Stones2Milestones fREADom: building the English operating system (OS) for the world
The case introduces Freadom, S2M’s machine learning and artificial intelligence-enabled English learning product suite, preparing to script a first-of-its-kind global success story with Freadom, identifying underlying dilemmas and challenges that must be addressed towards realizing its global potential.
Abstract
Learning outcomes The case is designed taking into consideration the three learning domains of Bloom’s Taxonomy (Bloom et al., 1956) – cognitive, i.e. knowledge and thinking; affective, i.e. feelings and attitude; and psychomotor, i.e. specific applied skills. Accordingly, these learning objectives are identified:▪ to frame a data and insights-driven design challenge and communicate product and solution design ideas clearly (LO 1);▪ to understand and apply the design thinking process for data science and AI-enabled digital product ecosystem innovation (LO 2);▪ to deploy a structured methodology for adapting a data science and AI-enabled digital product ecosystem in diverse markets (LO 3); and▪ to create a digital product management and go-to-market roadmap for tapping new markets (LO 4). Case overview/synopsis Stones2Milestones (S2M), a pioneering Indian EdTech company founded in 2009, is preparing to script a first-of-its-kind global success story with Freadom, its machine learning and artificial intelligence-enabled English learning product suite, being used by over 7,500 schools and 1 million-plus K-12 students. Driven by the mission of creating a nation of readers and helping every child “find their place in the world”, the bootstrapped social venture struggled to sustain itself in the initial years despite a healthy uptake by schools of its evocatively named offering, Wings of Words (WOW) that aimed to inculcate the habit of reading among 3–12-year-olds through storytelling. In 2016, S2M pivoted to a product-based model led by technology and digital innovations, launching Freadom, an adaptive mobile reading app that logged an exponential growth in its user base. By 2019, Freadom’s remarkable vision, a data science-led product map, and its enormous potential for global socio-economic impact had earned it a serendipitous association with Stanford University as a mentor and collaborator. Over the next four years, S2M’s contrarian bet on a data science and analytics-led product development strategy, an obsessive focus on user-centric continuous product innovation, foresight to translate the Covid-19 pandemic crisis into an opportunity, and strategic impetus to leverage the Stanford association led to 20-fold growth in its user base, sustained commercial success and global recognition. Enthused by Freadom’s growing success and its untapped global potential in transforming English language skill-acquisition as an essential life-skill among learners in 110-plus English-as-second-language (ESL) countries, the S2M product team had christened Freadom as the “English OS for the World.” In November 2023, in pursuit of ambitious global aspirations, S2M entered into a partnership with the Finnish Global Education Solutions (FGES), a member of Education Finland program controlled by the Finnish National Agency for Education. The S2M-FGES joint venture, by leveraging the mutually complementary strengths of the two partners – a market-leading data science and AI-based product suite with the Stanford pedigree, user-centric innovation expertise, an established and loyal customer base, easy access to low-cost tech and data science talent, sales and distribution capabilities and the global stature of the renowned Finnish school education system that could open doors – aims to further develop and deploy Freadom on the international stage. The case introduces Freadom at this pivotal juncture, identifying underlying dilemmas and challenges that must be addressed towards realizing its global potential. How could Freadom’s ambition fructify, of establishing a made-in-India English learning product suite as the “English OS for the world” in mature global ESL markets, an audacious dream that had never been attempted before? Would the product development, customer acquisition and market expansion approaches aimed at “creating a nation of readers” that had worked so well in India, be replicable in diverse K-12 learning landscapes such as South Korea, Singapore, Middle East and Finland, that were very different, each of them unique in its own way – in socio-cultural, linguistic, educational and pedagogical environment? And, how could Freadom continue to deliver on its promise of being the ultimate English learning platform for 3–12-year-old K-12 students globally, helping them find “their place in the world?” Complexity academic level This case can be used in courses or modules on data science and AI-based solutioning, design thinking and communication, user-centric problem-solving, creativity, innovation, social entrepreneurship, new product planning and development, digital product management, customer experience (Cx) management, sustainable development and international business. The case focuses on the contemporary theme of data science and AI-based design thinking as a tool to understand and frame a socially-pertinent need gap and design challenge, communicate and evaluate ideas and drive sustained user-centric innovation in a digital ecosystem. The surrounding context of this case pertains to social and impact entrepreneurship in an emerging economy with high socio-economic disparities, and underscores the potential for grassroots digital innovations originating from emerging markets to address societal and human development need gaps globally, including in developed economies. This case, therefore, presents a unique opportunity to the faculty at global business schools, which have a fairly diverse class mix from developed and large emerging economies, to generate an enriching discussion on the multifaceted potential of “border-less” social entrepreneurship and innovation. The pertinent theme and surrounding context make the case particularly relevant for the following suggested courses/modules: core/introductory courses on innovation, data science and digital technologies, problem-solving, communication, social entrepreneurship, product management, emerging economies, international business and sustainable development; and elective courses on data science and AI applications, design thinking and communication, educational technology (EdTech), entrepreneurship in emerging economies, creativity and problem-solving, digital business, social and impact entrepreneurship, sustainable business strategy, international expansion and customer-centric communication. Supplementary material Teaching notes are available for educators only. Subject code CSS11: Strategy.