waterfall-model

What Is The Waterfall Model? Waterfall Model In A Nutshell

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. 

Waterfall ModelKey ElementsAnalysisImplicationsApplicationsExamples
DefinitionThe Waterfall Model is a sequential software development process in which progress flows in one direction through discrete phases: Requirements, Design, Implementation, Testing, Deployment, and Maintenance. Each phase must be completed before moving to the next.Analyzing the Waterfall Model involves understanding its structured, linear approach. Each phase has defined inputs and outputs, and there is minimal overlap or iteration between phases. It is well-suited for projects with clear and stable requirements.The Waterfall Model provides a systematic and disciplined approach to software development. It ensures that each phase is completed thoroughly before moving forward, which can lead to high-quality results. However, it may be less adaptable to changing requirements or unexpected issues.The Waterfall Model is commonly used for projects with well-defined and stable requirements, such as software for regulatory compliance, critical systems, or projects where the cost of errors is high.– Regulatory compliance software development: Ensuring that software meets specific legal or regulatory requirements. – Aerospace software development: Creating software for critical systems in aircraft. – Embedded software development: Developing software for medical devices with stringent safety requirements.
PhasesThe Waterfall Model consists of distinct phases: 1. Requirements: Gathering and documenting project requirements. 2. Design: Creating detailed design specifications based on requirements. 3. Implementation: Writing and coding the software based on design specifications. 4. Testing: Verifying that the software meets requirements and functions correctly. 5. Deployment: Delivering the software to users or customers. 6. Maintenance: Addressing issues, making updates, and providing ongoing support.Analyzing the phases involves recognizing their sequential nature. Progression to the next phase typically requires completion and approval of the previous one. The Waterfall Model assumes that requirements are well-understood and stable, which can be a limitation in dynamic environments.The phase-by-phase structure ensures that each aspect of the project is thoroughly considered and completed before proceeding. This reduces the risk of missing critical requirements or design flaws. However, it may be less flexible in accommodating changes or evolving user needs.The Waterfall Model is best suited for projects with clear, stable requirements, and minimal uncertainty. It is often used in industries where strict quality control and documentation are essential.– Medical device software development: Ensuring that software for medical equipment complies with regulatory standards. – Defense and aerospace projects: Developing software for critical systems in military and space applications. – Large-scale infrastructure projects: Managing software development for complex and regulated infrastructure projects.
Analysis and DesignIn the Waterfall Model, the Analysis and Design phases involve creating detailed specifications for the software based on the gathered requirements. It includes architectural design, data design, and user interface design.Analyzing the Analysis and Design phases emphasizes their importance in translating requirements into a comprehensive design. This phase ensures that the software’s structure, functionality, and user interface are well-defined before implementation begins.Effective Analysis and Design phases lay the foundation for successful software development. Well-defined specifications guide the implementation process and help identify potential issues early, reducing the likelihood of costly changes later in the project.Analysis and Design are critical for projects with complex or specialized requirements. They ensure that the software’s structure and functionality align with user needs and project goals.– Enterprise software development: Creating complex software systems with extensive functionality and user interfaces. – Embedded systems development: Designing software for specialized hardware devices with specific requirements. – Custom application development: Building software tailored to unique business needs.
TestingIn the Testing phase, the software is rigorously tested to verify that it meets the specified requirements and functions correctly. Testing includes unit testing, integration testing, system testing, and user acceptance testing.Analyzing the Testing phase underscores its significance in ensuring software quality and functionality. Comprehensive testing helps identify defects, errors, and discrepancies between the software and requirements. It is crucial for validating that the software meets user needs.Effective testing is essential for delivering high-quality software. Thorough testing reduces the risk of defects and errors in the final product, improving user satisfaction and minimizing post-deployment issues. However, testing can be time-consuming and resource-intensive.Rigorous testing is particularly important in safety-critical systems, where software failures can have severe consequences. It is also crucial in industries with strict regulatory requirements, such as healthcare and finance.– Healthcare software testing: Ensuring that medical software functions correctly and complies with regulatory standards. – Financial software testing: Verifying the accuracy and security of financial software systems. – Automotive software testing: Testing software for safety-critical functions in vehicles.
DeploymentThe Deployment phase involves delivering the completed software to users or customers for production use. It includes installation, configuration, user training, and transitioning from development to operational support.Analyzing the Deployment phase emphasizes its role in making the software available for users. This phase requires careful planning to ensure a smooth transition from development to production, minimizing disruptions and ensuring that users can effectively use the software.Successful deployment ensures that users have access to the software and can benefit from its features. It involves coordinating various activities, from installation to training, to ensure a seamless user experience. Deployment may require ongoing support to address any issues that arise.Deployment is critical for delivering the software’s value to users and realizing the project’s objectives. It is essential to consider user needs and ensure a smooth transition from development to production use.– Enterprise software deployment: Installing and configuring complex software systems in organizations. – Software-as-a-Service (SaaS) deployment: Providing cloud-based software solutions to customers. – Healthcare IT system deployment: Implementing electronic health record (EHR) systems in healthcare facilities.
MaintenanceThe Maintenance phase involves providing ongoing support, updates, and enhancements to the software. It includes fixing defects, addressing user feedback, making updates to meet changing requirements, and ensuring the software remains reliable and secure.Analyzing the Maintenance phase recognizes its long-term commitment to software quality and usability. It requires a responsive support team, a process for managing change requests, and a proactive approach to addressing issues and evolving user needs.Effective maintenance ensures that the software remains valuable and continues to meet user needs over time. It requires monitoring for defects and vulnerabilities, applying updates, and making enhancements as technology and user requirements change. Maintenance is ongoing and may extend the software’s lifecycle.Maintenance is a critical phase for long-lived software systems, including legacy applications and mission-critical software. It supports the software’s sustainability and adaptability in dynamic environments.– Legacy software maintenance: Supporting and updating older software systems to ensure continued functionality. – Enterprise software support: Providing ongoing support and updates for complex business applications. – Government software maintenance: Ensuring that government software systems remain secure and compliant.

Understanding the waterfall model

Fourteen years later, American computer scientist Winston Walker Royce published the first formal diagram of the process which would later become known as the waterfall model.

Royce suggested that Benington’s model was flawed because testing only happened at the end of the process.

To address potential sources of failure and mitigate risk, he introduced five steps where progress flows from the top to the bottom like a waterfall.

As significant as the contributions of Bennington and Royce were, it is important to note that neither used the term waterfall to describe their work.

That distinction goes to Bell and Thayer, who mentioned the term in a 1976 paper titled Software Requirements: Are They Really A Problem?

Despite the recent popularity of more iterative agile methods, the waterfall method is still relevant today – particularly for large internal projects that do not benefit from rapid customer feedback or the strict control of materials or distribution.

Furthermore, the model is relatively easy to implement and manage and follows the same sequential steps for each project.

With start and end points clearly defined, project risks, deadlines, and progress are easily communicated to the relevant stakeholders. 

The seven phases of the waterfall model

The number and indeed the nature of waterfall model phases varies according to the particular interpretation, business, or industry.

Regardless of the context, each phase in the model is completely dependent on the previous one and must be completed, reviewed, and approved before the next phase can begin.

The seven phases, with a particular focus on software development, include:

Conception

The first phase starts with an idea and a baseline assessment of the project and its costs and benefits.

Initiation

With the project defined, the objectives, purpose, scope, and deliverables must also be defined by assembling the project team.

Requirement analysis

Here, the team identifies project requirements and stakeholder expectations by gathering information from surveys, questionnaires, and brainstorming, among other methods.

Before moving to the next phase, project requirements must be documented and distributed to each member of the team.

System design

Requirements are then analyzed and a system design is prepared, with many companies using a Gantt chart to create a schedule.

Some businesses choose to divide system design into two phases: logical design and physical design.

Logical design involves brainstorming possible solutions, while physical design involves transforming the brainstormed ideas into concrete specifications.

While no coding should occur during software development, the team may establish hardware requirements or a programming language.

Implementation

Here, programmers use the requirements and specifications to create a functional product.

Team members are assigned specific tasks which are monitored and tracked to avoid bottlenecks.

Progress is also regularly reported to stakeholders.

Lastly, code is typically written in small pieces in preparation for the next phase.

Testing

The code is then tested methodically for errors before the product is delivered to the customer.

User acceptance tests can be incorporated during this phase, where users try the product before it is released to the general public.

During the latter stages of the testing phase, any freelance contractors are paid out and a project template is created for use in similar future projects. 

Maintenance

In the final phase, customers report additional, real-world usage issues. Based on this feedback, the core project team works to solve problems and modify the software where necessary.

Significant issues may force the team to return to phase three and repeat the process.

Drawbacks of the Waterfall Model

Lack of Flexibility:

  • Rigid Structure: The sequential nature of the Waterfall model makes it inflexible, as it typically does not accommodate going back to a previous phase once it’s completed.
  • Difficulty Adapting to Changes: The model struggles with adapting to changes in requirements or scope that occur mid-project.

High Risk and Uncertainty:

  • Risk of Late Problem Discovery: Issues or misalignments might not be discovered until the testing phase, which can be costly and time-consuming to fix.
  • Potential for Escalating Costs: Any significant changes required at later stages can significantly escalate costs.

Inadequate Client Involvement:

  • Limited Client Feedback: Clients are typically involved mainly at the beginning and end of the project, leading to a lack of continuous feedback.
  • Risk of Not Meeting Client Expectations: The final product may not meet client expectations if requirements were misunderstood or changed over time.

Poor Response to Complexity:

  • Not Ideal for Large or Complex Projects: The Waterfall model can be challenging to apply effectively to large or complex projects due to its linear approach.
  • Ineffective for Long or Ongoing Projects: For projects with long timelines, the likelihood of changes in market or client requirements increases, making the Waterfall model less suitable.

When to Use the Waterfall Model

Suitable Scenarios:

  • Well-Defined Projects: Effective for small to medium-sized projects with well-defined requirements and low risk of change.
  • Short-Term Projects: Suitable for projects with short timelines where requirements are not expected to change.
  • Sequential Projects: Ideal for projects where each phase needs to be completed before the next begins, such as in certain construction or manufacturing processes.

Strategic Application:

  • Requirement-Heavy Initiatives: Can be useful in scenarios where documentation and upfront requirement definition are critical.
  • Regulatory or Compliance Projects: Useful in projects where phases are required to be completed and documented before moving to the next, often due to regulatory reasons.

How to Use the Waterfall Model

Implementing the Sequential Phases:

  1. Requirements Gathering and Documentation: Clearly define and document all requirements at the beginning of the project.
  2. System Design: Create a comprehensive system design based on the defined requirements.
  3. Implementation: Develop the system based on the design specifications.
  4. Testing: Thoroughly test the completed system to ensure it meets the requirements.
  5. Deployment: Deploy the system in the target environment.
  6. Maintenance: Provide ongoing maintenance and support post-deployment.

Best Practices:

  • Thorough Requirement Analysis: Invest significant effort in the requirements phase to minimize changes later on.
  • Regular Documentation: Maintain comprehensive documentation throughout the project lifecycle.
  • Client Checkpoints: Establish regular checkpoints with clients or stakeholders to gather feedback and ensure alignment.

What to Expect from Implementing the Waterfall Model

Structured Approach and Planning:

  • Predictable Process: Offers a clear, structured approach with well-defined phases.
  • Ease of Management: Simplicity in planning and managing due to its linear approach.

Potential Challenges:

  • Inflexibility to Changes: Challenges in accommodating changes that arise during the project.
  • Late Delivery of Complete Product: The end product is only available at the end of the timeline, potentially delaying time-to-market.

Impact on Project Outcomes:

  • Risk of Overruns: Potential for budget and time overruns if significant revisions are required.
  • Quality at Project End: High potential for quality outputs if requirements are stable and clearly defined from the start.

Suitability:

  • Best Fit for Certain Industries: More suited to industries and projects where change is minimal and requirements are unlikely to be altered.

Key takeaways

  • The waterfall model is a linear and sequential project management framework. The waterfall model concept was first described by Herbert D. Benington during a presentation about the software used in radar imaging.
  • The waterfall model is still relevant today and is particularly useful for large internal projects that do not benefit from rapid customer feedback or the strict control of materials.
  • The waterfall model is comprised of seven phases: conception, initiation, requirements analysis, system design, implementation, testing, and maintenance. Each phase must be completed, reviewed, and approved before the next phase can begin.

Key Highlights

  • Introduction and Background:
    • The waterfall model was first described by Herbert D. Benington in 1956, inspired by software used in radar imaging during the Cold War.
    • It became standard practice due to the absence of knowledge-based software development strategies at the time.
  • Understanding the Waterfall Model:
    • American computer scientist Winston Walker Royce formalized the model 14 years later.
    • Royce introduced a five-step sequential process to address flaws in the original approach.
    • The term “waterfall” was coined by Bell and Thayer in a 1976 paper.
    • Despite agile methods, the waterfall model remains relevant for certain projects, especially those lacking rapid customer feedback.
  • Phases of the Waterfall Model:
    • The model consists of seven phases that build upon each other sequentially.
    • Each phase must be completed, reviewed, and approved before progressing to the next one.
    • The phases are as follows:
      1. Conception: Idea and assessment of project costs and benefits.
      2. Initiation: Defining project objectives, scope, and assembling the team.
      3. Requirement Analysis: Identifying project requirements and stakeholder expectations.
      4. System Design: Creating a system design based on requirements, often divided into logical and physical design.
      5. Implementation: Programmers create a functional product based on specifications, with progress tracked and reported.
      6. Testing: Methodical testing and user acceptance testing occur before product delivery.
      7. Maintenance: Real-world usage feedback leads to problem-solving, modification, and potential iteration.
  • Key Takeaways:
    • The waterfall model is a linear and sequential project management framework.
    • First described by Herbert D. Benington, it provides a structured approach to software development.
    • Comprised of seven phases, the model’s phases must be completed and approved in sequence.
    • The waterfall model remains relevant for large internal projects without rapid customer feedback.

Other Time Management Frameworks

Lightning Decision Jam

lockes-goal-setting-theory
The theory was developed by psychologist Edwin Locke who also has a background in motivation and leadership research. Locke’s goal-setting theory of motivation provides a framework for setting effective and motivating goals. Locke was able to demonstrate that goal setting was linked to performance.

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.

SMART Goals

smart-goals
A SMART goal is any goal with a carefully planned, concise, and trackable objective. Be such a goal needs to be specific, measurable, achievable, relevant, and time-based. Bringing structure and trackability to goal setting increases the chances goals will be achieved, and it helps align the organization around those goals.

Pomodoro Technique

pomodoro-technique
The Pomodoro Technique was created by Italian business consultant Francesco Cirillo in the late 1980s. The Pomodoro Technique is a time management system where work is performed in 25-minute intervals.

Eisenhower Matrix

eisenhower-matrix
The Eisenhower Matrix is a tool that helps businesses prioritize tasks based on their urgency and importance, named after Dwight D. Eisenhower, President of the United States from 1953 to 1961, the matrix helps businesses and individuals differentiate between the urgent and important to prevent urgent things (seemingly useful in the short-term) cannibalize important things (critical for long-term success).

MoSCoW Method

moscow-method
Prioritization plays a crucial role in every business. In an ideal world, businesses have enough time and resources to complete every task within a project satisfactorily. The MoSCoW method is a task prioritization framework. It is most effective in situations where many tasks must be prioritized into an actionable to-do list. The framework is based on four main categories that give it the name: Must have (M), Should have (S), Could have (C), and Won’t have (W).

Action Priority Matrix

action-priority-matrix
An action priority matrix is a productivity tool that helps businesses prioritize certain tasks and objectives over others. The matrix itself is represented by four quadrants on a typical cartesian graph. These quadrants are plotted against the effort required to complete a task (x-axis) and the impact (benefit) that each task brings once completed (y-axis). This matrix helps assess what projects need to be undertaken and the potential impact for each.

Read Next: Business AnalysisCompetitor Analysis, Continuous InnovationAgile MethodologyLean StartupBusiness Model InnovationProject Management.

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.

Main Guides:

Main Case Studies:

Discover more from FourWeekMBA

Subscribe now to keep reading and get access to the full archive.

Continue reading

Scroll to Top
FourWeekMBA