Sourcing How to write a hiring brief you can delegate, to a person or an agent A brief another person can run without a second intake meeting. Six elements, a worked example, and a test for whether the search is really specified.
Sourcing Why candidate replies get lost after outbound outreach Reply rate only shows that a conversation started. Three habits that keep a positive reply from being buried, and how to tell when manual follow-up has run out.
Sourcing The searches you never run: an honest capacity audit for outbound recruiting Outbound is the first work to slip once the week fills up. A working audit that shows which searches actually get hours, and a way to name the coverage model for every role.
Recruiting Metrics How much does interview order change the final hiring decision? Order can enter a hiring decision in several ways, and no study supports a universal number for how much it changes the result. What the research supports, what Metaview’s corpus can’t show, and how to keep sequence out of the rubric.
Interviews How AI-native startups interview differently AI-native teams design the loop around agreed criteria and explicit human decisions, then let AI prepare the evidence. What the data supports, and where it stops.
Recruiting Metrics Do whiteboard interviews actually predict job performance? Whether a whiteboard interview is worth keeping depends on the role, the exercise, and the rubric. What the data can and cannot say, and how to make technical rounds produce evidence worth scoring.
Recruiting Metrics AI is baseline: what Shopify's memo means for your hiring process Shopify made reflexive AI use a baseline expectation for its own teams. That is an operating policy rather than a universal hiring bar. What the memo actually asks of hiring teams, and how to assess AI fluency when a role needs it.
Recruiting Metrics Do the best interviewers ask fewer questions? Question counts vary far more between interviewers than most hiring teams expect. That spread is worth reading. It isn’t a ranking, and no interview record holds the outcome that would make it one.
Interviews SaaS hiring benchmarks: what Metaview's data can and can't tell you Metaview's corpus has no validated industry field, so it cannot produce a SaaS hiring benchmark. What it can show is how often a hiring decision leaves a written record behind.
Automation The agentic talent acquisition strategy: 7 workflows and what the evidence supports An agentic talent acquisition strategy puts an AI agent at each stage of hiring so the record one stage produces reaches the next. Seven workflows, the evidence behind two of them, and the limits nobody can talk past.
Hiring managers AI scorecard adoption across 5.5 million conversations: what teams keep, and what moves submission Interviewers keep 77.4% of the scorecards Metaview drafts, and a generated first draft gets submitted far more often than one written from scratch. Where AI scorecard adoption is real, and what moves it.
Recruiting analytics Time to Hire by Role: What Interview Data Can and Cannot Measure An interview recording carries two timestamps, the start and the end of the conversation. It carries no hire date. Here’s what a corpus of 5.2 million recorded interviews can and cannot say about time to hire by role.
Interviews Skills-based hiring: how to interview for skills and check that you did Skills-based hiring is sold on what happens after the offer, which is the one thing a hiring loop never observes. Here’s the narrower check that’s actually available: whether the loop assessed the skills you named, and whether the record survived to the decision.
Application Review Inbound application overload: what an agent can actually fix Learn why inbound application screening breaks at scale and how AI recruiting agents help teams review applications faster, identify top talent, and reduce manual work.
Interviews How to conduct a recruiter phone screen: questions, structure, and the record it leaves How to run a recruiter phone screen that leaves the next interviewer something to read: what to prepare, a six-question core, and how to calibrate the stage without over-reading conversion.
Recruiting Metrics More than half of interviews run over. That does not mean they are too long. 54.3% of interviews run past their scheduled slot, and among those that do the median overrun is 11.9 minutes. What an overrun tells you about how a stage is scoped, and the conclusion this data will not support.
Hiring Strategy The bar raiser program: how to build one without being Amazon What a bar raiser actually does, how to stand up a program with the people you already have, and why the test of one is the record it leaves behind rather than the hires it’s credited with.
AI Agents What an agentic recruiting platform actually means (and what it changes Monday morning) One shared context layer makes the whole team faster, and it can make the whole team wrong in the same direction. What an agentic recruiting platform actually means, and what changes Monday morning.
AI Sourcing AI sourcing vs Boolean search: what changes, and what nobody has measured Boolean is a query technique for keyword search. What actually changes when you describe a role instead of writing a string, what Metaview can measure about it, and the one number nobody in sourcing has.
Inside Metaview MCP and your interview record: what an AI assistant can actually answer An MCP server doesn’t make an assistant smarter about hiring. It gives it reach into one record. Here’s what Metaview's MCP server reaches, what it doesn’t, and the question worth asking before you connect it.
Product updates Superpowered recruiters don't automatically mean superpowered recruiting. AI is already creating superpowered recruiters. The next frontier is turning that productivity into better hiring outcomes across the entire company. That’s what Metaview is building.
Application Review The average role gets 180.6 applications. The median gets 45. The mean and the median describe two different jobs. Why application volume is a distribution problem, what moving the first read to an agent actually fixes, and where this data runs out.
Statistics The 3 most common mistakes inexperienced interviewers make Over the past six years, Metaview has captured behavioral data from tens of thousands of hours of real interviews. Three patterns repeat for new interviewers. They have almost nothing to
Case studies How Brex used Metaview to level-up their Values Interviews Learn how Brex reinvented Values Interviews using its six core values and Metaview's AI recruiting platform.
Interview Intelligence Is Recruiting Brainfood's Hung Lee a good interviewer? In early 2022, Metaview CEO Siadhal Magos appeared as a guest on Founders Focus, the weekly live event and podcast hosted by Recruiting Brainfood’s Hung Lee. Halfway through the
