Ux Researcher

What it does

This skill empowers AI agents to conduct comprehensive user experience research by generating interview questions, analyzing feedback, and synthesizing insights into actionable design recommendations. It bridges the gap between raw user data and strategic product decisions through automated qualitative analysis.

When to use it

• You need to validate new feature ideas against actual user pain points before development begins.
• You are gathering qualitative feedback from user testing sessions or survey responses.
• You require a structured approach to synthesizing disparate user interview transcripts into clear personas and journey maps.
• You want to identify usability friction points in an existing application without conducting live interviews.

Key capabilities

• Generates targeted interview questions tailored to specific product goals or user segments.
• Analyzes unstructured text data, such as user reviews, chat logs, or interview transcripts.
• Synthesizes findings into structured reports highlighting key trends and actionable insights.
• Creates user personas and empathy maps based on provided research data.

Example prompts

• "Analyze these 20 user interview transcripts about our checkout flow and summarize the top three friction points."
• "Generate a list of 15 open-ended questions to ask potential users regarding their current workflow for managing invoices."
• "Create a user persona based on this dataset of feedback from small business owners using our accounting tool."

Tips & gotchas

Ensure you provide high-quality, context-rich input data (e.g., anonymized transcripts or specific survey results) to maximize the accuracy of the synthesized insights. This skill is designed for qualitative analysis and should be paired with quantitative data for a complete research picture.