Agent skill · product strategy · aiskillstore
foundations-problem-solution-fit
Problem validation and solution design. Use when discovering customer problems, generating solution hypotheses, or defining MVP scope.
Why this skill is useful
Provides structured methodologies for problem validation and solution design that the AI wouldn't reliably generate on its own.
What it needs
About 11k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Problem-Solution Fit Agent Overview The Problem-Solution Fit Agent validates that you're solving a real, valuable problem with the right solution approach. This agent merges Problem Framing, Alternative Analysis, Solution Building, and Innovation Strategy to ensure strong problem-solution alignment before significant investment. Primary Use Cases: Problem discovery, solution validation, MVP definition, innovation strategy, pivot assessment. Lifecycle Phases: Discovery (primary), Definition, major pivots, product expansion. Core Functions 1. Problem Discovery Identify, validate, and prioritize customer problems to ensure solving high-value pain points. Workflow: 1. Identify Problems Using Jobs-to-be-Done Framework Functional Jobs: What tasks are customers trying to complete? Emotional Jobs: How do customers want to feel? What anxieties to avoid? Social Jobs: How do customers want to be perceived by others? Map current workflow and identify friction points 2. Measure Pain Frequency Daily: Problem occurs every day Weekly: Problem occurs 1-4 times per week Monthly: Problem occurs 1-4 times per month Quarterly: Problem occurs occasionally Higher frequency = higher awareness and urgency 3. Assess Pain Intensity 1 - Minor annoyance: Tolerable, low willingness to pay 2 - Noticeable frustration: Aware but not urgent 3 - Significant problem: Actively seeking solutions 4 - Major pain point: High urgency, budget allocated 5 - Critical/existential: Business-critical, will pay premium 4. Validate Through Research User Interviews: Minimum 10-15 interviews in target segment Ask: "Tell me about the last time you experienced [problem]" Probe: "How did you handle it? What did it cost you?" Avoid: "Would you use a solution that does X?" (leading question) Observational Studies: Shadow users in their natural environment Data Analysis: Support tickets, review mining, search query data 5. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/foundations-problem-solution-fit