Afrexai Interview Architect

# Interview Architect

Complete hiring interview system — from job scorecard design through structured question banks, live evaluation rubrics, panel coordination, and offer decisions. Eliminates gut-feel hiring with evidence-based frameworks that predict on-the-job performance.

## Quick Start

Tell me what you need:
- "Design interviews for [role]" → Full interview plan (scorecard + questions + rubrics)
- "Create a scorecard for [role]" → A-Player definition with measurable outcomes
- "Generate questions for [skill/competency]" → Targeted question bank
- "Build a take-home assignment for [role]" → Technical assessment with rubric
- "Evaluate this candidate" → Structured debrief with scoring
- "Audit our interview process" → Bias check + effectiveness review

---

## Phase 1: Job Scorecard (Define Before You Evaluate)

**Rule: Never look at a resume before defining what "great" looks like.**

### Scorecard Template

```yaml
scorecard:
  role: "[Title]"
  level: "[Junior/Mid/Senior/Staff/Principal/Director/VP]"
  team: "[Team name]"
  hiring_manager: "[Name]"
  created: "YYYY-MM-DD"

  mission:
    statement: "[One sentence: why does this role exist?]"
    success_metric: "[How we'll know this hire was successful in 12 months]"

  outcomes:
    # 3-5 specific, measurable results expected in first 12 months
    - outcome: "[e.g., Reduce deployment time from 45min to <10min]"
      measure: "[Metric: deployment duration, measured via CI/CD logs]"
      timeline: "Q1-Q2"
      priority: "critical"

    - outcome: "[e.g., Ship v2 API with 99.9% uptime]"
      measure: "[Uptime %, error rate, customer adoption]"
      timeline: "Q2-Q3"
      priority: "critical"

    - outcome: "[e.g., Mentor 2 junior engineers to mid-level competency]"
      measure: "[Promotion readiness assessment, PR quality metrics]"
      timeline: "Q3-Q4"
      priority: "important"

  competencies:
    technical:
      must_have:
        - name: "[e.g., System design]"
          level: "[Novice/C...

# Interview Architect

> Evidence-based hiring interview system — scorecards, structured questions, evaluation rubrics, and bias mitigation. Stop hiring on gut feel.

## Install

```bash
clawhub install afrexai-interview-architect
```

## What You Get

An 8-phase system that turns "read resume, ask some questions" into a predictive hiring machine:

1. **Job Scorecard** — Define A-Player standards before seeing a single resume
2. **Interview Structure** — Stage-by-stage loop design with pass rates and timing
3. **Question Banks** — Behavioral (STAR), forensic resume probes, future simulations
4. **Technical Assessments** — Live coding, take-home, and system design rubrics
5. **Evaluation & Decision** — Independent scoring, structured debrief protocol, decision matrix
6. **Bias Mitigation** — 10 common biases with specific countermeasures
7. **Candidate Experience** — Communication templates for every stage
8. **Process Audit** — Quarterly review metrics, question effectiveness tracking, interviewer calibration

## Quick Start

```
"Design interviews for Senior Backend Engineer"
"Create a scorecard for Product Manager"
"Generate behavioral questions for ownership"
"Build a take-home for frontend role"
"Audit our interview process"
```

## Why This Over Alternatives

The `interview-designer` skill covers one methodology (Topgrading) in 3.8KB. Good framework, thin execution. This is 30KB covering the full hiring lifecycle — from scorecard design through offer, with complete question banks, scoring rubrics for every interview type, bias mitigation checklists, and quarterly process improvement. Every template is fill-in-ready.

## ⚡ Level Up

Need complete recruiting workflows beyond just interviews?

- **Recruitment Context Pack** ($47) — Full hiring pipeline: sourcing, screening, interviewing, onboarding
- **SaaS Context Pack** ($47) — Technical hiring + team building for SaaS companies
- **Professional Services Context Pack** ($47) — Consultant and specialist hiring...