Generate data-driven UX personas with Perplexity, DALL·E 3 & Google Doc

About This Workflow

What This Workflow Does

This workflow automates the creation of data-driven UX personas using Perplexity, DALL·E 3, and Google Docs. It combines the power of multimodal AI and market research to generate detailed persona profiles. The result is a comprehensive understanding of your target audience, enabling more effective user experience design and marketing strategies.

Who Should Use This

This workflow is ideal for developers, marketers, and business owners looking to enhance their user experience design and market research capabilities. It's particularly useful for those interested in leveraging the capabilities of multimodal AI, such as generative models and large language models.

Key Features

• AI-driven persona generation: Uses Perplexity and DALL·E 3 to create detailed persona profiles, including demographic information, goals, pain points, and behavioral patterns.
• Customizable Google Docs template: Allows for easy integration and customization of persona profiles within Google Docs, making it easy to share and collaborate on persona information.
• Multimodal AI integration: Leverages the capabilities of Perplexity and DALL·E 3 to generate high-quality persona profiles, including images and text descriptions.

How to Get Started

To use this workflow, import it into your self-hosted n8n instance and customize the nodes to fit your specific needs. You can then use the workflow to generate data-driven UX personas, which can be used to inform your user experience design and market research efforts.