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research

Aggregate user feedback from public and internal sources into ranked UX research briefs.

8|12|Updated Sep 19, 2025
Search Tags:#user experience#github issues#support tickets#product feedback#ux research#user pain points#ux friction
One-click install
npx skills add https://github.com/xpert-ai/xpert-plugins --skill research-xpert-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/xpert-ai/xpert-plugins/tree/main/community/roles/product-design/skills/research
Command: npx skills add https://github.com/xpert-ai/xpert-plugins --skill research-xpert-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually sifting through scattered user feedback across public forums, support tickets, and internal channels to identify critical UX issues is time-consuming and often leads to missed high-impact pain points for digital products. This skill automates that research process to deliver clear, evidence-backed insights quickly.

Core Features & Use Cases

  • Multi-source evidence aggregation: Pulls user feedback from public platforms (Reddit, X/Twitter, Hacker News, Stack Overflow, GitHub issues) and internal sources (Slack, Gong, support tickets, project management tools) when accessible.
  • Prioritized problem ranking: Clusters feedback into categorized UX friction areas (onboarding, docs, workflows, billing, etc.) and ranks issues by severity, frequency, and product impact to highlight the most critical fixes.
  • Structured research briefs: Delivers easy-to-consume reports that separate observed evidence from inference, include source citations, and map recommendations to actionable timelines.
  • Use Case: For example, if your team is rolling out a new SaaS onboarding flow, use this skill to quickly identify the top 3 friction points users are hitting during sign-up from public support forums and your internal help desk tickets.

Quick Start

Use the research skill to identify the top UX pain points for your project management tool from public user feedback and internal support tickets.

Frequently Asked Questions about research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify high-signal UX pain points from scattered user feedback?▼

Identifying high-signal UX pain points requires aggregating user feedback from public forums like Reddit and internal support tickets, then clustering the data into categorized friction areas ranked by severity and frequency to highlight critical product fixes.

What is the best way to analyze GitHub issues and support tickets for UX friction?▼

Analyzing GitHub issues and support tickets for UX friction involves clustering feedback into categorized problem areas like onboarding or billing, then ranking issues by product impact to produce evidence-backed research briefs with source citations.

Can I aggregate user experience feedback from both public platforms and internal channels?▼

Yes, aggregating user experience feedback works by pulling evidence from public platforms like X and Hacker News alongside internal sources like Slack, Gong, and Notion when accessible, clustering the combined data into ranked UX friction categories.

How does clustering product feedback into categorized UX friction areas work?▼

Clustering product feedback into categorized UX friction areas works by grouping observed user problems from multiple sources into distinct categories, separating observed evidence from inference, and mapping recommendations to actionable product timelines.

Does UX research automation separate observed user problems from inference?▼

Yes, UX research automation separates observed user problems from inference by structuring research briefs to include direct source citations, ensuring product teams distinguish between actual user complaints and inferred conclusions.

When do I need automated UX research for my digital product?▼

You need automated UX research for your digital product when manually sifting through scattered user feedback across forums and internal channels becomes time-consuming, risking missed high-impact pain points during critical updates like SaaS onboarding rollouts.

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