interview-designer

Define a role scorecard and generate a structured interview guide template.

Updated Mar 29, 2026
One-click install
npx skills add https://github.com/Mohabsmar/VoiceDev-2.0 --skill interview-designer-mohabsmar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interview-designer
Source: https://github.com/Mohabsmar/VoiceDev-2.0/tree/main/skills/interview-designer
Command: npx skills add https://github.com/Mohabsmar/VoiceDev-2.0 --skill interview-designer-mohabsmar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analyze resumes and design interview strategies using evidence-based methodology to move from "read resume → ask questions" to "define standard → forensic evidence → future simulation," reducing bias and improving hire quality.

Core Features & Use Cases

  • Dynamic War Room (Expert Panel) composition based on role attributes (Geoff Smart, Lou Adler, Daniel Kahneman) to guide interview design.
  • Core Execution Workflow: Scorecard Definition, Forensic Resume Scan, Future Simulation to generate structured interview guides.
  • Output: Direct generation of an interview guide template including red flags, green signals, and future scenarios.

Quick Start

Create an evidence-based interview plan by defining a scorecard, performing a forensic resume scan, and generating future-focused interview questions.

Frequently Asked Questions about interview-designer

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

FAQPage Schema
How do I design a structured interview guide to reduce hiring bias?

Design a structured interview guide by first defining a role's success scorecard—covering mission, outcomes, and competencies—then using it to perform a forensic resume scan and generate future performance simulations, which reduces bias by evaluating evidence against predefined standards rather than relying on resume review.

What is evidence-based interview design and how does it improve hire quality?

Evidence-based interview design shifts the process from reading resumes first to defining standard scorecards, conducting forensic evidence scans, and running future performance simulations, improving hire quality by anchoring evaluations to structured role requirements and reducing subjective bias.

How do I create red and green signals for an interview scorecard?

Create red and green signals by defining a role's success scorecard with specific competencies and outcomes, then translating those standards into direct indicators of positive or negative future performance within a ready-to-use structured interview guide template.

Can I use future performance simulations for any role during interview planning?

Yes, future performance simulations apply to a wide range of roles during interview planning. The workflow dynamically composes an expert panel based on role attributes to guide the generation of future-focused interview questions and scenarios.

What's the best way to evaluate a resume without introducing interviewer bias?

The best way to evaluate a resume without bias is performing a forensic resume scan after defining a standard success scorecard, ensuring all candidate evidence is measured against structured role outcomes and competencies rather than subjective impressions.

Why should I define a success scorecard before reviewing candidate resumes?

Defining a success scorecard before reviewing resumes prevents early bias by establishing the mission, outcomes, and competencies required for the role upfront, ensuring subsequent forensic scans and future simulations measure candidates against objective standards.