• Post category:SB-Exclusive
  • Reading time:5 mins read




Twelve roles closed, 41 days on average, and nobody knows where it breaks? Recruiting metrics, sources, time to hire

What You Will Learn:

  • Turn hiring into a measurable system: take 390+ templates, question lists, procedures, checklists and AI prompts in 47 downloadable resources
  • Find the stage of your recruitment funnel where candidates actually disappear, with the Hiring Funnel Scorecard
  • Calculate the full cost of filling a vacancy, not just the job board fee
  • Rank recruitment sources by the quality of the people who pass probation
  • Build a candidate journey map and measure candidate experience at every stage
  • Run a regression in a spreadsheet and design an experiment with a control group to find the real driver of a drop-off
  • Show more

Learning Tracks: English

Add-On Information:

Overview

In recruiting, “data-driven decisions” often translates to gut feelings and superficial ATS reports. This ‘Recruiting Analytics’ course isn’t just theory; it’s a true game-changer, elevating your talent acquisition from reactive to strategically optimized.

What truly sets it apart is its commitment to immediate application. The promise of turning hiring into a “measurable system” is delivered through 390+ practical resources: templates, checklists, procedures, and AI prompts. These arm you with job-ready skills you can implement today – tools to diagnose candidate drop-offs, calculate the *real* cost of hire, and scientifically evaluate recruitment sources based on post-hire performance.

From identifying where candidates ghost you, to mapping candidate experience, and even simplified regression analysis, this course transforms you into a recruiting scientist. It’s about leveraging data to *optimize*, tackling real-world projects and impacting your organization’s bottom line. For measurable recruitment ROI, this course offers a direct route.

Prerequisites

You don’t need a data science degree, but a foundational understanding of the recruitment lifecycle is definitely beneficial. If you’ve worked in HR or talent acquisition, you’ll contextualize the metrics and analyses faster.


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A comfort level with spreadsheets – think Excel or Google Sheets – is crucial. While the course guides you through regression, familiarity with formulas and basic data manipulation will make analytical sections less daunting. This course helps you go from beginner to advanced in applying analytics; a willingness to engage with numbers is key.

Skills & Tools

Prepare to load up your toolkit with practical, impactful capabilities:

  • Recruitment Funnel Optimization: Learn to map, analyze, and optimize your hiring pipeline.
  • Cost Analysis & ROI: Master true cost per hire calculation and demonstrate tangible ROI for recruiting efforts.
  • Source Quality Evaluation: Develop methodologies to rank recruitment sources based on candidate quality and retention.
  • Candidate Experience Design: Build comprehensive candidate journey maps and measure experience at critical touchpoints.
  • Basic Statistical Experimentation: Gain confidence running simple regressions and designing A/B tests to identify causal factors in recruitment performance.
  • Data-Driven Decision Making: Translate complex data into actionable insights for strategic talent acquisition.

You’ll become intimately familiar with spreadsheets (Excel/Google Sheets) as your primary analytical engine. The 390+ provided templates, scorecards, and checklists serve as industry-standard tools, offering a pre-built analytics framework. Plus, you’ll harness AI through specific prompts, adding a cutting-edge dimension to your analytics workflow.

Career Benefits & Job Roles

This isn’t just about learning new tricks; it’s a genuine accelerator for your career growth. Mastering these concepts transforms you from a recruiter who *reports* on recruitment to one who *strategizes and optimizes* it. You’ll be able to speak the language of business, demonstrating clear ROI and making a measurable impact on your organization’s talent acquisition effectiveness.

This course is invaluable for:

  • Talent Acquisition Specialists/Managers: Elevate your role from operational to strategic.
  • HR Business Partners: Gain deeper insight into talent pipelines to better advise business leaders.
  • Recruiters (all levels): Move beyond transactional recruiting to analytical problem-solving.
  • People Analytics Professionals: Enhance your recruitment-specific analytical skills.
  • Hiring Managers: Understand the data points that truly drive successful hires and optimize your involvement.

The ability to conduct funnel analysis, calculate true cost per hire, and scientifically evaluate source quality are highly valued competencies that will set you apart in a competitive job market.

Pros

  • Hyper-Practical & Resource-Rich: The sheer volume of 390+ downloadable templates, checklists, and AI prompts means you’re not just learning theory; you’re equipped with hands-on labs and a full operational playbook that can be applied immediately to your work.
  • Demystifies Complex Analytics: It takes potentially intimidating concepts like regression analysis and experimental design and makes them accessible by showing you how to apply them effectively using familiar spreadsheet tools. No advanced coding required, just smart application.
  • Focus on Measurable ROI: The course directly tackles critical business questions – where are candidates dropping off, what’s the true cost, which sources are actually *good* – enabling you to demonstrate clear, quantifiable value for your recruiting efforts, linking directly to business outcomes.
  • Modern & Comprehensive Approach: Covering everything from basic funnel analysis to candidate experience mapping and even integrating AI prompts, the curriculum provides a holistic, up-to-date view of recruiting analytics that addresses multiple facets of the hiring process.

Cons

  • Reliance on Spreadsheet Skills: While the course simplifies complex analytics, its heavy reliance on spreadsheets for regression and experimentation means that if you’re truly uncomfortable with Excel or Google Sheets, there might be a steeper learning curve. Those preferring dedicated analytics platforms or automated tools for such analyses might find the manual data handling within those programs a bit less ideal.
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