# Interviewing

> Conduct structured interviews that predict job performance — with consistent questions, scoring, and evidence-based decisions. Use when training interviewers, designing interview loops, or improving selection quality.

- Skill: `itsual/interviewing` (Agent Skill)
- Install (CLI): `npx skillmds@latest add itsual/interviewing`
- Raw SKILL.md: https://api.skillmd.com/api/skills/itsual/interviewing/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: itsual (https://skillmd.com/u/itsual)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/itsual/interviewing

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# Interviewing

## Overview

Structured interviewing improves prediction and fairness versus unstructured chat. Good interviews collect comparable evidence against defined competencies.

## When to Use

- Designing interview loops for a role
- Training hiring managers and interviewers
- Reducing bias and noise in selection
- Debrief and decision quality improvement

## Core Practices

- Define competencies tied to role success
- Use consistent question banks and scoring rubrics
- Probe for specific past behavior and outcomes
- Take evidence notes, not only impressions
- Debrief with structured comparison across candidates
- Separate “culture add” from affinity bias

## Principles

- Gut feel is data — weak data
- Same questions enable fair comparison
- Interviewer training is a control, not optional polish
- One strong interviewer cannot compensate for a chaotic loop

## Verification

- [ ] Competencies and rubrics exist for the role
- [ ] Interviewers are briefed and calibrated
- [ ] Decisions reference scored evidence