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theory-analysis-purchase-motivation

Analyze cross-source evidence to identify functional, security, and relational purchase motivations.

Updated Mar 3, 2026
Search Tags:#data-analytics#theory#cross-source#evidence-coding#theory-annotations#purchase_motivation#stp-integration
One-click install
npx skills add https://github.com/TimLai666/skills --skill theory-analysis-purchase-motivation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: theory-analysis-purchase-motivation
Source: https://github.com/TimLai666/skills/tree/main/theory-analysis-purchase-motivation
Command: npx skills add https://github.com/TimLai666/skills --skill theory-analysis-purchase-motivation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analyzes cross-source evidence using Purchase Motivation Theory to identify core drivers behind purchasing decisions.

Core Features & Use Cases

  • Calibrates functional, security, and relational motivations across varied evidence sources.
  • Exports theory_annotations compatible with review-mining-stp for downstream analysis.
  • Supports standalone analysis or integration with review-mining-stp workflows.

Quick Start

Provide an analysis_goal and at least one evidence_item in evidence_items, then run the analysis.

Frequently Asked Questions about theory-analysis-purchase-motivation

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

FAQPage Schema
How do I identify purchase motivations from customer feedback across multiple data sources?▼

Purchase motivation analysis categorizes cross-source evidence from interviews, support tickets, and social posts into functional, security, and relational drivers using theory_annotations taxonomy, providing auditable citations for downstream analysis.

What is Purchase Motivation Theory and how does it classify evidence coding?▼

Purchase Motivation Theory is a framework for evidence coding that calibrates cross-source data into functional, security, and relational motivations. It outputs structured theory_annotations compatible with downstream STP integration workflows.

How do I export theory_annotations compatible with review-mining-stp workflows?▼

To export theory_annotations compatible with review-mining-stp, provide an analysis goal and evidence items to the Skill. It processes cross-source data and outputs structured annotations conforming to the required taxonomy for downstream integration.

Can I analyze social media posts and support tickets together to find why customers buy?▼

You can analyze social posts and support tickets together to find why customers buy. The Skill calibrates functional, security, and relational purchase motivations across varied cross-source evidence including observations and notes.

Do I need review-mining-stp to run cross-source purchase motivation analysis?▼

No, you do not need review-mining-stp to run the analysis. The Skill supports standalone purchase motivation analysis, but optionally exports theory_annotations compatible with review-mining-stp for integrated downstream workflows.

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