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customer-research

Analyze customer research assets and generate personas, quote banks, and competitive summaries.

Updated May 28, 2026
Search Tags:#customer research#voice of customer#jobs to be done#customer personas#review mining#support ticket analysis
One-click install
npx skills add https://github.com/marcosbatallas99/Marketing --skill customer-research-marcosbatallas99
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/marcosbatallas99/Marketing/tree/main/skills/customer-research
Command: npx skills add https://github.com/marcosbatallas99/Marketing --skill customer-research-marcosbatallas99

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Marketing teams and founders often make positioning, copy, and product decisions based on internal assumptions rather than real customer feedback, leading to messaging that misses the mark and product gaps that go unaddressed. This Skill eliminates that guesswork by grounding all customer-facing work in validated, real-world customer insights.

Core Features & Use Cases

  • Dual-Mode Research: Analyze existing research assets (interview transcripts, surveys, support tickets, reviews) or gather new intelligence from digital watering holes like Reddit, G2, and industry forums.
  • Structured Insight Extraction: Pull high-signal data including jobs to be done, pain points, trigger events, verbatim customer language, and competitor gaps, all scored for confidence and recency.
  • Actionable Deliverables: Generate customer personas, voice-of-customer quote banks, research synthesis reports, and competitive intelligence summaries tailored to your goals.
  • Use Case: If you have 6 months of customer support tickets, this Skill will categorize the tickets, extract recurring pain points and "I wish it could…" language, and segment insights by customer tier to inform product and messaging improvements.

Quick Start

Use the customer-research skill to analyze my recent G2 and Reddit mentions of my project management SaaS and extract the top 3 unmet needs with supporting verbatim quotes for my product roadmap.

Frequently Asked Questions about customer-research

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

FAQPage Schema
How do I extract voice of customer insights from support tickets and reviews?▼

To extract voice of customer insights from support tickets and reviews, you can process existing research assets to categorize tickets, identify recurring pain points, and pull verbatim customer language. This yields structured outputs like customer personas, jobs-to-be-done maps, and confidence-scored quote banks for messaging.

What is the best way to analyze Reddit and G2 mentions for customer personas?▼

Analyzing Reddit and G2 mentions for customer personas involves gathering new intelligence from digital watering holes to extract high-signal data. This includes trigger events, competitor gaps, and unmet needs, which are then synthesized into structured customer personas and competitive intelligence summaries.

How do I turn survey responses into jobs to be done maps?▼

Turning survey responses into jobs to be done maps requires analyzing existing research assets to extract high-signal data like pain points and trigger events. The process categorizes these insights, scores them for confidence and recency, and structures them into actionable jobs-to-be-done maps for product positioning.

Can I use existing interview transcripts to generate a competitive intelligence summary?▼

Yes, you can use existing interview transcripts to generate a competitive intelligence summary. The analysis extracts competitor gaps and verbatim customer language from your transcripts, delivering a structured summary with confidence-scored insights tailored to your specific product and positioning goals.

Does customer research work for segmenting feedback by customer tier?▼

Customer research works for segmenting feedback by customer tier by processing support tickets and survey responses to categorize insights based on user segments. This allows you to extract tier-specific pain points and unmet needs, delivering targeted voice-of-customer quote banks for product roadmap improvements.

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