interview-system-designer

# 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 ```bash # 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. --- ## Why This Skill Exists Implement — This skill should be used when the user asks to <!-- SR_40: auto-generated from frontmatter `purpose`/`description` (OPP-Phase3). Expand with domain-specific rationale. --> ## When to Use Use this skill when the task requires interview system designer capabilities. <!-- SR_40: auto-generated from frontmatter `when`/`description` (OPP-Phase3). --> ## What If Fails If this skill fails to produce the expected output: (1) verify input completeness, (2) retry with more specific context, (3) fall back to the parent workflow without this skill. <!-- SR_40: auto-generated from frontmatter `what_if_fails` (OPP-Phase3). -->