In order to create a fluency product tailored for non-native speakers, Grammarly must first gain a deep understanding of the specific needs and challenges faced by these users. Conducting comprehensive user research—such as surveys, focus groups, and individual interviews—would be the most effective approach. The insights gathered would inform the necessary features of Grammarly’s fluency product, such as enhanced grammar correction, pronunciation assistance, and contextual suggestions to help users produce more natural-sounding English. From a technological standpoint, Grammarly would enhance its current AI-driven system, making adjustments to accommodate the requirements of non-native speakers. This could involve developing machine learning algorithms capable of assessing and advising on pronunciation and intonation, along with utilizing natural language processing to better grasp context. For marketing, Grammarly could focus on reaching out to educational institutions, businesses that engage with international clients, and self-learners who would likely appreciate and benefit from a fluency product. The company could utilize its established marketing channels and potentially form partnerships to connect with new prospective users. Digital strategies might include social media outreach, SEO, blog content, and online advertising. Finally, Grammarly would need to establish a plan for evaluating the success of this new product, which would encompass user satisfaction, metrics for improvement, retention rates, and ultimately, revenue generated from the product.