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marketing-customer-research

Analyze customer interviews, reviews, and community posts to extract pains, triggers, and personas.

Updated May 26, 2026
Search Tags:#personas#customer research#voice of customer#jobs to be done#interview analysis#review mining#reddit research
One-click install
npx skills add https://github.com/avel123111/triplanio --skill marketing-customer-research-avel123111
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: marketing-customer-research
Source: https://github.com/avel123111/triplanio/tree/main/.claude/skills/marketing-customer-research
Command: npx skills add https://github.com/avel123111/triplanio --skill marketing-customer-research-avel123111

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Marketing and product decisions are often based on assumptions rather than what customers actually say. This Skill turns raw research material — interview transcripts, surveys, support tickets, G2 reviews, Reddit threads — into structured insights like pain points, jobs-to-be-done, personas, and voice-of-customer quote banks. ## Core Features & Use Cases - Existing Asset Analysis: Extract jobs-to-be-done, pains, triggers, desired outcomes, and exact customer language from transcripts, surveys, support tickets, NPS responses, and win/loss notes, with confidence scoring per insight. - Digital Watering Hole Research: Gather unfiltered customer language from Reddit, G2/Capterra, Hacker News, LinkedIn, YouTube, app stores, and SparkToro using per-platform playbooks in the references guide. - Persona & Deliverable Generation: Build evidence-based personas, VOC quote banks, JTBD maps, and competitive intelligence summaries from a minimum viable sample of data points. - Use Case: You have 20 sales call transcripts and want to improve landing page messaging. The Skill clusters recurring pains, pulls verbatim quotes, and produces a synthesis report with confidence labels. ## Quick Start Analyze these customer interview transcripts and produce a research synthesis report with the top pain themes and representative quotes.

Frequently Asked Questions about marketing-customer-research

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

FAQPage Schema
How do I analyze customer interview transcripts for marketing insights?▼

Extract jobs-to-be-done, pain points, trigger events, desired outcomes, and exact customer vocabulary from each transcript. Then cluster themes across transcripts, score them by frequency and intensity, and label each insight with a confidence level based on source count.

What online sources are best for voice of customer research?▼

For B2B SaaS, start with G2 and Capterra reviews plus role-specific subreddits. For consumer products, use app store reviews, hobby subreddits, and TikTok or YouTube comments. SparkToro reveals which podcasts, sites, and communities your audience actually follows.

How many data points do I need to build a customer persona?▼

Use at least 5 to 10 independent data points from a consistent segment before building a persona. Personas built from fewer sources risk representing outliers rather than real patterns, and details without data should be left blank rather than invented.

Which G2 reviews give the most useful competitive intelligence?▼

Three-star reviews of your own product are the most honest, while competitor four-star reviews reveal weaknesses from customers who otherwise like the product. Extract what users dislike, what they switched from, and unmet needs phrased as wishes.

How do I avoid bias when synthesizing customer research?▼

Weight sources by their known skews: reviewers skew toward strong opinions, support tickets skew toward problems, and Reddit skews technical and skeptical. Prioritize data from the last 12 months and require themes to appear across multiple independent sources before acting.

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