Wildcard Search

What is a Wildcard Search?

A wildcard search is a classic database query technique that uses an asterisk (*) to stand in for one or more characters in a search term. For example, searching for "admin*" would return candidates with terms like "admin," "administrator," and "administration" in their profiles. It’s a way to broaden a keyword search to catch variations of a root word.

Why Recruiters Relied on Search Tricks

For a hiring manager, the goal is to find the best talent, regardless of the exact phrasing on their resume. The problem is that candidates describe the same skills in different ways. A project manager might list "management," while another lists "managing." A basic keyword search would miss one of them. Wildcards were a manual workaround for this, forcing recruiters using systems like Greenhouse or Workable to think like a database admin, painstakingly building queries to cover all possible linguistic bases.

The Flaws of Manual Search in Modern Hiring

While useful in a limited context, wildcard searches are a blunt instrument that often creates more problems than they solve. They lack the intelligence to understand context, leading to frustrating and inefficient workflows.

• High Signal Noise: Searching for "dev*" might find "developer," but it will also find irrelevant terms like "device" or "deviation," flooding you with unqualified candidates.
• Missed Intent: A wildcard search cannot understand that a "Lead Software Engineer" at one company is equivalent to a "Principal Developer" at another. It only matches characters, not concepts.
• High Recruiter Effort: The burden is on you to predict every possible variation and suffix. This is time that could be spent engaging with top talent, not wrestling with search syntax.

The HireZapp Advantage: From Keywords to Intent

HireZapp makes manual search techniques like wildcards obsolete. Our AI-powered platform moves beyond simple keyword matching to understand recruiter intent. When you search for "senior Java developer with cloud experience," our system doesn't just scan for those words. It analyzes profiles from resumes, LinkedIn, and GitHub to identify candidates with relevant project histories, seniority indicators, and associated skills like AWS, Azure, or Kubernetes, even if they aren't explicitly in your query. While platforms like Lever require you to build precise searches, HireZapp’s natural language processing interprets your needs and delivers an AI-ranked shortlist of the most relevant candidates, instantly.

Legacy systems force recruiters to think like a search engine. HireZapp's AI thinks like an expert recruiter, understanding context and intent to find the right talent, not just the right keyword.

HireZapp Insight