interview-system-designer

Comprehensive interview loop planning and calibration support for role-based hiring systems.

Overview

Use this skill to create structured interview loops, standardize question quality, and keep hiring signal consistent across interviewers.

Core Capabilities

• Interview loop planning by role and level
• Round-by-round focus and timing recommendations
• Suggested question sets by round type
• Framework support for scoring and calibration
• Bias-reduction and process consistency guidance

Quick Start

# Generate a loop plan for a role and level
python3 scripts/interview_planner.py --role "Senior Software Engineer" --level senior

# JSON output for integration with internal tooling
python3 scripts/interview_planner.py --role "Product Manager" --level mid --json

Recommended Workflow

1. Run scripts/interview_planner.py to generate a baseline loop.
2. Align rounds to role-specific competencies.
3. Validate scoring rubric consistency with interview panel leads.
4. Review for bias controls before rollout.
5. Recalibrate quarterly using hiring outcome data.

References

• references/interview-frameworks.md
• references/bias_mitigation_checklist.md
• references/competency_matrix_templates.md
• references/debrief_facilitation_guide.md

Common Pitfalls

• Overweighting one round while ignoring other competency signals
• Using unstructured interviews without standardized scoring
• Skipping calibration sessions for interviewers
• Changing hiring bar without documenting rationale

Best Practices

1. Keep round objectives explicit and non-overlapping.
2. Require evidence for each score recommendation.
3. Use the same baseline rubric across comparable roles.
4. Revisit loop design based on quality-of-hire outcomes.