Scrum Product Owner Workshop: In-House Training The Product Owner is responsible for maximizing the value of the product and the work of the Development Team. The Product Owner must be knowledgeable, available, and empowered to make decisions quickly in order for an Agile project to be successful. The Product Owner's key accountability is the Product Backlog. Managing, maintaining, and evolving the Product Backlog involves: Establishing a clear Vision that engages the Development Team and stakeholders Clearly expressing Product Backlog items Ordering the items in the Product Backlog to best achieve the Vision and goals Ensuring that the Product Backlog is visible, transparent, and clear to all Working with the Development Team throughout the project to create a product that fits the customer's needs The overall course goal is to support you in becoming an effective Product Owner. What you will Learn You'll learn how to: Differentiate between poor, good, and great Product Owner attributes, and their impact on the team, product, stakeholders, and the organization Engage your stakeholders by knowing your customers and market Develop an effective and value-driven Product Backlog Evaluate the Product Owner's role in Scrum's 5 events and team engagement Foundation Concepts Agile foundation Product owner role Product Ownership Product ownership Project vision Understanding your customers and market Personas Stakeholder management and engagement The Product Backlog Epics and user stories Preparing user stories for a sprint The product backlog Visualizing the product backlog Product backlog prioritization Technical debt Sprint Planning and Delivery Sprint planning The sprint Sprint Reviews, Retrospectives, and Closing Sprint reviews Key agile patterns Retrospectives Closing the project
Implementing Scrum for Teams: In-House Training Scrum is an iterative, incremental framework for developing products. It allows the team to deliver a potentially shippable set of functionalities for each iteration, providing the agility needed to respond to rapidly changing requirements. These characteristics have led to Scrum becoming the most popular method in the world of Agile projects. This two-day course provides a practical approach to implementing the Scrum method on your projects. You will learn how to initiate a Scrum project, how to build a Product Backlog, containing user stories, and how to plan and estimate releases and iterations. You will learn how to conduct Scrum events, such as the Sprint Planning Meeting, and how to track progress during an iteration. You will apply what you learn in a series of hands-on, team-based activities and simulations that take you through the entire Scrum process. The overall goal of the course is to enable you to successfully apply the Scrum method on appropriate projects in your environment. What you will Learn At the end of this program, you will be able to: Teach-back Agile and Scrum foundation concepts Initiate a Scrum Project Conduct Team Sprint Planning and Sprint Review meetings Develop Release Plans (including effective user stories and priorities) Build a Sprint plan (including effective estimates) Executive a Sprint (including essential Scrum ceremonies) Implement Scrum in your environment Foundation Concepts Agile Mindset, Values, and Tenets Agile Benefits and Methods Scrum Overview Teams: Self-Managing, Self-Organizing, and Self-Improving Initiating a Scrum Project 'Sprint Zero' Activities Defining the Vision The Product Backlog and User Stories Acceptance Criteria Story Map Planning Releases Planning releases Estimating user stories Prioritizing user stories Selecting a Sprint length Estimating velocity Creating a release plan Planning a Sprint The Sprint Planning Meeting Building the Sprint Backlog Creating a Sprint Plan Running a Sprint Conduct a Sprint Burn-down and Burn-up Charts Negotiating Changes During a Sprint The Sprint Review Meeting Sprint Retrospective Releasing into Production Closing the Scrum Project Implementing Scrum Scrum Simulation Exercise Conditions of Success for Implementing Scrum
Agile and Scrum Fundamentals: In-House Training The overall goal of the course is to provide learners with the fundamentals of what Agile and Scrum are, and how to effectively apply Agile methods in your projects. What you will Learn At the end of this program, you will be able to: Describe Agile and Scrum foundation concepts Compare and contrast Agile roles to traditional roles Initiate an Agile project Develop Release Plans Build an Iteration Plan Execute an Iteration Implement Agile in your environment Getting Started Introductions Workshop orientation Expectations Foundation Concepts Project Lifecycles What is Agile? Why Agile? A range of Agile methods Focus on Scrum The People Side of Agile A range of Agile roles Focus on Scrum roles Unique characteristics of Agile Teams Building effective Agile Teams Initiating an Agile Project Conducting Sprint Zero Setting the vision Building the Product Backlog and User Stories Defining Acceptance Criteria Planning Releases Planning releases Estimating user stories Prioritizing user stories Selecting a Sprint length Estimating velocity Creating a release plan Planning an Iteration Conducting the Sprint Planning Meeting Building the Sprint Backlog Creating a Sprint Plan Running an Iteration Executing Sprint activities Using Burn-down and Burn-up Charts Negotiating changes during a Sprint Conducting the Sprint Review Meeting Implementing Agile Conditions of success for implementing Agile and Scrum Implementing Agile Final words
Agile Release Plans: In-House Training While many Agile frameworks provide guidance on a focus on value and iterative development, many do not explain how that value is delivered to the customer. Release Plans have become an accepted and common practice to bridge the gap between the Product Vision and the Product Backlog (Agile requirements). In this course, you will be provided with an introduction to Agile and to Scrum, the most utilized Agile framework. You will also learn how the Vision, Roadmap, and Charter help to establish the Release Plan. The goal of this course is to equip you with the necessary knowledge, skills, and techniques to build Release Plans to ensure you deliver the most value to your customers. What you will Learn At the end of this program, you will be able to: Recall the Scrum framework elements (roles, events, and artifacts) Examine the benefits of Agile Develop a Product Vision and Roadmap Create an Agile Project Charter Prepare a Release Plan Write user stories to support a Product Backlog Foundation Concepts Introduction to Scrum Scrum Overview Agile Benefits Product Definition Business Goals Product Vision Product Roadmap Agile Project Charter Product Scope Project Risks Release Deadlines Sprint Durations Team Norms Release Planning Release Plan Process Select Stories and a Release Date Product Backlog User stories Building the product backlog Product Backlog Refinement Transitioning to the Scrum Team
Managing Successful Programmes (MSP®) 5th Edition Practitioner: In-House Training Managing Successful Programmes (MSP®) is a globally-recognized framework for best practice programme management. MSP certification provides guidance for programme managers, business change managers, and the next step for project managers to develop their knowledge and skills to be able to positively respond to the challenges of managing programmes and larger, more strategic, or multiple projects. MSP 5th Edition emphasizes flexibility, adaptability, and responsiveness by adopting an incremental approach to the programme lifecycle and thus enabling organizational agility. AXELOS offers two levels of MSP Examination: MSP Foundation and MSP Practitioner. The MSP 5th Edition Foundation Examination is intended to assess whether the candidate can demonstrate sufficient recall and understanding of the MSP programme management framework. MSP 5th Edition Practitioner is for project, programme, and business change managers that want to build on their knowledge of MSP in order to practically apply the MSP framework to real-life scenarios, providing the skills to lead and manage a programme. It is a must-have certification for both project and programme management professionals to deliver organizational value to their employers and boost their careers. What you will Learn At the end of this course, participants will be able to: Understand how to apply the MSP principles in context Understand how to apply and tailor relevant aspects of the MSP themes in context Understand how to apply and tailor relevant aspects of the MSP processes in context Course Introduction Application of MSP Principles Program Strategy and Themes Application of Organization Theme Application of Design Theme Application of Justification Theme Application of Structure Theme Application of Knowledge Theme Application of Assurance Theme Application of Decisions Theme Application of MSP Processes
Certified ScrumMaster®: In-House Training This course covers Scrum and the principles and tools required to be an effective ScrumMaster. You will come away with a good understanding of the Scrum framework and the underlying principles required to make effective decisions regarding the application of Scrum to different situations. At the end of the course, you will receive membership to the Scrum Alliance for two years and, following completion of an online test, will become a Scrum Alliance Certified ScrumMaster®. Our Certified Scrum Trainers pay the initial, two-year membership fee for each student who successfully completes our Certified ScrumMaster® course. This membership fee also covers the cost of the CSM Test. A link to the test will be sent to you following your course. The CSM test has a passing score of 37 out of 50 questions within a 60-minute timeframe. You will have two attempts within 90 days after you receive your welcome e-mail to pass the test at no cost. After two attempts or 90 days, you will be charged $25 for each additional attempt. What you will Learn At the end of this program, you will be able to: Provide a clear understanding of the fundamental principles of Scrum Use the principles, practices, and tools required to be an effective ScrumMaster Make effective decisions regarding the application of the Scrum framework to different situations, including: Practical, project-proven practices The essentials for getting a project off on the right foot How to write user stories and structure your product backlog How to help both new and experienced teams be more successful How to successfully scale Scrum Tips and tricks from the instructor's many years of using Scrum in a wide variety of environments Getting Started Introduction Course structure Course goals and objectives Agile Principles and Scrum Overview Agile Principles Lean Principles Process control models Incremental and Iterative development Shifting the focus on product management Overview of the Scrum process The Team Dedicated cross-functional teams T-shaped people Sprint Planning Team capacity Facilitating the Sprint Planning meeting The Sprint backlog Sprint Burndown chart Scrum Roles and Responsibilities The team and building effective teams ScrumMaster responsibilities Product Owner responsibilities The Scrum project community What happens to traditional roles in Scrum? Scrum Meetings Daily Scrum Reviews Retrospectives Product Backlog and User Stories Product backlog characteristics User stories Getting your first backlog Getting backlog items ready Slicing User stories Estimation for Forward Planning Why comparative estimation works Planning poker Affinity estimation Release Planning and Tracking Progress Velocity Release planning Tracking release progress Scaling Scrum Scrum of Scrums Scaling the product backlog Scaling across a program and business areas Distributed teams
Program Management Skills: In-House Training Program managers coordinate and give oversight to the efforts of marketing groups, project teams, product delivery, maintenance and support, operations and staff from various functional groups, including suppliers, business partners, and other external bodies. The goal is to ensure that proposed business transformation, through the delivery of complex products and processes, is implemented to realize the organization's strategic benefits and objectives, for which the program was selected. The goals of this course are twofold: To provide participants with key program management principles and techniques, recognized as best practices, to enable more effective program management; and to leverage core elements of the program management life cycle, processes, tools and techniques, to enable program management effectiveness. The participant will learn and apply the principles of program management through discussions, activities, and case study exercises. What You Will Learn At the end of this workshop, you will be able to: Maximize the transformational impact of a program according to the business needs Explain management principles and techniques and apply them within a program context Implement program governance and organization that will produce expected benefits Plan for and manage benefit realization, risks, issues, and quality Manage component projects' interdependencies that are linked to both program and strategic objectives Engage program stakeholders effectively. Improve communication and action planning effectiveness for programs in organizations Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Fundamental definitions and concepts Program challenges and benefits Program best practices and success criterion Stakeholder management Governance: program management office and program boards Standard for Program Management overview Vision, Leadership, and the Business Case What is vision, why, and how? Leadership vs. Management Program business case Program Organization and Governance Program organization Program governance Program board roles and responsibilities Benefits Management Benefits explored Benefits management Benefits realization Program Management Planning Program management plan Program blueprint and roadmap Program component dossier Program tranches Program estimating Program scheduling Program Monitoring and Controlling Program Control - An Overview Program Monitoring and Controlling Monitoring and Controlling Transition Program Risk and Issue Management Risk and issue management overview Program risk management Program issue management Program Quality Management Program quality management overview Program quality management principles Program Stakeholder Management Stakeholder engagement overview Stakeholder engagement planning EI, trust, communication and stakeholder engagement Program Closure and Benefits Sustainment Program closure overview Closing the program Program benefits sustainment Summary What did we learn, and how can we implement this in our work environments?
Management of Risk (M_o_R®) Foundation: In-House Training This M_o_R® Foundation course prepares learners to demonstrate knowledge and comprehension of the four elements of the M_o_R framework: Principles, Approach, Processes, Embedding and Reviewing and how these elements support corporate governance. The M_o_R Foundation Course is also a prerequisite for the M_o_R Practitioner qualification. What you will Learn At the end of the M_o_R Foundation course, participants will gain competencies in and be able to: Describe the key characteristics of risk and the benefits of risk management List the eight M_o_R Principles List and describe the use of the key M_o_R Approach documents Create Probability and Impact scales Define and distinguish between risks and issues Create a Risk Register Create a Stakeholder map Identify the key roles in risk management Use the key techniques and describe specialisms in risk management Undertake the M_o_R Foundation examination Introduction Introduction to the M_o_R course What is a risk? What is risk management? Why is risk management so important? Basic risk definitions The development of knowledge about risk management Corporate governance and internal control Where and when should risk management be applied? M_o_R Principles The purpose of M_o_R principles Aligns with objectives Fits the context Engages stakeholders Provides clear guidance Informs decision-making Facilitates continual improvement Creates a supportive culture Achieves measurable value Risk management maturity models M_o_R Approach Relationship between the documents Risk management policy Risk management process guide Risk management strategy Risk register Issue register Risk response plan Risk improvement plan Risk communications plan M_o_R Process Common process barriers Identify contexts Identify the risks Assess estimate Assess evaluate Plan Implement Communication throughout the process M_o_R Perspectives Strategic perspective Program perspective Project perspective Operational perspective Risk Specialisms Business continuity management Incident and crisis management Health and Safety management Financial risk management Environmental risk management Reputational risk management Contract risk management
Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)
Lean Six Sigma Green Belt Certification Program: In-House Training This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps