Technical Interviewing learning path: everything to study, topic by topic

Designing end-to-end interview pipelines, defining stages (phone screen, technical rounds, onsite/virtual), setting timelines, choosing formats, and aligning process with role requirements

Principles of structured interviews, standardized questions, consistent evaluation criteria, reducing subjectivity, evidence-based hiring, and validity/reliability in assessments

Setting and maintaining a consistent hiring bar, defining must-have vs nice-to-have criteria, calibrating expectations across interviewers, bar raiser programs, and quality of hire metrics

Writing effective technical interview questions, balancing difficulty, targeting specific skills, avoiding ambiguity, creating follow-up progressions, and question bank management

Designing coding challenges for interviews, choosing appropriate problem complexity, defining evaluation criteria for code quality, testing, and problem-solving approach

Creating effective take-home assignments, setting time expectations, defining scope, evaluation rubrics for take-homes, respecting candidate time, and reviewing submissions

Conducting system design interviews, scaffolding discussions, evaluating trade-off analysis, assessing architectural thinking, scaling considerations, and adjusting depth by seniority level

Using STAR method (Situation, Task, Action, Result) for behavioral interviews, probing for depth, evaluating soft skills, leadership signals, and cultural fit assessment

Facilitating live coding sessions, creating a comfortable environment, giving appropriate hints, observing problem-solving process, evaluating communication during coding, and time management

Creating interview rubrics and scorecards, defining signal levels (strong yes to strong no), behavioral anchors, evidence-based scoring, and consistent documentation of interview feedback

Techniques for probing technical depth, distinguishing surface knowledge from deep understanding, Socratic questioning, challenging assumptions, and calibrating depth expectations by level

Recognizing and mitigating cognitive biases in hiring, affinity bias, halo/horn effect, confirmation bias, anchoring, structured evaluation to reduce bias, and inclusive interviewing practices

Running effective hiring debriefs, facilitating calibration sessions, resolving disagreements, avoiding groupthink, evidence-based decisions, and documenting hiring rationale

Measuring interview effectiveness, pass-through rates, time-to-hire, interviewer calibration scores, funnel analysis, offer acceptance rates, and quality of hire tracking

Designing positive candidate experiences, communication cadence, transparency about process, timely feedback, rejection handling, and candidate as future advocate

Assembling and coordinating interview panels, assigning focus areas, avoiding redundant evaluations, ensuring comprehensive coverage, scheduling logistics, and panel diversity

Adapting interviews for remote settings, asynchronous evaluation methods, video interview best practices, tooling for remote interviews, timezone management, and maintaining signal quality remotely

Employment law fundamentals for interviewers, prohibited questions, EEOC guidelines, ADA accommodations, data privacy (GDPR), documentation requirements, and compliance training

Building diverse candidate pipelines, inclusive job descriptions, outreach to underrepresented groups, partnership with diversity organizations, and measuring sourcing diversity metrics

Building employer brand for technical talent, tech blog strategy, open source contributions, conference presence, employee advocacy, and engineering culture communication

Training engineers to become effective interviewers, shadow programs, calibration workshops, feedback on interviewing technique, interviewer certification, and continuous improvement

Bridging the gap between hiring and onboarding, transferring interview insights to managers, setting initial expectations, 30-60-90 day alignment, and early retention strategies