Automated Creation of Data-Driven UX Personas with AI

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This workflow streamlines the process of creating detailed user experience (UX) personas based on market research and website data. When a user submits a form with their website URL, region, and industry information, the workflow kicks off by researching relevant market segments using Perplexity. It then generates comprehensive persona descriptions employing OpenAI’s GPT-4 model, incorporating demographic, psychographic, and behavioral insights. Next, the workflow creates prompts for AI image generation, producing visual representations of each persona using DALL·E 3. These images are uploaded to Google Drive, and the detailed personas along with images are automatically updated in a Google Doc document. The process is ideal for UX researchers, product developers, and marketers aiming to quickly craft evidence-based personas that inspire design, marketing strategies, or product features. The automation combines market research, AI-driven content creation, and image generation to save time and enhance the quality of user personas.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.outputParserStructured, formTrigger, googleDocs, googleDrive, perplexity, splitOut, stickyNote

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