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How should you use job boards when you know they’re flawed? Ignoring them is naive because they still host a large share of open roles and aggregate postings you'd struggle to find individually. Using them passively is self-defeating because the problems identified in previous articles in this series: signal collapse, parsing failures and automation dysfunction don't disappear just because you're clicking "apply." Understanding the structural problems lets you design a search

Why does job search feel harder now than 10 years ago? The common answer is "more competition." But that's incomplete. Hiring is more automated than ever. Job search feels worse than ever. The connection is direct. Automation removed feedback loops without replacing them with usable signals. Why do ATS systems fail to scan resumes correctly? Applicant Tracking Systems (ATS) have been around for decades, but they still make surprisingly stupid mistakes. The ATS isn't reading y

How many jobs are actually posted vs. filled through other channels? If you're frustrated by your job search, you might assume you're doing something wrong: your resume needs work, your LinkedIn profile isn't optimized, you're not applying to enough positions. But there's a structural issue you're probably not seeing. The view we have of the job market is incomplete. Labor market data comes from government surveys that track formal employment at established companies. This sy

What should you search for when looking for a job? Most people default to job titles: "marketing manager," "data analyst" or "project coordinator." That's the obvious starting point. It's also where the problems begin. Titles are abstractions. They collapse wildly different work into the same label and use different labels to describe the same work. If you're searching by title alone, you're working with broken categories. That's the reason qualified people miss relevant oppo