• 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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Tags: #Agile • #AgileCoach • #Agility • #Innovation • MVP Success Stories • Validating and Iterating via Lean and Agile Approaches • Avoiding Common Pitfalls and Challenges with MVPs • Key Principles and Best Practices for MVPs • #GoToMarket • #Lean • MVPs • Defining MVPs • #IterativeProcess • Minimum viable products • #ProductManager • #ProductOwner • #ProductPivot • #Prototype • #Airbnb • #AgileScrumGuide • #Technology • #PMI • #Facebook • #Meta • #Zappos • #Spotify • #IEEE • #HBR • #MIT • #ScaledAgile • #HarvardBusinessReview • #ProjectManagementInstitute • #Dropbox • #Groupon • #UserFeedback • #UserExperience • #ScrumMaster • #Startup • #ProductValidation • #ProductTesting • #ProductSuccess • #ProductManagement • #ProductIteration • #ProductInnovation • #ProductDevelopment • #LeanProduct • #MVP • #MinimumViableProduct • #MarketResearch • #LeanStartup • #Entrepreneurship • #CustomerValidation • #EarlyAdopters

• Facebook,
• Instagram,
• LinkedIn,
• Pinterest,
• Snapchat,
• TikTok,
• X (formerly Twitter),
• and YouTube.

• From Simple to Complex (the genesis of social media algorithms),
• General Mechanics (the components of algorithms),
• Benefits and Risks (the upside and downside of algorithms),
• Algorithm-Savvy Marketing,
• Ethical Considerations,
• The Future of Algorithms on Social Media Platforms, and
• Conclusion

1. User Engagement: Engagement is at the heart of algorithms. The more users interact with specific content, the more likely it is to be promoted within feeds. This initiates a cycle where popular content gains even more prominence.

2. Content Prioritization: Here are examples of how different social media platforms treat content. The terms “advances,” “favors,” and “prioritizes” are used interchangeably.

• Facebook advances live videos.
• Instagram favors images and videos.
• LinkedIn prioritizes thought leadership posts.
• Pinterest advances pins about recipes, home décor, and fashion; and pins that link to external websites such as blogs.
• Snapchat prioritizes content that uses filters and lenses.
• TikTok advances videos that receive high engagement rates within seconds of being posted.
• X increasingly favors videos.
• YouTube prioritizes long videos with high watch times.

3. Content Relevance: Algorithms prioritize content that aligns with users’ preferences and history. For example, if a user frequently engages with fitness-related posts, the algorithm will likely serve them with similar content. That tactic can enhance user satisfaction, but it can also lead to echo chambers. Those are environments that expose users primarily to information that reinforces their existing beliefs.

4. Freshness: Social media thrives on immediacy. Newer content often takes precedence over older posts. That compels brands, influencers, and others to maintain an apt posting schedule.

5. Network Effects: Content gaining traction among a user’s network helps amplify its reach by spreading (more) rapidly, including possibly ‘going viral.’ There is no universal quantification for what constitutes ‘viral,’ but a post with 1 million or more views/impressions may qualify.

1. Personalization: Individuals tend to interact more frequently with content that aligns with their preferences.

2. Content Discovery: Algorithms can facilitate the introduction of content and accounts that users may not have encountered otherwise.

3. Reduced Information Overload: Social media platforms house a massive volume of content. Algorithms may help filter out the noise. By prioritizing relevant posts, algorithms can help individuals to focus on what matters most to them.

4. Enhanced Engagement: As users find more of the content they enjoy, they will likely spend more time on the platform. This increased engagement also benefits platforms as they can monetize the increased time and attention through advertising.

1. Echo Chambers and Polarization: The potential formation of echo chambers is the most concerning byproduct of algorithmic personalization. Users are at risk of being shielded from differing perspectives. That is especially the case with political discourse; those situations can lead to polarization or increased polarization.

2. Risk of Promoting Incorrect Information: The algorithms that prioritize engagement can potentially (by design or inadvertently) boost sensationalist content or incorrect information.

3. User Fatigue: Users may experience fatigue or disillusionment when they become aware of the potential negative effects of algorithms. Users who feel that their experiences are being engineered may lose trust in the platforms, and they may stop using them.

1. Prioritize Quality Over Quantity: Create meaningful, engaging, and relevant posts.

2. Engage Authentically: Engage with one’s audience in genuine ways such as through storytelling, user-generated content, and responsive interactions.

3. Embrace Video Content: Use videos as platforms are increasingly prioritizing that content.

4. Stay Informed: Marketers should be on the lookout for changes and be responsive to them.

5. Leverage Data Analytics: Informed by metrics, marketers can adjust their strategies when needed.

6. Experiment and Adapt: Platforms are continuously changing. Users’ tastes may change as well. Marketers should experiment with different content types, posting schedules, and engagement tactics to discover what works best for their audience.

1. Transparency: Users deserve to understand how their data is used and how content is prioritized. Increased transparency can foster trust between users and platforms. Is the social media platform transparent about how its algorithm works.

2. Algorithmic Bias: Algorithms are not immune to bias as they often reflect the prejudices in the data they analyze. Is the social media platform taking steps to remove bias wherever possible?

3. Content Moderation: What role, if any, should platforms play in moderating content?

4. User Well-Being: Is the platform primarily focused on providing a great user experience? Or is it about doing anything and everything possible to generate time on the platform and obtain a presumed corresponding increase in revenue?

1. Increased Use of AI and ML: AI and ML will continue to play a role in refining algorithms. As the technologies advance, algorithms will become even more adept at understanding user preferences and predicting behavior.

2. Greater Focus on User Control: Users are becoming more aware of their data and how it’s used. Platforms may offer control to users, allowing users to customize their feeds and manage their engagement preferences.

3. Ethical Algorithm Design: Ethical frameworks that prioritize user well-being, transparency, and accountability may gain prominence in the future.

4. Integration of AR and VR: Social media platforms may incorporate augmented reality (AR) and virtual reality (VR) elements into their algorithms in the future. If that happens, the result will be immersive user experiences that transcend traditional content consumption.

5. Community-Centric Algorithms: Algorithms in the future may prioritize community engagement and collective interests.

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23. Jwaniat, M. A. (2023). Examining Journalistic Practices in Online Newspapers in the Era of Artificial Intelligence. 2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS), Valencia, Spain, 2023, pp. 183-189, DOI: 10.1109/ICCNS58795.2023.10193607.
24. Keller, J., Herrmann-Schwarz, T., Roitzheim, C., Mertens, L., Christin Brockmeier, L., & Kumar Purohit, A. (2024). A Digital Nudge-Based Intervention to Interrupt Instagram Usage: Randomized Controlled Pilot Study. European Journal of Health Psychology. DOI: https://dx.doi.org/10.1027/2512-8442/a000150.
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• 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: #AI • #Algorithms • #ArtificialIntelligence • #Tech • #ViralContent • #GoViral • #ViralPost • #BreakingTheInternet • #goingviral • #ContentCreation • #Creator • #Marketer • #SocialMediaMarketing • #SMM • #Engagement • #EchoChambers • #LIkes • #Shares • #YouTube • #X • #SocialMedia • #TikTok • #UserExperience • #SocialMediaTrends • #SocialMediaStrategy • #SocialMediaResearch • #SocialMediaEngagement • #SocialMediaAlgorithms • #Social • #Snapchat • #Pinterest • #MarTech • #ML • #MachineLearning • #LinkedIn • #Comments • #Algo • How Algorithms Shape the User Experience on Social Media Platforms • #Instagram • #Influence • #FutureOfTech • #Facebook • #DigitalMarketing • #ContentStrategy • #SocialPlatforms