mh-cto-sdlc-user-research

Convert raw user research data into validated insights and behavioral patterns.

2|Updated Apr 5, 2026

Search Tags:#validation #user research #product development #persona generation #insight synthesis

Ready to run

npx skills add https://github.com/Imad-Oute/MicroHard --skill mh-cto-sdlc-user-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mh-cto-sdlc-user-research
Source: https://github.com/Imad-Oute/MicroHard/tree/main/src/departments/cto/sdlc/phase-1-analysis/mh-cto-sdlc-user-research
Command: npx skills add https://github.com/Imad-Oute/MicroHard --skill mh-cto-sdlc-user-research

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of converting raw user research data into actionable insights, validating assumptions, and generating lightweight persona sketches for product development.

Core Features & Use Cases

User Research Synthesis: Converts raw research data into behavioral patterns and validated assumptions.
Assumption Validation: Updates assumption risk levels based on evidence from research.
Persona Sketch Generation: Produces behavioral profiles of primary user sub-types.
Research Planning: Offers a research plan when no research exists yet.
Use Case: After conducting user interviews and observations, use this Skill to synthesize the findings, validate assumptions, and create personas to inform product development.

Quick Start

Run the skill with the trigger phrase "user research" to begin the synthesis process.

Frequently Asked Questions about mh-cto-sdlc-user-research

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

FAQPage Schema

How do I synthesize raw user research data into actionable insights for product development?▼

You can synthesize user research by converting raw interview observations into validated behavioral patterns and assumption updates, producing actionable insights for early product development phases.

What is the best way to validate product assumptions against user research findings?▼

Assumption validation updates risk levels by cross-referencing your product assumptions with direct evidence gathered from user research findings, ensuring decisions are grounded in real behavioral data.

How do I generate user personas from raw interview data?▼

Persona generation analyzes raw user research data to produce behavioral profiles of primary user sub-types, grouping interview findings into distinct profiles to guide product development decisions.

Can I use this to plan user research if I have no existing data?▼

Yes, when no user research exists yet, the skill offers a research plan to guide your initial data collection, ensuring you gather the right observations and interviews for later insight synthesis.

What types of user research data do I need to provide for insight synthesis?▼

Insight synthesis requires analysis of user interviews, direct observations, and existing data, converting these raw inputs into validated behavioral patterns and lightweight persona sketches.