research-problem-validation

Validate problem statements by gathering web evidence and producing a structured report.

1|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/agilebydesign/agilebydesign-skills --skill research-problem-validation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-problem-validation
Source: https://github.com/agilebydesign/agilebydesign-skills/tree/main/agents/ai-research-assistant/skills/research-problem-validation
Command: npx skills add https://github.com/agilebydesign/agilebydesign-skills --skill research-problem-validation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Determine whether a stated problem is real, recognized, and worth solving by aggregating external evidence from web sources, domain knowledge, and systematic signal analysis, while avoiding reliance on a user’s private codebase unless explicitly requested.

Core Features & Use Cases

  • Problem signal scan: identify who is discussing the problem, capture representative sources, and note volume and recency.
  • Counter-signal scan: surface objections and counter-arguments, highlighting their strength.
  • Competing problems: identify other problems in the same domain that compete for attention.
  • Maturity assessment: rate the problem as Emerging, Growing, Established, or Commoditized, with justification.

Quick Start

Provide a structured problem-validation report for a given hypothesis or statement.

Frequently Asked Questions about research-problem-validation

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

FAQPage Schema
How do I validate a product problem with external evidence?

To validate a product problem with external evidence, aggregate web sources and domain knowledge to perform a systematic signal analysis. This produces a structured report confirming whether the stated problem is real, recognized, and worth solving.

What is problem maturity assessment and when do I need it?

Problem maturity assessment rates a hypothesis as Emerging, Growing, Established, or Commoditized. You need it during early-stage discovery to determine if a problem is recognized and worth solving before committing development resources.

How do I find counter-signals and competing problems for a hypothesis?

Finding counter-signals and competing problems requires a dedicated scan to surface objections, note their strength, and identify other domain problems competing for attention. This highlights competing concerns that might reduce the target problem's priority.

Can I validate an early-stage idea without relying on my private codebase?

Yes, you can validate early-stage ideas without relying on a private codebase. The process gathers external evidence from web sources and model knowledge, ensuring objective problem validation unless your private data is explicitly requested.

What is the best way to scan for problem signals and assess their volume?

The best way to scan for problem signals is to identify who is discussing the problem, capture representative sources, and note the volume and recency of discussions. This evidence gathering grounds the validation process in real market data.

Why should I not skip problem validation for recognized user experiences?

Skipping problem validation for recognized experiences risks building solutions for established or commoditized issues without awareness of competing problems. A maturity assessment reveals whether the problem still warrants dedicated attention and resources.