Interview Best Practices

Behavioral interviews predict engineering performance better than technical screens alone — but only when the questions target relevant competencies and interviewers know what to probe. This guide covers the 40 most predictive questions, the STAR evaluation framework, and how to calibrate for seniority level.

Whiteboard coding interviews are poor predictors of job performance — but the alternative isn't 'no technical evaluation.' It's a structured set of formats that assess coding skills as they actually appear in the job: reading code, debugging, discussing trade-offs, and working through ambiguous requirements. This guide covers the evaluation methods, their validity, and how to combine them.

Interview scorecards reduce bias, align interviewers, and produce defensible hiring decisions — but only when built correctly. This guide provides a complete interview scorecard template, scoring rubric, calibration process, and the most common mistakes that make scorecards useless in practice.

Panel interviews give technical roles broader signal than a single interviewer — but only if they are designed correctly. Unstructured panels suffer from social dynamics, redundant questioning, and debrief dominance by the most senior voice. This guide covers the structural design choices that make panel interviews produce consistent, defensible, high-quality hiring decisions.

Structured interviews predict job performance at r=0.51 versus r=0.38 for unstructured formats — a 34% advantage backed by 85 years of research. This article breaks down what that gap means, where bias enters free-form conversations, and how to implement structure without making interviews feel mechanical.

System design interviews are the most reliable predictor of senior engineering performance — yet most companies run them inconsistently. This guide covers evaluation frameworks, question archetypes, and the common interviewer mistakes that invalidate results.

Take-home coding assignments feel like a fair solution to whiteboard anxiety — but they introduce their own problems: high attrition among senior candidates, AI-assisted submissions, inconsistent effort levels, and days of added pipeline delay. This guide covers when take-home assignments make sense, how to design them well when they do, and what to replace them with when they don't.

Technical interview questions need to match the role, seniority level, and specific technical domain you're evaluating. A list of 200+ algorithm puzzles isn't useful — what matters is the right questions for the right job, with a rubric for evaluating answers. This guide covers questions by topic and provides the evaluation criteria that separate strong answers from weak ones.

Most companies train hiring managers on the legal basics of interviewing — and nothing else. The result: interviews that vary wildly in structure, evaluation criteria, and fairness across candidates. This guide covers the training system that produces consistent, defensible, high-quality evaluations: what to teach, how to practice it, and how to measure whether training is working.