How to Hire Seasonal Employees Fast: A Holiday 2026 Hiring Plan
A week-by-week plan for hiring seasonal employees before the holiday peak: where to find them, how to screen hundreds quickly, and how to keep them showing up.
Practical guides on screening, structured interviews and interviewing with AI, from the team that builds DIO.
A week-by-week plan for hiring seasonal employees before the holiday peak: where to find them, how to screen hundreds quickly, and how to keep them showing up.
The questions recruiters ask in a first phone screen, what each one is really checking, and how to answer well, with example answers and the mistakes to avoid.
Forty probing questions for interviewers, grouped by what's missing from the answer, with when to use each and how to probe without leading the candidate.
A word-for-word phone screen script for recruiters: what to say, which questions to ask in what order, what to listen for, and a 1–5 scorecard to fill in.
How to calculate the interview-to-hire ratio, why published benchmarks disagree, what a healthy ratio looks like for your roles, and how to bring it down.
Twelve interview invitation email and text templates, from phone screens to AI interviews, plus reminders, reschedules and the details every invitation needs.
What interview calibration is, why interviewers score the same answer differently, and a one-hour calibration session you can run with anchors and examples.
Thirty intake meeting questions to ask a hiring manager before a search starts, grouped by purpose, with a free intake form and the decisions to leave with.
What evidence-based hiring means, what research says predicts job performance, and a seven-step playbook for hiring on evidence instead of impressions.
Twenty-five candidate experience survey questions by hiring stage, when to send each survey, and how to turn answers into fixes, with a free template.
What an AI interviewer is, how an AI interview works for candidates and recruiters, the four kinds on the market, and where a person still has to decide.
What an AI interview is, how it works, the main kinds, what one is like from start to finish, whether it's recorded, and what happens after you finish.
The difference between time to hire and time to fill, how to calculate each, recent benchmarks, and where the first round quietly loses the most days.
What a structured interview is, why research ranks it first among hiring methods, a full six-question example with anchors, and how to run them at scale.
50 pre-screening interview questions by purpose, with what each answer tells you, an order for a 15-minute screen, and how to score answers consistently.
What knockout questions are, 25 examples by type, how to word them so a good candidate isn't lost on a technicality, and why a flag beats an auto-reject.
Turn a job description into interview questions in five steps, with a worked Customer Success Manager example: 10 questions, follow-ups and scoring anchors.
A free interview scorecard template with 1-3-5 rubric anchors, worked examples for three roles, STAR scoring, and how to calibrate your interviewers.
Why candidates miss interviews or go quiet, how to measure drop-off by stage, and the fixes that work, with three plain email templates you can copy.
How to prepare for an AI interview: set up your room and microphone, prepare five or six STAR stories, be specific, and why reading AI answers backfires.
15 questions to ask every AI interview software vendor, what a good answer sounds like, a two-week pilot plan, and the red flags that should end a demo.
Twelve ways recruiters use AI that work today, from job descriptions to first-round interviews, each with an example and a watch-out, plus three that don't.
How AI interview scoring turns a transcript into scores, what goes wrong (invented quotes, inconsistent runs, polish over substance) and how to test a vendor.
A high-volume hiring strategy for roles with hundreds of applicants: must-haves, a short application, first rounds with no scheduling, and the metrics to watch.
How to calculate cost per hire: what counts as internal and external cost, a worked example, and the recruiter screening time most teams leave out.
60 competency-based interview questions across 12 competencies, each with a follow-up and what a strong answer includes, plus how to pick and score them.
How candidate fraud works, from fake résumés and proxy interviews to deepfakes and AI-written answers, and the checks that catch it at each stage of hiring.
Why a voice interview is a sample of call center work, what to assess, 12 customer service questions with strong answers, and how to add a skills check.
An AI interview isn't a red flag on its own, but scammers borrow the format. The signs of a legitimate AI interview, the signs of a fake one, and how to check.
Five first-round formats side by side: recruiter phone screens, AI phone bots, one-way video, chat screening and browser voice interviews, and when each fits.
A plain map of AI recruiting tools in eight categories, from sourcing and AI recruiters to AI interviewers and notetakers, with where each fits and what to ask.
How healthcare teams use AI interviews to screen nurses, CNAs and care staff: what the first round must cover, 12 behavioral questions, and where people decide.
How staffing agencies use AI interviews to screen every applicant to a job order, submit faster with consistent notes, and re-screen their database.
What an AI interviewer does better than a person, what people still do better, a side-by-side table, and where each belongs in your hiring process.
Greenhouse found 38% of US job seekers have quit a hiring process over an AI interview. What candidates dislike, and the choices that keep them.
Where bias gets into AI interviews, from training data and accents to fluency scoring, documented examples, and how to test a tool before you trust its scores.
AI in hiring statistics for 2026, each with its source, sample and date: employer adoption, candidate trust, fraud, recruiter workload and public opinion.