How QuoDeck Is Gamifying Corporate E-Learning With AI-based Tools
Realising the need for enterprises to engage their staff in a much more creative and interesting way, QuoDecK, a Mumbai-based startup, attempts to bridge this gap with a SaaS product which uses gamification for enterprise learning market. Established in 2010 by avid gamers Kamalika Bhattacharya and  Arijit Lahiri,  the platform uses interactivity and games to engage enterprise learners and use that to capture data, which in turn gets used to improve the learner’s experience. “While a lot of learning is needed as it a functional understanding, the way in which it is delivered does not evoke any sense of excitement or feeling from the employees that it is being done for their betterment. So, two of us started looking at ways to improve this scenario and that’s when QuoDeck born in 2010 as a result of this,” says Bhattacharya, who worked with startups and raised private equity and venture capital in her previous stint. Outcome-based learning At the core of its platform is gamification, which has been leveraged to make simple activities from documentation to interaction with customers easier. For this, the platform relies on game-based learning and storyline-based games which are used to create an entire course. “For instance, a big requirement in insurance, banking, pharma, and retail sector is conversation simulations which teach people how to talk by simulating a chat with a customer. This is method can also be used for sales training as well as customer service training,” Bhattacharya explains. QuoDeck’s DIY LMS is one such product which is built on mobile and game-based SaaS platform and brings cutting-edge technology at affordable costs for SMEs, start-ups and educational institutes. Presently, the platform can be deployed within an organisation whose employee strength varies from 30-1000 with different work environments. AI and ML works at the back end Analytics, artificial intelligence (AI) and machine learning (ML) have been used at the back-end to process a large number of different datasets. This data is then used to gain valuable insights about learner behaviour and provide them with updates on their progress. It also provides companies with updates on their employees’ performances. “At QuoDeck, we use a multivariate model including clickstream data, time spent on the system, distribution of course usage, devices used amongst many other variables to uncover patterns, correlations and other insights,” Bhattacharya adds. AI and ML have been exclusively used to improve resource allocation of QuoDeck’s partners, customise learning for employees and to significantly improve their courses efficiency. In the future, the company hopes to leverage AI and Ml tools to provide pre-designed course based on the learners’ profiles before they begin their e-Learning journey. Road ahead QuoDeck’s enterprise version is currently deployed in more than 35 global companies and has over four lakh learners. However, the company hopes to increase their user-base to six lakh people by the next three months and leverage AI and ML for increasing their productivity. “We see the next big potential in affordable, DIY, SaaS-based LMS for smaller and medium organisations. The second growth area is for LMS in moving up the value chain of services, from delivering content to providing AI/ML driven actionable to drive up productivity,” Bhattacharya concludes.
Realising the need for enterprises to engage their staff in a much more creative and interesting way, QuoDecK, a Mumbai-based startup, attempts to bridge this gap with a SaaS product which uses gamification for enterprise learning market. Established in 2010 by avid gamers Kamalika Bhattacharya and  Arijit Lahiri,  the platform uses interactivity and games to engage […]
Established in 2010, the platform uses interactivity and games to engage enterprise learners to improve the learner’s experience
["AI/ML", "e-learning"]
["API", "artificial intelligence", "machine learning", "AI", "ML", "e-learning", "RAG", "GAN", "ViT", "analytics", "AI/ML", "R"]
["AI", "artificial intelligence", "machine learning", "ML", "analytics", "RAG", "R", "API", "GAN", "ViT"]
Akshaya Asokan works as a Technology Journalist at Analytics India Magazine. She has previously worked with IDG Media and The New Indian Express. When not writing, she can be seen either reading or staring at a flower.