Language Model: ChatGPT-4 Data Analyst Summary: Using synthetic data, analyze customer service emails, chat logs, and product reviews, then compile a list of 10 most frequently asked questions and concerns related to product specifications, order tracking, return policies, and care instructions. Prompting techniques used: Directive Prompting: Give precise instructions to generate specific types of data (customer service emails, chat logs, product reviews), the quantity of data, and the context, then save the generated data to a file for download. Multi-Source Data Synthesis: Synthesize information from the three different types of data sources to gain a well-rounded view of customer concerns. Data-Driven Analysis: Analyze and identify patterns in the data as the basis for creating a targeted list of the most common questions and concerns on the business's website.