dreyfus-model-of-skill-acquisition

What Is The Dreyfus Model Of Skill Acquisition? The Dreyfus Model Of Skill Acquisition In A Nutshell

The Dreyfus model of skill acquisition was developed by brothers Hubert and Stuart Dreyfus at the University of California, Berkeley, in 1980. The Dreyfus model of skill acquisition is a learning progression framework. It argues that as one learns a new skill via external instruction, they pass through five stages of development: novice, advanced beginner, competent, proficient, and expert.

ElementDescriptionImplicationsKey CharacteristicsExamplesApplications
Dreyfus Model OverviewThe Dreyfus Model, developed by Stuart and Hubert Dreyfus, is a model of skill acquisition that describes how individuals progress from novice to expert in various domains. The model identifies five distinct stages of skill development.– Provides a framework for understanding the stages of skill acquisition and the transition from novice to expert. – Highlights the importance of experience, practice, and context in skill development. – Recognizes that novices and experts approach tasks differently and require different types of guidance and support.– Five distinct stages of skill development: Novice, Advanced Beginner, Competent, Proficient, and Expert. – Novices rely on rules and guidelines, while experts rely on intuition and experience. – Skill acquisition involves a shift from rigid adherence to rules to more flexible and intuitive decision-making.– Learning to play a musical instrument, such as the piano or guitar, starting as a novice and progressing to an expert musician. – Advancing in a martial art, such as Karate or Judo, from a beginner to a black belt expert. – Developing expertise in a specific field, such as medicine or software development, over years of practice and experience.– Design training programs and curriculum that align with the stages of skill development. – Tailor coaching and guidance to individuals based on their skill level and needs. – Assess and evaluate an individual’s skill level to provide appropriate challenges and support.
NoviceNovices are beginners who have little to no experience in a particular domain. They rely on explicit rules and guidelines to perform tasks and lack the ability to adapt to novel situations.– Novices require clear, step-by-step instructions and supervision to perform tasks. – They may struggle when faced with unexpected or complex situations. – The focus is on following rules and procedures.– Limited experience and exposure to the domain. – Rely heavily on rules and guidelines for decision-making. – Tend to be task-focused and may lack a broader understanding of the domain.– Someone learning to ride a bicycle for the first time, following instructions and guidance from an experienced rider. – A novice cook following a recipe to prepare a meal, step by step. – A beginner in a programming language following coding examples and tutorials.– Provide structured training and guidance for novices. – Emphasize the importance of foundational knowledge and adherence to rules. – Encourage practice and repetition to build basic skills.
Advanced BeginnerAdvanced beginners have gained some experience and can perform tasks with less guidance. They can recognize patterns and make some decisions based on their limited experience.– Advanced beginners benefit from additional context and exposure to real-world scenarios. – They may start to recognize similarities between situations and apply their limited experience. – Their decision-making may still be somewhat rigid and rule-based.– Increasing exposure to the domain, allowing for pattern recognition. – Beginning to make connections between similar situations. – Developing a more nuanced understanding of the domain.– A driver who has recently obtained a driver’s license and can navigate familiar routes independently. – An early-career nurse who can handle routine patient care tasks with less direct supervision. – A software developer with some experience in a programming language, able to modify existing code.– Provide opportunities for advanced beginners to apply their skills in real-world contexts. – Encourage reflection on their experiences to enhance learning. – Gradually expose them to more complex and diverse situations.
CompetentCompetent individuals have gained further experience and are capable of handling a range of situations independently. They can prioritize tasks, adapt to variations, and make more flexible decisions.– Competent individuals are more self-reliant and require less supervision. – They can manage multiple tasks and prioritize effectively. – Their decision-making is less rule-based and more based on a combination of experience and intuition.– Accumulated experience in a variety of situations. – Ability to prioritize tasks and adapt to changing conditions. – Increasing reliance on intuition and judgment, alongside practical knowledge.– An experienced project manager who can handle multiple projects simultaneously, making decisions based on experience and judgment. – A nurse with years of experience who can assess and manage complex patient cases effectively. – A software architect who can design complex systems and make critical technical decisions independently.– Provide opportunities for competent individuals to take on more responsibility and leadership roles. – Encourage ongoing learning and reflection to refine judgment and decision-making skills. – Support them in mentoring and guiding less experienced individuals.
ProficientProficient individuals have developed a deep understanding of the domain and can anticipate outcomes in various situations. They exhibit a high level of expertise and can adapt creatively to novel challenges.– Proficient individuals are self-directed and can act as resources for others. – They excel in complex and dynamic situations, often using creativity and intuition. – They contribute significantly to innovation and problem-solving in their domain.– Extensive experience and exposure to diverse situations. – Ability to anticipate outcomes and adapt creatively. – Strong reliance on intuition and a deep understanding of the domain.– A master chef who can create innovative dishes, adapt recipes on the fly, and train other chefs. – A seasoned emergency room physician who can diagnose complex cases quickly and effectively. – A software engineer recognized for designing groundbreaking algorithms and systems.– Provide opportunities for proficient individuals to lead and mentor others. – Encourage them to contribute to the development of best practices and innovations in the field. – Recognize and reward their expertise and contributions.
ExpertExperts have reached the highest level of skill acquisition. They possess an intuitive understanding of the domain, can handle the most challenging situations, and often redefine the field through their contributions.– Experts are sought after for their unparalleled knowledge and problem-solving abilities. – They can tackle the most complex and novel challenges with ease. – They play a significant role in advancing the domain and mentoring others.– Vast and extensive experience in the domain. – Exceptional intuition and problem-solving abilities. – Recognition as leaders and authorities in the field.– A world-renowned astrophysicist who has made groundbreaking discoveries and theories. – A legendary jazz musician celebrated for innovative compositions and performances. – A cybersecurity expert recognized for identifying and mitigating advanced threats.– Celebrate and leverage the expertise of experts to push the boundaries of the domain. – Encourage them to mentor and inspire the next generation of practitioners. – Create platforms for experts to share their knowledge and insights with a broader community.
Applications– Education and training programs can be designed to align with the stages of skill development. – Organizations can assess the skill levels of their employees to provide appropriate support and opportunities. – Mentoring and coaching programs can be tailored to the needs of individuals at different stages of skill acquisition.– Organizations can better match tasks and responsibilities to the skill levels of employees. – Skill development programs can be customized to accelerate progression. – Expertise recognition and knowledge sharing can be facilitated within organizations.

Understanding the Dreyfus model of skill acquisition

In their original paper, Hubert and Stuart Dreyfus brothers noted that “In acquiring a skill by means of instruction and experience, the student normally passes through five development stages.. We argue, based on analysis of careful descriptions of skill acquisition, that as the student becomes skilled, he depends less on abstract principles and more on concrete experience.

The Dreyfus model is widely used to provide a means of assessing and supporting progress in the development of new skills and competencies. By extension, it also defines an acceptable level for the assessment of these skills and competencies.

The five stages of development in the Dreyfus model

Following is a look at the five stages of development that explain how a learner progresses:

  1. Novice – a novice learner has little or no experience or background knowledge. As a result, they must adhere to a clear set of rules or guidelines and often need supervision to complete tasks.
  2. Advanced beginner – once the novice has learned the basic rules of a skill, they progress to advanced beginner. Here, they begin applying rules to new situations and receive important feedback when they make a mistake. All task attributes and aspects are treated separately and given equal importance, but the individual may be able to complete some tasks unsupervised.
  3. Competent – during the competency stage, the learner encounters situations where the rules don’t apply or where it is unclear which rules should be used. This can lead to the individual becoming paralyzed by indecision. Over time, they realize the futility in trying to apply each rule in every situation. They also begin to see their actions in the context of long-term goals through conscious and deliberate planning.
  4. Proficient – generally speaking, the proficient individual can select an appropriate course of action for any situation with confidence. This is the point where learning transitions from rule-based to situation-based. Reaching this stage requires many hours of deliberate practice – there is no way to subvert this process.
  5. Expert – in the expert stage, action is driven by intuition derived from a deep understanding of the subject matter. Dreyfus said that “the ability to make more subtle and refined discriminations is what distinguishes the expert from the proficient performer.” To the outside observer, the performance of an expert appears effortless and to some extent, magical. The expert does not rest on his or her laurels. In other words, they must revert to an earlier stage if changes in their field of expertise necessitate new learning.

Drawbacks of the Dreyfus Model of Skill Acquisition

Over-Simplification of Skill Development:

  • Linear Progression Assumption: The model suggests a linear progression through stages, which may not accurately capture the complex, often non-linear nature of skill development.
  • Doesn’t Account for Individual Variability: It overlooks the unique ways individuals learn and develop skills, potentially leading to a one-size-fits-all approach.

Lack of Emphasis on External Factors:

  • Neglects the Role of Environment: The model doesn’t explicitly consider the impact of external factors like learning environments, resources, or mentorship on skill acquisition.
  • Overlooks Social and Emotional Aspects: Focuses primarily on cognitive and experiential aspects, potentially neglecting the role of social interaction and emotional intelligence in skill development.

Potential Misinterpretation:

  • Risk of Labeling Learners: Assigning learners to specific stages could lead to stereotyping or pigeonholing, potentially limiting their perceived capabilities.
  • Inflexibility in Teaching and Training: Rigid adherence to the model might limit the flexibility needed in teaching or coaching to accommodate different learning styles or needs.

Limited Scope:

  • Not Universally Applicable: Originally developed based on observations in the field of aviation, its applicability to other domains or complex cognitive skills can be limited.
  • Focuses Mainly on Cognitive Skills: While useful for understanding the acquisition of cognitive and psychomotor skills, it may not be as applicable to affective skills or attitudes.

When to Use the Dreyfus Model of Skill Acquisition

Appropriate Contexts:

  • Skill Development Programs: Can be used as a framework for designing structured skill development or training programs in various fields.
  • Self-Assessment and Personal Development: Individuals can use the model to self-assess their level of proficiency in a particular skill and plan their learning journey.

Strategic Application:

  • Professional Development: Useful in professional settings for identifying stages of expertise and designing appropriate career development paths.
  • Education and Training: In educational settings, it helps in tailoring instruction and support according to the learner’s stage.

How to Use the Dreyfus Model of Skill Acquisition

Implementing the Five Stages:

  1. Novice: Provide clear instructions and rules. Avoid overwhelming with too many choices or options.
  2. Advanced Beginner: Introduce guidelines and encourage the application of learned skills in real-life situations.
  3. Competent: Encourage planning and goal-setting. Provide opportunities for independent problem-solving.
  4. Proficient: Support in developing intuition to analyze situations. Offer complex challenges and scenarios.
  5. Expert: Facilitate opportunities for them to mentor others, contribute to policy, or innovate in their field.

Teaching and Training Considerations:

  • Adaptability: Be prepared to adapt teaching strategies to suit learners at different stages.
  • Feedback and Support: Offer regular, constructive feedback and appropriate support to facilitate progression to the next stage.

What to Expect from Implementing the Dreyfus Model of Skill Acquisition

Enhanced Understanding of Learning Progression:

  • Clearer Development Path: Offers a structured approach to understanding and facilitating skill development.
  • Recognition of Milestones: Helps in recognizing and celebrating milestones in skill acquisition.

Potential Challenges:

  • Varied Learning Paces: Individuals may progress through the stages at different speeds, requiring personalized teaching or training approaches.
  • Over-Reliance on Stages: There’s a risk of becoming too reliant on the model, potentially overlooking other important aspects of learning and development.

Impact on Training and Development:

  • Improved Training Programs: Can lead to more effective and targeted training programs.
  • Increased Learner Engagement: Understanding their stage of development might increase learners’ engagement and motivation.

Long-Term Benefits:

  • Skill Mastery: Facilitates a deeper understanding and mastery of skills.
  • Professional Growth: Can contribute significantly to personal and professional growth.

Key takeaways:

  • The Dreyfus model of skill acquisition is a learning progression framework developed by brothers Hubert and Stuart Dreyfus in 1980.
  • The Dreyfus model of skill acquisition evaluates and supports the development of new skills as the learner relies less on abstract principles and more on concrete evidence.
  • The Dreyfus model of skill acquisition has five key stages: novice, advanced beginner, competent, proficient, and expert. Each stage represents a linear model, but the Dreyfus framework can be treated as cyclical if an expert needs to learn new knowledge.

Key Highlights

  • Model Origin:
    • Developed by brothers Hubert and Stuart Dreyfus at the University of California, Berkeley, in 1980.
    • A framework that describes the process of acquiring and developing skills over time.
  • Learning Progression Framework:
    • Provides a structured understanding of how individuals learn and progress in acquiring new skills.
    • Offers a roadmap for skill development from initial stages to expert level.
  • Five Stages of Development:
    • Novice Stage:
      • Characterized by limited or no experience in the skill.
      • Rely heavily on rules and guidelines.
      • Require close supervision to perform tasks correctly.
      • Emphasis on following instructions rather than understanding context.
    • Advanced Beginner Stage:
      • Transition from strict rule-following to some adaptation.
      • Start applying rules to new situations.
      • Receive feedback and learn from mistakes.
      • Task attributes treated separately, but may complete some tasks unsupervised.
    • Competent Stage:
      • Encounter situations where rules don’t apply directly.
      • May face uncertainty and indecision.
      • Gradual shift from reliance on rules to conscious planning and adaptation.
      • Recognize the limitations of rule-based approaches and understand context matters.
    • Proficient Stage:
      • Transition from conscious planning to more intuitive decision-making.
      • Select appropriate actions confidently based on situation.
      • Expertise becomes situation-based rather than rule-based.
      • Achieved through extensive deliberate practice over time.
    • Expert Stage:
      • Deep understanding and intuitive grasp of the skill.
      • Make nuanced and refined judgments.
      • Actions guided by intuition and accumulated experience.
      • Expertise is not static; continuous learning and adaptation are necessary.
      • May revert to earlier stages when new learning is required due to changes in the field.
  • Role in Skill Development:
    • Provides a framework for evaluating and supporting skill development.
    • Emphasizes the transition from relying on abstract principles to concrete experience.
    • Acknowledges that mastery requires both theoretical knowledge and practical experience.
  • Cyclical Nature:
    • While the model appears linear, experts may revert to earlier stages for new learning.
    • Expertise is not a static endpoint but an ongoing process of growth and adaptation.
  • Applicability:
    • Widely used in various fields to understand how individuals acquire and develop skills.
    • Used in education, psychology, and professional training to design effective learning programs.
  • Continuous Learning:
    • Encourages the idea that expertise requires continuous learning and adaptation.
    • Mastery is not a fixed achievement but a journey of refinement and improvement.

Connected Agile 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. 

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.

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.

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.

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.

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.

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.

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.

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.

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.

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: Business Models Guide, Sumo Logic Business Model, Snowflake

InnovationAgile MethodologyLean StartupBusiness Model InnovationProject Management.

Read Next: SWOT AnalysisPersonal SWOT AnalysisTOWS MatrixPESTEL

Read Next: AgileDevOpsDevSecOpsScrumLeanSprint.

Read Next: New Product Development, Storyboarding, Story Mapping, Business AnalysisCompetitor Analysis, Continuous InnovationAgile MethodologyLean StartupBusiness Model InnovationProject Management.

Read Next: Scrum, Design Thinking, Pretotyping.

Main Free Guides:

Discover more from FourWeekMBA

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

Continue reading

Scroll to Top
FourWeekMBA