Design driven user study workshop for Chinese startup innovation

The paper illustrates a serial user study workshop designed for startups seeking disruptive innovation and business opportunities based on the lean process from the point view of user-centered design approach. In the Chinese market, business process moves fast. The product development cycle is relatively short which makes it easy to be interrupted and changed. Making sure the product is targeting the right marketing segment is the key to business success. Therefore, innovation has to be created on the true needs of the accurate end users. User-centered design approaches have the natural advantage to forge innovation by defining the problems of the existing products usage for the users and creating the solution that seamlessly meets the potential demands of the product users. This capability of user-centered design is extremely suitable for the early stage of the startup innovation process especially in the customer identification, market positioning, and business model generation. User study is located in the core of this user-centered innovation process. Performing a good user study ensures the product is aimed at users’ needs, which guarantees once the product is given birth it is already well-positioned in the market sharing. This is the key to the success of startup business. In this paper, a serial workshop covers the topics from what are the user study methods suitable for the lean startup innovation, how to conduct an effective interview, and how to synthesize users’ insights and find new business opportunities. By doing the workshop we try to answer the following questions which ultimately influence the nurturing process in the incubator about how design thinking can intervene to create radical innovation in startup teams: why the design driven user study is so important to the startup business? What is design thinking in the non-design background startuper’s mind and how can they incorporate the mindset in the business operation? What Chinese business environment impacts in the innovation process and how could the startups position the empathy for the users as the key for the product success

How Multilingual is Multilingual LLM?

Large Language Models (LLMs), trained predominantly on extensive English data, often exhibit limitations when applied to other languages. Current research is primarily focused on enhancing the multilingual capabilities of these models by employing various tuning strategies. Despite their effectiveness in certain languages, the understanding of the multilingual abilities of LLMs remains incomplete. This study endeavors to evaluate the multilingual capacity of LLMs by conducting an exhaustive analysis across 101 languages, and classifies languages with similar characteristics into four distinct quadrants. By delving into each quadrant, we shed light on the rationale behind their categorization and offer actionable guidelines for tuning these languages. Extensive experiments reveal that existing LLMs possess multilingual capabilities that surpass our expectations, and we can significantly improve the multilingual performance of LLMs by focusing on these distinct attributes present in each quadrant