customer-research

Synthesize customer research data into insights, personas, and reports.

1|Updated May 16, 2026
One-click install
npx skills add https://github.com/cengo33/hal-piyasa --skill customer-research-cengo33
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/cengo33/hal-piyasa/tree/main/_skills/customer-research
Command: npx skills add https://github.com/cengo33/hal-piyasa --skill customer-research-cengo33

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill assists in conducting, analyzing, and synthesizing customer research, helping you understand customer needs and inform product development and marketing strategies.

Core Features & Use Cases

  • Analyze Existing Assets: Process transcripts, surveys, reviews, and support tickets to extract insights.
  • Digital Watering Hole Research: Gather intel from online sources like Reddit, G2, forums, and communities.
  • Persona Generation: Build detailed customer personas based on research findings.
  • Research Synthesis: Compile and organize research findings into actionable reports.
  • Competitive Intelligence: Analyze customer sentiment and competitor reviews.

Quick Start

Use the customer-research skill to analyze customer support tickets from the last six months and generate a report on recurring issues.

Frequently Asked Questions about customer-research

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

FAQPage Schema
How do I extract customer insights from support tickets and survey transcripts?

Customer insights are extracted by synthesizing data from support tickets, surveys, and interviews to identify recurring needs, pain points, and desired outcomes. This process compiles raw qualitative data into actionable research reports.

What is the best way to gather customer research from online communities like Reddit?

Gathering customer research from online communities involves analyzing discussions from platforms like Reddit and G2. This technique, called digital watering hole research, collects intel on customer sentiment and competitor perceptions.

Can I generate detailed customer personas from existing product reviews?

Generating customer personas from product reviews is possible by processing and synthesizing review data to extract behavioral patterns. The analysis builds detailed personas based directly on identified customer needs and desired outcomes.

How do I conduct competitive analysis using customer sentiment data?

Competitive analysis using customer sentiment data involves analyzing competitor reviews and support tickets. This technique extracts comparative intelligence on competitor weaknesses and highlights unmet customer needs for strategic positioning.

What data sources do I need to build research-driven marketing strategies?

Building research-driven marketing strategies requires access to diverse customer data sources including interviews, surveys, support tickets, and online community platforms. Synthesizing these inputs generates insights on pain points and desired outcomes.