Leo Velásquez
About Leo Velásquez
Leo Velásquez is a Senior Experiment Designer known for enhancing user surveys with GPT-4, featured in TechCrunch and having raised $3.8M in seed funding.
Senior Experiment Designer
Leo Velásquez holds the title of Senior Experiment Designer. In this role, he focuses on creating innovative approaches to user experience research. His work involves a range of research methods, ensuring the collection of comprehensive and accurate data. The methods he uses include interactive, audio, and video interviews, which offer versatility in how feedback is gathered. This role emphasizes the importance of usability and design, strategic and tactical research, concept testing, customer experience, and brand measurement.
TechCrunch Feature on GPT-4 Integration
Leo Velásquez was featured in TechCrunch for his pioneering use of GPT-4 to enhance user surveys. His integration of GPT-4 has significantly improved the efficiency and depth of data collection, allowing for a more nuanced understanding of user feedback. This technology supports multilingual interviews and can handle various interview modes, including interactive, audio, and video. The feature highlights his innovative approach and contributions to leveraging advanced AI in research.
Secured $3.8M Seed Funding
Leo Velásquez successfully raised a seed round of $3.8M. This funding aids in expanding the capabilities and reach of his user research methodologies. The seed funding allows for further development and refinement of research technologies and methodologies, ensuring that users receive high-quality, accurate insights. Such financial backing is a testament to the potential and effectiveness of his research solutions.
Azure OpenAI Service for Security and Anonymity
Leo Velásquez employs Azure OpenAI Service to ensure security and anonymity in his research endeavors. This service guarantees that no user data is ever used to train models, maintaining strict confidentiality and data protection. By leveraging Azure OpenAI, Velásquez ensures that the data handling processes meet high standards of security, thus fostering greater trust and compliance with privacy standards in his research practices.
Automated Synthesis and Theme Identification
One of the key features of Leo Velásquez's approach is the use of automated synthesis to identify common themes and tag relevant conversations. This capability streamlines the data analysis process, allowing for quick identification of patterns and insights. By using advanced AI tools, Velásquez ensures that research outcomes are both accurate and actionable. This method supports various types of strategic and tactical research, including usability and design testing, positioning and ad testing, customer experience, and brand measurement.