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Reducing bias

Structured interviews: a practical guide

Structured interviews are one of the most predictive, least biased hiring tools. Here's how to design questions, build a scoring rubric, and run them consistently.

June 4, 2026 · 6 min read

If you change one thing about your hiring, make it this. A structured interview — same questions, same rubric, scored independently — is consistently one of the most predictive and least biased tools available, and it costs nothing but a little upfront design.

Key takeaway
Decide what a great answer looks like before you interview. That single habit removes most gut-feel bias.

Design the questions

  • Pick the 3–5 competencies the role truly needs.
  • Write 1–2 behavioral or work-sample questions per competency.
  • Ask the same set, in the same order, to every candidate.

Build the rubric

For each question, define what weak / solid / strong answers contain. Score immediately and independently (before any group debrief) so the loudest voice in the room doesn't anchor everyone else.

Doing it at scale

The hard part is consistency across dozens of candidates and interviewers. That's exactly what an AI interview automates — the same structured conversation and rubric every time. Pair it with skills-based screening for a fair, scalable funnel.

See how Spoon runs structured AI interviews.

Frequently asked

What is a structured interview?

A structured interview asks every candidate the same pre-defined, job-relevant questions and scores their answers against a fixed rubric, so candidates are compared on the same basis.

Why are structured interviews better?

They're more predictive of job performance and less prone to bias than unstructured chats, because they remove inconsistency and gut-feel from the evaluation.

How do I build an interview scorecard?

List the 3–5 competencies the role needs, write one or two questions per competency, and define what a weak, solid and strong answer looks like for each before you interview.

Put it into practice with Spoon Hire.

Run fair, skills-first AI interviews and review anonymized, merit-ranked shortlists.