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digital-user-research

Extract user insights from public feedback into journey maps and design suggestions.

Updated Oct 25, 2025
Search Tags:#user research#sentiment analysis#review analysis#user journey mapping#user pain points#design suggestions#public feedback
One-click install
npx skills add https://github.com/SoloXLab/perfetto-dsl --skill digital-user-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: digital-user-research
Source: https://github.com/SoloXLab/perfetto-dsl/tree/main/.agents/skills/digital-user-research
Command: npx skills add https://github.com/SoloXLab/perfetto-dsl --skill digital-user-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the pain point of being unable to conduct first-hand user interviews, enabling teams to quickly gather and analyze real user feedback from public internet sources to identify product pain points and unmet user needs without direct user contact.

Core Features & Use Cases

  • Passive Public Data Analysis: Extracts insights from user reviews, community discussions, app store ratings, and other publicly available feedback without requiring user interview recruitment.
  • Structured Insight Generation: Automatically classifies feedback by sentiment, clusters topics, reconstructs user journeys, and identifies experience breakpoints to turn unstructured comments into actionable findings.
  • Use Case: A product team launching a new feature can use this Skill to analyze 50+ App Store and Reddit reviews about the feature to identify the top 3 user friction points and get prioritized design optimization suggestions.

Quick Start

Use the digital-user-research skill to analyze 30 recent Google Play reviews for the note-taking app 'Notion' and output a user journey map with prioritized design suggestions for the note organization feature.

Frequently Asked Questions about digital-user-research

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

FAQPage Schema
How do I analyze app store reviews to identify user pain points without conducting interviews?▼

You can analyze app store reviews by extracting insights from public feedback to identify user pain points and unmet needs without direct user contact. This passive user research approach classifies sentiment and clusters topics from unstructured comments.

Can I generate a user journey map from public community discussions and comments?▼

Yes, you can generate a user journey map from public community discussions by clustering topics and reconstructing user journeys. This process turns unstructured user comments into structured experience breakpoint analysis and actionable findings.

What is the best way to turn unstructured user feedback into actionable design suggestions?▼

The best way to turn unstructured user feedback into actionable design suggestions is through layered user needs analysis. This method classifies sentiment, identifies experience breakpoints, and delivers prioritized design optimization outputs for product teams.

Does passive user research work for analyzing specific feature friction in digital products?▼

Passive user research works for analyzing specific feature friction by processing public feedback from sources like app stores. It helps product teams quickly identify top user friction points and unmet demands for specific digital product features.

How many public reviews do I need to extract meaningful UX research insights?▼

You need at least 50 public reviews to extract meaningful UX research insights effectively. Analyzing this volume of app store and community feedback allows you to identify top friction points and generate prioritized design suggestions.

What are the limitations of using public feedback for user journey mapping?▼

A limitation of using public feedback for user journey mapping is the reliance on unsolicited comments without direct user interviews. This passive approach depends entirely on the availability and quality of public app store or community discussions.

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