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¶
- Run
scripts/interview_planner.pyto generate a baseline loop. - Align rounds to role-specific competencies.
- Validate scoring rubric consistency with interview panel leads.
- Review for bias controls before rollout.
- Recalibrate quarterly using hiring outcome data.
References¶
references/interview-frameworks.mdreferences/bias_mitigation_checklist.mdreferences/competency_matrix_templates.mdreferences/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¶
- Keep round objectives explicit and non-overlapping.
- Require evidence for each score recommendation.
- Use the same baseline rubric across comparable roles.
- Revisit loop design based on quality-of-hire outcomes.