jidoka
Jidoka was first used in 1896 by Sakichi Toyoda, who invented a textile loom that would stop automatically when it encountered a defective thread. Jidoka is a Japanese term used in lean manufacturing. The term describes a scenario where machines cease operating without human intervention when a problem or defect is discovered.

PDCA Cycle

pdca-cycle
The PDCA (Plan-Do-Check-Act) cycle was first proposed by American physicist and engineer Walter A. Shewhart in the 1920s. The PDCA cycle is a continuous process and product improvement method and an essential component of the lean manufacturing philosophy.

Rational Unified Process

rational-unified-process
Rational unified process (RUP) is an agile software development methodology that breaks the project life cycle down into four distinct phases.

Rapid Application Development

rapid-application-development
RAD was first introduced by author and consultant James Martin in 1991. Martin recognized and then took advantage of the endless malleability of software in designing development models. Rapid Application Development (RAD) is a methodology focusing on delivering rapidly through continuous feedback and frequent iterations.

Retrospective Analysis

retrospective-analysis
Retrospective analyses are held after a project to determine what worked well and what did not. They are also conducted at the end of an iteration in Agile project management. Agile practitioners call these meetings retrospectives or retros. They are an effective way to check the pulse of a project team, reflect on the work performed to date, and reach a consensus on how to tackle the next sprint cycle. These are the five stages of a retrospective analysis for effective Agile project management: set the stage, gather the data, generate insights, decide on the next steps, and close the retrospective.

Scaled Agile

scaled-agile-lean-development
Scaled Agile Lean Development (ScALeD) helps businesses discover a balanced approach to agile transition and scaling questions. The ScALed approach helps businesses successfully respond to change. Inspired by a combination of lean and agile values, ScALed is practitioner-based and can be completed through various agile frameworks and practices.

SMED

smed
The SMED (single minute exchange of die) method is a lean production framework to reduce waste and increase production efficiency. The SMED method is a framework for reducing the time associated with completing an equipment changeover.

Spotify Model

spotify-model
The Spotify Model is an autonomous approach to scaling agile, focusing on culture communication, accountability, and quality. The Spotify model was first recognized in 2012 after Henrik Kniberg, and Anders Ivarsson released a white paper detailing how streaming company Spotify approached agility. Therefore, the Spotify model represents an evolution of agile.

Test-Driven Development

test-driven-development
As the name suggests, TDD is a test-driven technique for delivering high-quality software rapidly and sustainably. It is an iterative approach based on the idea that a failing test should be written before any code for a feature or function is written. Test-Driven Development (TDD) is an approach to software development that relies on very short development cycles.

Timeboxing

timeboxing
Timeboxing is a simple yet powerful time-management technique for improving productivity. Timeboxing describes the process of proactively scheduling a block of time to spend on a task in the future. It was first described by author James Martin in a book about agile software development.

Scrum

what-is-scrum
Scrum is a methodology co-created by Ken Schwaber and Jeff Sutherland for effective team collaboration on complex products. Scrum was primarily thought for software development projects to deliver new software capability every 2-4 weeks. It is a sub-group of agile also used in project management to improve startups’ productivity.

Scrumban

scrumban
Scrumban is a project management framework that is a hybrid of two popular agile methodologies: Scrum and Kanban. Scrumban is a popular approach to helping businesses focus on the right strategic tasks while simultaneously strengthening their processes.

Scrum Anti-Patterns

scrum-anti-patterns
Scrum anti-patterns describe any attractive, easy-to-implement solution that ultimately makes a problem worse. Therefore, these are the practice not to follow to prevent issues from emerging. Some classic examples of scrum anti-patterns comprise absent product owners, pre-assigned tickets (making individuals work in isolation), and discounting retrospectives (where review meetings are not useful to really make improvements).

Scrum At Scale

scrum-at-scale
Scrum at Scale (Scrum@Scale) is a framework that Scrum teams use to address complex problems and deliver high-value products. Scrum at Scale was created through a joint venture between the Scrum Alliance and Scrum Inc. The joint venture was overseen by Jeff Sutherland, a co-creator of Scrum and one of the principal authors of the Agile Manifesto.

Six Sigma

six-sigma
Six Sigma is a data-driven approach and methodology for eliminating errors or defects in a product, service, or process. Six Sigma was developed by Motorola as a management approach based on quality fundamentals in the early 1980s. A decade later, it was popularized by General Electric who estimated that the methodology saved them $12 billion in the first five years of operation.

Stretch Objectives

stretch-objectives
Stretch objectives describe any task an agile team plans to complete without expressly committing to do so. Teams incorporate stretch objectives during a Sprint or Program Increment (PI) as part of Scaled Agile. They are used when the agile team is unsure of its capacity to attain an objective. Therefore, stretch objectives are instead outcomes that, while extremely desirable, are not the difference between the success or failure of each sprint.

Toyota Production System

toyota-production-system
The Toyota Production System (TPS) is an early form of lean manufacturing created by auto-manufacturer Toyota. Created by the Toyota Motor Corporation in the 1940s and 50s, the Toyota Production System seeks to manufacture vehicles ordered by customers most quickly and efficiently possible.

Total Quality Management

total-quality-management
The Total Quality Management (TQM) framework is a technique based on the premise that employees continuously work on their ability to provide value to customers. Importantly, the word “total” means that all employees are involved in the process – regardless of whether they work in development, production, or fulfillment.

Waterfall

waterfall-model
The waterfall model was first described by Herbert D. Benington in 1956 during a presentation about the software used in radar imaging during the Cold War. Since there were no knowledge-based, creative software development strategies at the time, the waterfall method became standard practice. The waterfall model is a linear and sequential project management framework. 

Read Also: Continuous InnovationAgile MethodologyLean StartupBusiness Model InnovationProject Management.

Read Next: Agile Methodology, Lean Methodology, Agile Project Management, Scrum, Kanban, Six Sigma.

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