desire-evaluator

Quantify human desire motivations across five dimensions into a scoring profile.

432|47|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/MaxKmet/idea-validation-agents --skill desire-evaluator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: desire-evaluator
Source: https://github.com/MaxKmet/idea-validation-agents/tree/main/.claude/skills/desire-evaluator
Command: npx skills add https://github.com/MaxKmet/idea-validation-agents --skill desire-evaluator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Humans often act based on hidden motives. This skill provides a structured way to quantify core desires—survival, status, belonging, control, and curiosity—enabling more accurate interpretation of decisions and behaviors.

Core Features & Use Cases

  • Score and compare motivation signals across the five dimensions to prioritize product ideas, features, or interventions.
  • Support research and experimentation by tracking how changes in context affect motive scores.
  • Use cases include product design brainstorming, user research synthesis, and decision-support dashboards for leadership.

Quick Start

Describe a scenario and the output you want, and the system will return a concise motivation score profile.

Frequently Asked Questions about desire-evaluator

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

FAQPage Schema
How do I quantify human motivation to guide product design decisions?

To quantify human motivation for product decisions, you score core desires across survival, status, belonging, control, and curiosity. This structured scoring system outputs a clear motivation profile to prioritize features or interventions.

What is desire scoring and how does it work for user research synthesis?

Desire scoring is a structured method that quantifies hidden human motives into comparable scores across five behavioral dimensions. It works by analyzing a described scenario and returning a concise motivation score profile for research synthesis.

Can I use motivation analysis for behavioral studies involving control and curiosity?

Yes, you can apply motivation analysis across behavioral studies involving control and curiosity. The system tracks how changes in context affect motive scores, supporting experimentation and research tracking.

What's the best way to compare motivation signals for product feature prioritization?

The best way to compare motivation signals is by scoring them across the five core desire dimensions. This generates a structured motivation profile that enables direct comparison and prioritization of product ideas.

How do I track how context changes affect human behavior motive scores?

You track context changes by describing the new scenario to the system and generating an updated motivation profile. This supports experimentation by comparing the new motive scores against previous baseline scores.

Do I need any specific frameworks to analyze hidden motives in decision-support dashboards?

No specific frameworks are required to analyze hidden motives for decision-support dashboards. You simply describe a scenario and the desired output, and the system returns a structured motivation score profile.