interview-me

Clarify ambiguous requirements through hypothesis-driven discovery interviews before implementation.

Updated Jun 18, 2026
One-click install
npx skills add https://github.com/MinhDuyDEV/mdpi --skill interview-me-minhduydev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interview-me
Source: https://github.com/MinhDuyDEV/mdpi/tree/main/.pi/skills/interview-me
Command: npx skills add https://github.com/MinhDuyDEV/mdpi --skill interview-me-minhduydev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents wasted implementation effort caused by ambiguous requests by uncovering the user's actual goals, constraints, and success criteria before planning or coding begins.

Core Features & Use Cases

  • One-question discovery interview: Guides users through focused questions with explicit hypotheses to reveal hidden requirements.
  • Intent validation: Builds a shared understanding of outcomes, users, constraints, and non-goals before downstream work.
  • Use Case: When a user asks to build a dashboard without explaining the audience or purpose, use this Skill to discover whether they need metrics tracking, experiment management, or another solution entirely.

Quick Start

Use the interview-me skill to clarify what I actually need before starting this project.

Frequently Asked Questions about interview-me

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

FAQPage Schema
How do I clarify ambiguous product requirements before starting implementation?

Intent validation builds shared understanding of outcomes and constraints before downstream work. It tracks confidence levels and requires explicit confirmation to ensure requirements are fully captured before planning or implementation.

What is the best way to run a discovery interview for underspecified feature ideas?

A discovery interview for underspecified feature ideas guides users through one-question iterative questioning with explicit hypotheses. This uncovers hidden requirements and validates actual product intent before specification.

When do I need to extract user intent before planning a software feature?

You need to extract user intent before planning when receiving underspecified product requests. If a user asks to build a dashboard without explaining the audience, intent extraction prevents wasted implementation effort.

Can I use hypothesis-driven questioning to prevent building the wrong product?

Yes, you can use hypothesis-driven questioning to prevent building the wrong product. This approach applies iterative questions to uncover actual goals and success criteria before coding or specification work begins.

Does intent discovery work for underspecified product requests without clear goals?

Intent discovery works effectively for underspecified product requests by applying iterative questions. It clarifies missing goals, constraints, and non-goals, ensuring explicit intent confirmation before handing work to downstream skills.