hiring-loop-designlisted
Install: claude install-skill Amey-Thakur/AI-SKILLS
# Hiring loop design
An interview loop is a measurement instrument, and most are badly calibrated:
four interviewers ask variants of the same coding question, then average their
gut feelings in a debrief steered by whoever speaks first. Structured loops
predict on-the-job performance far better than unstructured ones. The design
work is deciding what each hour measures and holding the panel to it.
## Method
1. **Map competencies to interviews, one owner each.** List the competencies the
role actually needs (coding, system design, debugging, collaboration, domain
depth) and assign each to a specific interviewer. When two slots both probe
algorithms, you buy redundant signal and leave a competency untested.
2. **Standardize the questions and the rubric.** Use a shared question bank with
a scoring rubric that carries anchored examples: what a weak, solid, and
strong answer to this exact question looks like. Consistent questions are what
make candidates comparable and what gives the interview predictive validity.
3. **Calibrate interviewers to the bar.** New interviewers shadow and
reverse-shadow before they score alone, and the panel agrees what the target
level's "strong" looks like. An uncalibrated interviewer measures their own
standards, and the loop is only as consistent as its softest grader.
4. **Require written feedback before the debrief.** Each interviewer submits a
hire or no-hire call with evidence and a rationale before anyone talks.