This case depicts Singapore's TraceTogether (TT) story, beginning in early 2020 when COVID-19 was spreading globally with ravaging effects. TT was the world's first national application of a digital contact-tracing tool. Remarkably, the initial version of TT was developed and launched in just eight weeks. The increasing adoption of TT (both as a mobile app and as a hardware token) enabled the early identification and isolation of infected cases much faster than manual tracing. Part A of the case covers the related events and decision-making until the launch of the TT app on 20 March 2020. Part B covers the subsequent development efforts, version upgrades, follow-on releases and other issues until November 2021. The ability of the Government Technology Agency of Singapore (GovTech) to respond quickly to this unforeseen crisis was germinated about 7 years prior. Chan Cheow Hoe, Deputy CEO led the transition to a bimodal IT organisation which was internally capable of exploratory and rapid software development, and recently Jason Bay, Senior Director, led the overall effort to create and launch the TT app. As Singapore's COVID-19 situation was changing dynamically, so were the national response policies and the TT app. In August 2021, government officials announced that Singapore would begin the adjustment of living with COVID-19 as an endemic. Yet, as of November 2021, the situation was still highly volatile with the emergence of the Omicron variant. To this end, what would the future hold for TT? Should the health authority sunset TT to assuage concerns of national surveillance? Should they encourage the population to keep using TT as uncertainties remained due to the emergence of new COVID-19 variants? Could a subset of TT's capabilities be repurposed for other national initiatives? What new types of foundational capabilities and supporting infrastructure should GovTech start putting in place now to prepare in advance for the next big unknown?
This case depicts Singapore's TraceTogether (TT) story, beginning in early 2020 when COVID-19 was spreading globally with ravaging effects. TT was the world's first national application of a digital contact-tracing tool. Remarkably, the initial version of TT was developed and launched in just eight weeks. The increasing adoption of TT (both as a mobile app and as a hardware token) enabled the early identification and isolation of infected cases much faster than manual tracing. Part A of the case covers the related events and decision-making until the launch of the TT app on 20 March 2020. Part B covers the subsequent development efforts, version upgrades, follow-on releases and other issues until November 2021. The ability of the Government Technology Agency of Singapore (GovTech) to respond quickly to this unforeseen crisis was germinated about 7 years prior. Chan Cheow Hoe, Deputy CEO led the transition to a bimodal IT organisation which was internally capable of exploratory and rapid software development, and recently Jason Bay, Senior Director, led the overall effort to create and launch the TT app. As Singapore's COVID-19 situation was changing dynamically, so were the national response policies and the TT app. In August 2021, government officials announced that Singapore would begin the adjustment of living with COVID-19 as an endemic. Yet, as of November 2021, the situation was still highly volatile with the emergence of the Omicron variant. To this end, what would the future hold for TT? Should the health authority sunset TT to assuage concerns of national surveillance? Should they encourage the population to keep using TT as uncertainties remained due to the emergence of new COVID-19 variants? Could a subset of TT's capabilities be repurposed for other national initiatives? What new types of foundational capabilities and supporting infrastructure should GovTech start putting in place now to prepare in advance for the next big unknown?
This case study is set in September 2016 to April 2021. It describes how Abhilash Murthy used the Digital Product Management (DPM) framework to create the Bus Uncle chatbot and subsequently, to pivot to a successful digital business. The DPM framework combines Design Thinking, Lean Start-up and Agile methodology. It can be used to develop digital products and solutions in the private and public sectors. There are four distinct stages that correspond to cases A, B, C and D respectively. And there are supporting videos for this case. Case A: How Abhilash created the Bus Uncle chatbot and then rapidly re-architected it to scale after the chatbot went viral. Case B: How Abhilash started monetising the Bus Uncle chatbot through conversational advertising. Case C: How Abhilash built a chatbot agency to develop and implement chatbots for other organisations. Case D: How Abhilash created a chatbots-as-a-service platform called BotDistrikt to scale the chatbot business further.