• LinkedIn here and on
• Facebook here.

• Twitter,
• Facebook, and
• LinkedIn.

• Implement and use the most popular agile framework―Scrum;
• Deliver products in short cycles with rapid adaptation to change, fast time-to-market, and continuous improvement; and
• Support innovation and drive competitive advantage.

• 🇦🇺 Australia
• 🇦🇹 Austria
• 🇧🇪 Belgium

• 🇧🇷 Brazil
• 🇨🇦 Canada
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• 🇭🇺 Hungary
• 🇮🇳 India
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• 🇦🇪 UAE
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• 🌏 More countries

• 🇦🇺 Australia
• 🇦🇹 Austria
• 🇧🇷 Brazil
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• 🇩🇰 Denmark
• 🇫🇮 Finland
• 🇫🇷 France
• 🇩🇪 Germany
• 🇬🇷 Greece
• 🇮🇳 India
• 🇮🇪 Ireland
• 🇯🇵 Japan
• 🇱🇺 Luxembourg
• 🇲🇽 Mexico
• 🇳🇱 Netherlands
• 🇳🇿 New Zealand
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Tags: #Adjourning • #Agile • #AgileCoach • #HSZG • #Forming • #Storming • #ScrumMaster • #Tuckman • #TuckmanModel • #TuckmanLadder • #Teamwork • #TeamLeadership • #TeamDevelopment • #TeamCollaboration • #TeamBuilding • #Team • #ProjectManager • #ProjectManagement • #PhasesOfTeamDevelopment • #Performing • #Management • #Norming • #Leadership • #Entrepreneurship • #Development • #Collaboration • #BruceTuckman • #ChangeManagement • #AgileTradecraft • #Agility

• Programming Languages and Algorithms: Proficiency in programming languages such as Python, Java, or R is essential. These languages enable team members to write efficient code, manipulate and analyze data, and implement machine learning algorithms. Understanding algorithms, from classic ones like linear regression to cutting-edge deep learning models, empowers AI professionals to leverage mathematical principles and statistical techniques to train and optimize AI systems.
• Data Analysis and Management: AI relies on data, making data analysis and management skills crucial. AI team members need to be adept at collecting, cleaning, and preprocessing data, ensuring its quality and relevance. They must possess the knowledge of statistical methods, data visualization techniques, and data engineering practices to extract insights from complex datasets and prepare them for AI model training.
• Machine Learning and Neural Networks: Technical skills in machine learning are at the heart of AI systems. Understanding machine learning algorithms, such as decision trees, support vector machines, or convolutional neural networks, enables AI team members to create models that can learn from data and make intelligent predictions or decisions. Expertise in neural networks and deep learning architectures equips professionals with the ability to develop complex models capable of handling tasks like image recognition, natural language processing, and reinforcement learning.
• AI Frameworks and Tools: Proficiency in AI frameworks and tools (such as TensorFlow, Keras, PyTorch, Caffe, Scikit-learn, and others) are essential for building AI systems efficiently. These frameworks provide pre-built modules, libraries, and APIs that simplify the implementation of AI algorithms and models. Technical skills in utilizing these tools effectively enable AI team members to accelerate the development process, streamline model training, and optimize system performance.
• Domain Knowledge and Application-Specific Skills: Technical skills also encompass domain knowledge and application-specific expertise. Understanding the nuances of the industry or problem domain in which AI is being applied allows professionals to tailor AI solutions to meet specific requirements. For example, healthcare-focused AI projects may require knowledge of medical terminologies and regulatory considerations, while AI solutions for financial services may demand expertise in risk assessment and fraud detection.

• Effective Communication and Technical Expertise: Communication bridges the gap between AI professionals and others who may not possess technical backgrounds. AI experts with strong communication skills can articulate complex technical concepts in plain English, ensuring that everyone involved understands the goals, challenges, and progress of the project. By effectively conveying ideas, AI professionals foster collaboration, gather valuable insights, and create a shared vision for AI initiatives.
• Collaboration and Problem-Solving: Collaboration is at the core of AI development, and soft skills such as teamwork, empathy, and active listening facilitate effective collaboration among diverse team members. AI teams with strong collaboration skills can effectively pool their technical expertise, brainstorm ideas, and solve complex problems together. By leveraging their collective intelligence and diverse perspectives, AI teams can overcome challenges, refine AI models, and optimize the performance of AI solutions.
• Critical Thinking and Technical Innovation: Critical thinking, coupled with technical expertise, leads to innovative AI solutions. AI professionals with strong critical thinking skills can evaluate different approaches, challenge assumptions, and identify potential shortcomings or biases in AI models. They can think creatively to address issues such as data biases or fairness concerns, ensuring that AI systems are developed responsibly and ethically.
• Leadership and Team Empowerment: Effective leadership in AI projects involves establishing and maintaining a collaborative and inclusive environment, empowering team members, and harnessing their full potential. AI leaders with exceptional interpersonal abilities can inspire and motivate their team, foster a culture of continuous learning, and provide guidance in navigating complex technical challenges. They encourage interdisciplinary collaboration, respect diverse perspectives, and drive the team towards achieving AI objectives.

• Training Programs and Workshops: Implement specialized training programs and workshops focused on enhancing soft skills. Offer courses in effective communication, leadership (including how to navigate the phases of team development), problem-solving, critical thinking, and collaboration. These programs can provide AI professionals with the necessary tools and techniques to effectively apply soft skills in their work.
• Interdisciplinary Collaboration and Knowledge Sharing: Encourage interdisciplinary collaboration by creating opportunities for AI team members to work alongside experts from diverse fields such as psychology, design, ethics, and business. This collaboration allows for cross-pollination of ideas, encourages different perspectives, and broadens the skill set of AI teams. Foster a culture of knowledge sharing, where professionals can learn from each other and leverage their collective experiences and expertise.
• Real-World Project Engagement: Provide AI team members with opportunities to work on (other) real-world projects, allowing them to apply their soft skills in practical scenarios. Engaging in projects that involve interaction with clients, end-users, and stakeholders helps AI team members develop effective communication, problem-solving, and teamwork skills.
• Continuous Learning and Professional Development: Encourage AI team members to engage in continuous learning and professional development activities. This can include attending conferences, participating in webinars, reading industry publications, and pursuing certifications in relevant areas. Promote a growth mindset among AI team members, emphasizing the importance of lifelong learning and staying current with the latest developments in both technical and soft skills domains.
• Mentorship and Coaching: Establish mentorship and coaching programs where experienced AI professionals guide and support individuals with less experience. Mentors can provide valuable insights, share their experiences, and offer guidance on developing skills. Regular feedback and coaching sessions help AI professionals identify areas for improvement and provide targeted development opportunities.

• Accenture (2023, March 30). Accenture Technology Vision 2023: Generative AI to Usher in a Bold New Future for Business, Merging Physical and Digital Worlds. Available at: https://newsroom.accenture.com/news/accenture-technology-vision-2023-generative-ai-to-usher-in-a-bold-new-future-for-business-merging-physical-and-digital-worlds.htm.
• Alsever, Jennifer (2020, January 20). Medicine by Machine: Is A.I. the Cure for the World’s Ailing Drug Industry? Fortune. Available at: https://fortune.com/longform/ai-artificial-intelligence-medicine-healthcare-pharmaceutical-industry.
• Anthropic (2023, March 14). Introducing Claude. Available at: https://www.anthropic.com/news/introducing-claude.
• Berlin School of Business and Innovation (2022, September 22). How Do Technical Abilities Combined with Leadership Skills Fuel Career Growth? Available at: https://www.berlinsbi.com/blog/career-advice/how-do-technical-abilities-combined-with-leadership-skills-fuel-career-growth.
• Bhatti, Shawaiz, Demir, Mustafa, Cooke, Nancy J., & Johnson, Craig J. (2021). Assessing Communication and Trust in an AI Teammate in a Dynamic Task Environment. In: 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS): 1–6. DOI: 10.1109/ICHMS53169.2021.9582626.
• Brooks, David (2023, February 2). In the Age of A.I., Major in Being Human. The New York Times. Available at: https://www.nytimes.com/2023/02/02/opinion/ai-human-education.html.
• C3.ai (n.d.). Best Practices in Prototyping: Cross-Functional Teams. Available at: https://c3.ai/introduction-what-is-machine-learning/cross-functional-teams/.
• Crampton, Natasha (2021, January 19). The Building Blocks of Microsoft’s Responsible AI Program. Microsoft. Available at: https://blogs.microsoft.com/on-the-issues/2021/01/19/microsoft-responsible-ai-program.
• Dolev, Niva, & Itzkovich, Yariv (2020). In the AI Era, Soft Skills are the New Hard Skills. In: Artificial Intelligence and Its Impact on Business, pp. 55-77. Charlotte, NC: Information Age Publishing.
• Dzombak, Rachel, & Palat, Jay (2021, August 30). 5 Ways to Start Growing an AI-Ready Workforce. Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University.
• Elliott, Joshua (n.d.). Artificial Social Intelligence for Successful Teams (ASIST). Arlington, VA: Defense Advanced Research Projects Agency (DARPA).
• Exceptional Agility (2023, April 10). What's the Future of Agile? Available at: https://exceptionalagility.com/blog/files/the-future.html.
• Fountaine, Tim, McCarthy, Brian, & Saleh, Tamim (2019). Building the AI-Powered Organization. Harvard Business Review, 97 (4): 62–73.
• Gartner (2020, December 15). How to Staff Your AI Team. Available at: https://www.gartner.com/smarterwithgartner/how-to-staff-your-ai-team.
• Gong, Michelle; and Zhernov, Anton (2019, November 18). Advanced Machine Learning Helps Play Store Users Discover Personalised Apps. Google DeepMind. Available at: https://deepmind.google/discover/blog/advanced-machine-learning-helps-play-store-users-discover-personalised-apps/.
• Gorman, Austin (2023, April 27). How to Strengthen Your Soft Skills for AI and the Future of Work. Fast Company. Available at: https://www.fastcompany.com/90887540/how-to-strengthen-your-soft-skills-for-ai-and-the-future-of-work.
• GovExec Events (2020, July 1). Human Machine Team: The Intersection of Diverse Skill Sets [Video]. Defense One. Available at: https://www.youtube.com/watch?v=93wbNLKpbxg&t=1s.
• Graffius, Scott M. (2023, May 1). Fueling the Development of Innovative and Life-Changing AI Solutions [Presentation]. Talk delivered to an audience of Technology professionals (including Data Scientists, Machine Learning Engineers, Data Engineers, AI Researchers, Project Managers, Business Analysts, UX Designers, Software Developers, Cloud Architects, Data Privacy and Security Specialists, and others involved or interested in AI) at a private event in Mountain View, California, United States. Digital Object Identifier (DOI): 10.13140/RG.2.2.27956.73601. DOI link: https://dx.doi.org/10.13140/RG.2.2.27956.73601.

• Graffius, Scott M. (2023, April 26). The Science of High-Performance Teams [Presentation]. Talk delivered at the DevOps Institute’s SKILup Day 2023 Conference. Digital Object Identifier (DOI): 10.13140/RG.2.2.15888.28169. DOI link: https://dx.doi.org/10.13140/RG.2.2.15888.28169.

• Graffius, Scott M. (2023, January 9). Use the Phases of Team Development (Based on Bruce W. Tuckman's Model of Forming, Storming, Norming, Performing, and Adjourning) to Help Teams Grow and Advance: 2023 Update. Available at: https://scottgraffius.com. Digital Object Identifier (DOI): 10.13140/RG.2.2.10720.35846. DOI link: https://dx.doi.org/10.13140/RG.2.2.10720.35846.

• Graffius, Scott M. (2022, May 13). Want Happier and More Productive DevOps Teams? [Presentation]. Talk delivered at DevOpsDays Geneva, Switzerland 2022 Conference. Digital Object Identifier (DOI): 10.13140/RG.2.2.22252.85127. DOI link: https://dx.doi.org/10.13140/RG.2.2.22252.85127.

• Graffius, Scott M. (2021, October 5). Navigate the Phases of Team Development with Speed and Agility for Happier and More Productive Teams [Presentation]. Talk delivered at the Institute of Electrical and Electronics Engineers IEEE Day 2021 Conference. Digital Object Identifier (DOI): 10.13140/RG.2.2.20055.19365. DOI link: https://dx.doi.org/10.13140/RG.2.2.20055.19365.

• Graffius, Scott M. (2021, February 20). But First, the Team! [Presentation]. Talk delivered at the Brno, Czech Republic DevConf.CZ 2021 Conference. Digital Object Identifier (DOI): 10.13140/RG.2.2.29016.72964. DOI link: https://dx.doi.org/10.13140/RG.2.2.29016.72964.
• Gupta, Arun (2022). Non-Technical Skills Eat Technical Skills for Breakfast [Video]. Recording of Arun Gupta, VP and GM of the Open Ecosystem at Intel, speaking at the All Things Open Conference. Available at: https://www.youtube.com/watch?v=WNPxRBhYNU4.
• Humpton, Barbara (n.d.). The Future of Jobs. Siemens. Available at: https://www.siemens.com/us/en/company/press/siemens-stories/ceo-perspective/the-future-of-jobs.html.
• IBM (2019, September 26). Assemble the Team to Support a Data-Driven Project. Available at: https://www.ibm.com/garage/method/practices/culture/assemble-team-for-data-driven-project.
• IBM (2019). Everyday Ethics for Artificial Intelligence. Available at: https://www.ibm.com/watson/assets/duo/pdf/everydayethics.pdf.
• Institute of Electrical and Electronics Engineers (IEEE) (2021, November 8). The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. Available at: https://standards.ieee.org/industry-connections/ec/autonomous-systems.html.
• Kenan Institute (2023, February 20). The Must-Have Skills in the Era of Artificial Intelligence: How AI’s Democratization Will Impact Workers. Available at: https://kenaninstitute.unc.edu/commentary/the-must-have-skills-in-the-era-of-artificial-intelligence-how-ais-democratization-will-impact-workers.
• Lindzon, Jared (2017, February 28). How AI is Changing the Way Companies are Organized. Fast Company. Available at: https://www.fastcompany.com/3068492/how-ai-is-changing-the-way-companies-are-organized.
• Marr, Bernard (2023, March 20). Beyond The Hype: What You Really Need to Know About AI In 2023. Forbes. Available at: https://www.forbes.com/sites/bernardmarr/2023/03/20/beyond-the-hype-what-you-really-need-to-know-about-ai-in-2023.
• Massachusetts Institute of Technology (MIT) Lincoln Laboratory (2023, January 17). Human-AI Performance Incubator. Available at: https://www.ll.mit.edu/r-d/projects/human-ai-performance-incubator.
• Massachusetts Institute of Technology (MIT) (2021, January). Cognitive Science as a New People Science for the Future of Work. Available at: https://workofthefuture.mit.edu/wp-content/uploads/2021/01/2021-Research-Brief-Polli-Kassir-Dolphin-Baker-Gabrieli.pdf.
• Massachusetts Institute of Technology (MIT) Sloan (2019, October 15). Winning With AI. MIT Sloan Management Review and Boston Consulting Group. Available at: https://sloanreview.mit.edu/projects/winning-with-ai.
• McNeese, Nathan J., Demir, Mustafa, Chiou, Erin K., & Cooke, Nancy J. (2021). Trust and Team Performance in Human–Autonomy Teaming. International Journal of Electronic Commerce, 25 (1): 51–72. DOI: 10.1080/10864415.2021.1846854.
• Mearian, Lucas (2023, February 24). Skills-Based Hiring Continues to Rise as Degree Requirements Fade. Computerworld. Available at: https://www.computerworld.com/article/3689170/skills-based-hiring-continues-to-rise-as-degree-requirements-fade.html.
• Meta (2017, October 11). Inventing the Future. Available at: https://www.meta.com/blog/quest/inventing-the-future/.
• Microsoft (2019, June 15). Is the Latest Technology the Key to Your Team’s Success, or is There Something Else? Available at: https://devblogs.microsoft.com/premier-developer/is-the-latest-technology-the-key-to-your-teams-success-or-is-there-something-else.
• New South Wales Technical and Further Education Commission (TAFE NSW) (2019). Soft vs. Hard Skills: Why Successful Australian Businesses Need Both. Ultimo, New South Wales: TAFE NSW.
• Nvidia (n.d.). Partner Innovation. Available at: https://www.nvidia.com/en-ph/self-driving-cars/partners/.
• O’Dea, Blathnaid (2023, February 17). These are the Top Skills AI and Analytics Professionals Need. Silicon Republic. Available at: https://www.siliconrepublic.com/advice/top-skills-ai-data-analytics-professionals-need.
• Olmstead, Brett (2023, February 15). Driving AI Success by Engaging a Cross-Functional Team. Available at: https://www.datarobot.com/blog/driving-ai-success-by-engaging-a-cross-functional-team/.
• Organization for Economic Cooperation and Development (OECD) (n.d.). OECD Programme on AI in Work, Innovation, Productivity and Skills. Available at: https://oecd.ai/en/work-innovation-productivity-skills/key-themes/skills.
• Oswald, Andrew. J., Proto, Eugenio, & Sgroi, Daniel (2015). Happiness and Productivity. Journal of Labor Economics, 33 (4): 789-822.
• Project Management Institute (2020, March 10). Tomorrow's Teams Today: The Future of Teaming: Creative, Collaborative and Agile. Pulse of the Profession. Available at: https://www.pmi.org/learning/library/pulse-indepth-tomorrows-teams-today-11941.
• PwC (2017). Sizing the Prize: What’s the Real Value of AI for Your Business and How Can You Capitalise? PwC’s Global Artificial Intelligence Study: Exploiting the AI Revolution. Available at: https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-study.html.
• Rayside, Derek (Ed.) (2023, March 29). Software Engineering Capstone Design Project Handbook (2023 Edition). Waterloo, Ontario, Canada: University of Waterloo.
• Romsey, Joseph (2020, November 30). 5 Tips to Help Workers Upskill and Adapt to Artificial Intelligence. Society for Human Resource Management (SHRM). Available at: https://www.shrm.org/resourcesandtools/hr-topics/technology/pages/how-hr-can-help-workers-upskill-and-adapt-to-artificial-intelligence-5-tips.aspx.
• Samsung (2017, May 4). Artificial Intelligence and the Role of Workers. Available at: https://insights.samsung.com/2017/05/04/artificial-intelligence-and-the-role-of-workers/.
• Stanford University (2019, September). Gathering Strength, Gathering Storms. Stanford, CA: Stanford University.
• Tredinnick, Luke (2017). Artificial Intelligence and Professional Roles. Business Information Review, 34 (1): 37–41.
• Ungerleider, Neal (2023, January 1). AI and Jobs: The Human Angle. Available at: https://www.sap.com/denmark/insights/viewpoints/ai-jobs-human-angle.html.
• United Nations Educational, Scientific and Cultural Organization (UNESCO) (2021, July 2). AI Ethics: Another Step Closer to the Adoption of UNESCO’s Recommendation. Available at: https://en.unesco.org/news/ai-ethics-another-step-closer-adoption-unescos-recommendation-0.
• United States Artificial Intelligence Institute (USAII) (2022). Factsheet: Fast-Track Your Artificial Intelligence Career in 2023. Stamford, CT: USAII.
• United States Congress Committee on Science, Space, and Technology (2019, September 24). Artificial Intelligence and the Future of Work. Report for the One Hundred Sixteenth Congress. Available at: https://www.congress.gov/116/chrg/CHRG-116hhrg37740/CHRG-116hhrg37740.pdf.
• University of Leeds (2023, March 2). The Top 5 AI Skills You Need to Land a Job in Artificial Intelligence. Available at: https://pg-online.leeds.ac.uk/blogs/5-skills-needed-for-ai.
• World Manufacturing Foundation (2020). 2020 World Manufacturing Report: Manufacturing in the Age of Artificial Intelligence. Available at: https://worldmanufacturing.org/wp-content/uploads/WorldManufacturingForum2020_Report.pdf.

• Twitter,
• Facebook, and
• LinkedIn.

• Implement and use the most popular agile framework―Scrum;
• Deliver products in short cycles with rapid adaptation to change, fast time-to-market, and continuous improvement; and
• Support innovation and drive competitive advantage.

• 🇦🇺 Australia
• 🇦🇹 Austria
• 🇧🇪 Belgium

• 🇧🇷 Brazil
• 🇨🇦 Canada
• 🇨🇿 Czech Republic
• 🇩🇰 Denmark
• 🇫🇮 Finland
• 🇫🇷 France
• 🇩🇪 Germany
• 🇬🇷 Greece
• 🇭🇺 Hungary
• 🇮🇳 India
• 🇮🇪 Ireland
• 🇮🇱 Israel
• 🇮🇹 Italy
• 🇯🇵 Japan
• 🇱🇺 Luxembourg
• 🇲🇽 Mexico
• 🇳🇱 Netherlands
• 🇳🇿 New Zealand
• 🇳🇴 Norway
• 🇪🇸 Spain
• 🇸🇪 Sweden
• 🇨🇭 Switzerland
• 🇦🇪 UAE
• 🇬🇧 United Kingdom
• 🇺🇸 United States

• 🌏 More countries

• 🇦🇺 Australia
• 🇦🇹 Austria
• 🇧🇷 Brazil
• 🇨🇦 Canada
• 🇨🇿 Czech Republic
• 🇩🇰 Denmark
• 🇫🇮 Finland
• 🇫🇷 France
• 🇩🇪 Germany
• 🇬🇷 Greece
• 🇮🇳 India
• 🇮🇪 Ireland
• 🇯🇵 Japan
• 🇱🇺 Luxembourg
• 🇲🇽 Mexico
• 🇳🇱 Netherlands
• 🇳🇿 New Zealand
• 🇪🇸 Spain
• 🇸🇪 Sweden
• 🇨🇭 Switzerland
• 🇦🇪 United Arab Emirates
• 🇬🇧 United Kingdom
• 🇺🇸 United States

• 🌏 More countries

Tags: #Accenture • #BSBI • #FastCompany • #MIT • #Gartner • #IBM • AI team • #AITeam • AI team skills • #AITeamSkills • Developing and Advancing Soft Skills in AI Teams • The Power of Synergy: Soft Skills and Technical Skills in AI Teams • The Role of Technical Skills in AI Teams • Understanding Soft Skills in AI Teams • United States Artificial Intelligence Institute • Stanford University • Software Engineering Institute • Microsoft • MIT • IEEE • IBM • DARPA • Graffius' work on AI projects • AI teams • AI • Artificial Intelligence • #AIForGood • #MachineIntelligence • #techinnovation • #AISkills • #AISoftSkills • #AIJobs • #ArtificialIntelligenceSkills • #ArtificialIntelligenceTeamSkills • #ArtificialIntelligenceSoftSkills • #AIResearch • #MI • #AIIsATeamSport • #BigData • #Collaboration • #Data • #Development • #DeepLearning • #AgileBlog • #Keras • #TensorFlow • #Caffe • #PyTorch • #ScikitLearn • #BusinessBlog • #TechnologyBlog • #ProjectManagementBlog • #Leadership • #Tech • #Teamwork • #AIStory • #Technology • #Blog • #TechnicalSkills • #TeamLeadership • #TeamDevelopment • #TeamCollaboration • #TeamBuilding • #SoftSkills • #Team • #ProjectManager • #ProjectManagement • #Management • #ML • #MachineLearning • #Innovation • #Future • #Entrepreneurship • #Engineering • #ChangeManagement • #ArtificialIntelligence • #AIteams • #AI • #Agile • #PwC • #Startups • #Science • #NeuralNetworks • #Programming • #AITradecraft • #autonomousSystems • #USAII • #FutureOfWork • #DataScience • #CognitiveComputing • #emergingtech • #IEEE • #Microsoft • #CoreSkills • #Interpersonalskills • #PeopleSkills • #transferableskills • #transversalskills • #PowerSkills • AI Skills • AI teams • AI Soft Skills • AI Hard Skills • AI team skills • AI technical skills • AI interpersonal skills

• Zappos: Zappos revolutionized the online shoe market by focusing on customer-centricity and rapid experimentation. Their MVP allowed them to validate their hypothesis, gather customer feedback, and iterate their offering to create a seamless and personalized shopping experience. Zappos is a prime example of the power of MVPs.
• Spotify: Global music streaming platform Spotify started as a simple streaming service MVP and they and continuously improved and expanded it based on customer feedback. By iterating their product, Spotify became a household name. Their MVP-driven approach ensured a product-market fit and helped them stay ahead in a competitive industry.
• Airbnb: Airbnb's success story speaks to the effectiveness of MVPs in validating an idea and subsequently scaling it to a global marketplace. Airbnb's founders started by testing their marketplace concept using an MVP strategy. By leveraging existing resources and validating demand through early adopters, they gained critical insights that shaped their platform's evolution. Today, Airbnb is a household name, offering unique accommodations worldwide.
• Facebook: Facebook's journey from a simple MVP to the world's largest social network demonstrates the power of incremental growth and user feedback. Mark Zuckerberg and fellow Harvard College students and roommates Eduardo Saverin, Andrew McCollum, Dustin Moskovitz, and Chris Hughes initially created a minimal profile-based social networking MVP (initially called "Thefacebook"), focusing on connecting people at Harvard. Through continuous iterations and the addition of features based on user needs and feedback, Facebook reshaped the social media landscape, connecting billions of people globally.
• Amazon: E-commerce giant Amazon is renowned for its relentless focus on customer experience. They started with an MVP approach, catering to customers' fundamental needs related to books, and subsequently expanded into new product categories incrementally. By prioritizing customer satisfaction, Amazon established itself as a trusted and innovative marketplace, continuously raising the bar for online shopping.
• Dropbox: Dropbox, a prominent player in the cloud storage market, kick-started its journey with a basic file-syncing MVP. By offering a simple yet essential solution to the problem of file synchronization across devices, Dropbox gained traction and valuable user insights. They leveraged this feedback to iterate and improve their product, eventually becoming a leader in the highly competitive cloud storage industry.
• Groupon: Popular online deals platform Groupon employed an MVP approach by testing deal offerings on a WordPress blog. That allowed them to validate market interest and adjust their strategy based on customer responses. By embracing the importance of market validation and adaptability, Groupon transformed into a global leader, providing users with discounted offers across various categories.

• Airbnb (n.d.). About Airbnb. Available at: https://news.airbnb.com/about-us.
• Blank, Steve (2020). The Startup Owner's Manual: The Step-By-Step Guide for Building a Great Company. Hoboken, New Jersey: John Wiley and Sons.
• Cagan, Marty (2012, March 7). Viable Product vs. Minimal Product. Silicon Valley Product Group (SVPG). Available at: https://www.svpg.com/viable-product-vs-minimal-product.
• CB Insights (2021, August 3). The Top 12 Reasons Startups Fail. CB Insights Research. Available at: https://www.cbinsights.com/research/report/startup-failure-reasons-top.
• Davenport, Thomas H., & Seseri, Rudina (2020, December 15). What is a Minimum Viable AI Product? MIT Sloan Management Review. Available at: https://sloanreview.mit.edu/article/what-is-a-minimum-viable-ai-product.
• Dropbox (n.d.). About the Company. Available at: https://www.dropbox.com/about.
• Furr, Nathan, & Dyer, Jeff (2014). The Innovator's Method: Bringing the Lean Start-up into Your Organization. Boston, Massachusetts: Harvard Business Review Press.
• Graffius, Scott M. (2016). Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions. North Charleston, SC: CreateSpace.
• Graffius, Scott M. (2018, October 4). Agile Scrum Helps Innovators, Disruptors, and Entrepreneurs Develop and Deliver Products at Astounding Speed Which Drives Competitive Advantage [Presentation]. Talk delivered to an audience of startups and others in the entrepreneurial community at the Techstars Startup Week Conference at The Box Theater, Riverside, California, United States. Digital Object Identifier (DOI): 10.13140/RG.2.2.25009.12647. DOI link: https://dx.doi.org/10.13140/RG.2.2.25009.12647.
• Graffius, Scott M. (2021, February 27). Are You Realizing All the Benefits from Agile? [Presentation]. Talk delivered to an audience involved or interested in Technology at the Scottish Summit 2021 Technology Conference based from Glasgow, Scotland, United Kingdom. Digital Object Identifier (DOI): 10.13140/RG.2.2.17273.90728. DOI link: https://dx.doi.org/10.13140/RG.2.2.17273.90728.
• Graffius, Scott M. (2023, May 1). Fueling the Development of Innovative and Life-Changing AI Solutions [Presentation]. Talk delivered to an audience of Technology professionals (including Data Scientists, Machine Learning Engineers, Data Engineers, AI Researchers, Project Managers, Business Analysts, UX Designers, Software Developers, Cloud Architects, Data Privacy and Security Specialists, and others involved or interested in AI) at a private event in Mountain View, California, United States. Digital Object Identifier (DOI): 10.13140/RG.2.2.27956.73601. DOI link: https://dx.doi.org/10.13140/RG.2.2.27956.73601.
• Groupon (2013, July 30). The History of Groupon. Available at: https://www.groupon.com/merchant/working-with-groupon/groupon-news/the-history-of-groupon.
• Harvard Business School (2021). MVP Development. Available at: https://entrepreneurship.hbs.edu/Documents/Session%20Summary/HBSRockMVPDevelopment.pdf.
• Krishnamurthy, Rajeshwari (2021, January 29). Why is Agile Product Development Process So Popular? Product Development & Management Association (PDMA). Available at: https://community.pdma.org/knowledgehub/bok/product-innovation-process/why-is-agile-product-development-process-so-popular.
• Lenarduzzi, Valentina, & Taibi, Davide (2016, August). MVP Explained: A Systematic Mapping Study on the Definitions of Minimal Viable Product. Proceedings from the 2016 42nd Euromicro Conference on Software Engineering and Advanced Applications (SEAA): 112–119.
• Merryweather, Ellen (2023, January 9). Product-Led Growth Strategy for Product Managers. Product School. Available at: https://productschool.com/blog/product-strategy/product-led-growth-strategy.
• Meta (n.d.). About Meta. Available at: https://about.meta.com/company-info.
• Miski, A. (2014). Development of a Mobile Application Using the Lean Startup Methodology. International Journal of Scientific & Engineering Research, 5 (1): 1743-1748.
• Moogk, Dobrila R. (2012, March). Minimum Viable Product and the Importance of Experimentation in Technology Startups. Technology Innovation and Management Review. Available at: https://timreview.ca/article/535.
• Olsen, Dan (2015). The Lean Product Playbook: How to Innovate with Minimum Viable Products and Rapid Customer Feedback. Hoboken, New Jersey: John Wiley and Sons.
• Osterwalder, Alexander, & Pigneur, Yves (2010). Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers. Hoboken, New Jersey: John Wiley and Sons.
• Project Management Institute (n.d.). Minimum Business Increments (MBIs). Available at: https://www.pmi.org/disciplined-agile/da-flex-toc/minimum-business-increments.
• Putten, Alexander B. van, & MacMillan, Ian (2004, December). Making Real Options Really Work. Harvard Business Review, 82 (12): 134-141, 150.
• Ries, Eric (2011). The Lean Startup: How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses. New York, New York: Penguin Random House.
• Scaled Agile (n.d.). Applied Innovation Accounting in SAFe. Available at: https://scaledagileframework.com/guidance-applied-innovation-accounting-in-safe.
• Spotify (n.d.). About Spotify. Available at: https://newsroom.spotify.com/company-info.
• Templeton, Chuck (2014, December 9). 10 Lessons Every Entrepreneur Should Learn. Fortune. Available at: https://fortune.com/2014/12/09/10-lessons-every-entrepreneur-should-learn.
• Thomsen, Dave (2013, December 20). Why Human-Centered Design Matters. Wired. Available at: https://www.wired.com/insights/2013/12/human-centered-design-matters.
• Umbreen, J., Mirza, Muhammad Z., Ahmad, Yasir, & Naseem, Afshan. (2022, December). Assessing the Role of Minimum Viable Products in Digital Startups. Proceedings of the 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM): 1073-1077.
• Wikipedia (n.d.). History of Amazon. Available at: https://en.wikipedia.org/wiki/History_of_Amazon.
• Zappos (n.d.). About Zappos. Available at: https://www.zappos.com/marty/c/about-zappos.

• Twitter,
• Facebook, and
• LinkedIn.

• Implement and use the most popular agile framework―Scrum;
• Deliver products in short cycles with rapid adaptation to change, fast time-to-market, and continuous improvement; and
• Support innovation and drive competitive advantage.

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HubSpot Executives Use Graffius' Research in Their New Book

• Scope: 5.6 million posts
• Coverage: 11 platforms
• Methodology: multi-source, representative, data-driven
• Continuity: annual updates
• Value: actionable insights

References

About Kipp Bodnar

About Kieran Flanagan

About HubSpot

About Scott M. Graffius

• Paperback ISBN-13: 9781533370242
• Kindle ASIN: B01FZ0JIIY

• Paperback ISBN-13: 9781072447962
• Kindle ASIN: B07R9LJLPJ

• Kindle ASIN: B0F2SJ83WT
• Audible ASIN: B0DJG163R5

• Adobe,
• American Management Association,
• Amsterdam Public Health Research Institute,
• Bayer,
• BCG,
• BMC Software,
• Boston Consulting Group (BCG),
• Boston University,
• Broadcom,
• Cisco,
• Coburg University of Applied Sciences and Arts - Germany,
• Computer Weekly,
• Constructor University - Germany,
• Data Governance Success,
• Deimos Aerospace,
• DevOps Institute,
• Dropbox,
• EU's European Commission,
• Federal Reserve Bank of New York,
• Ford Motor Company,
• Gartner,
• GoDaddy,
• Harvard Medical School,
• Hasso Plattner Institute - Germany,
• IEEE,
• Innovation Project Management,
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• NASSCOM,
• National Academy of Sciences,
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• Pinterest Inc.,
• Project Management Institute,
• Mary Raum (Professor of National Security Affairs, United States Naval War College),
• Round Square Global Educational Network,
• Royal Australasian College of Physicians (RACP),
• SANS Institute,
• SBG Neumark - Germany,
• Singapore Institute of Technology,
• Torrens University - Australia,
• TBS Switzerland,
• Tufts University,
• UC San Diego,
• UK Sports Institute,
• University of Galway - Ireland,
• US Department of Energy,
• US National Park Service,
• US Soccer,
• US Tennis Association,
• Verizon,
• Wrike,
• Yale University,
• and many others.

• The Standard for Artificial Intelligence in Portfolio, Program, and Project Management.
• Agile Practice Guide — Second Edition.
• A Guide to the Project Management Body of Knowledge (PMBOK Guide) — Eighth Edition.
• A Guide to the Project Management Body of Knowledge (PMBOK Guide) — Sixth Edition.
• The Standard for Program Management — Fourth Edition.
• Practice Standard for Work Breakdown Structures — Second Edition.
• The Practice Standard for Project Estimating — Second Edition.

• Certified SAFe 6 Agilist (SA),
• Certified Scrum Professional - ScrumMaster (CSP-SM),
• Certified Scrum Professional - Product Owner (CSP-PO),
• Certified ScrumMaster (CSM),
• Certified Scrum Product Owner (CSPO),
• Project Management Professional (PMP),
• Lean Six Sigma Green Belt (LSSGB), and
• IT Service Management Foundation (ITIL).

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• Loop: Outlearn. Outmarket. Outgrow.
• Kipp Bodnar
• Kieran Flanagan
• Loop Marketing
• Express, Tailor, Amplify, and Evolve
• Lifespan (Half-Life) of Social Media Posts
• HubSpot
• Forefront Books
• Marketing Leadership
• SocialMedia
• AI
• Book
• Agentic
• Scott M. Graffius
• Entrepreneurship

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• #LoopMarketing
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Tags: Loop: Outlearn. Outmarket. Outgrow. • Kipp Bodnar • Kieran Flanagan • #Agentic • #Book • #HubSpot • #AI • #Entrepreneurship • #MarketingLeadership • #Marketing • #ForefrontBooks • #LoopMarketing • #ResearchOnSocialMedia • #SocialMediaResearch • #SocialMedia • #Loop • Entrepreneurship • Scott M. Graffius • Agentic • Book • SocialMedia • AI • Marketing Leadership • Forefront Books • Loop Marketing • HubSpot • Lifespan (Half-Life) of Social Media Posts • Express, Tailor, Amplify, and Evolve