• Post category:SB-Exclusive
  • Reading time:6 mins read




recruiting metrics | time to hire | cost per hire | recruitment funnel | candidate experience | talent acquisition KPIs

What You Will Learn:

  • Find the stage of your funnel where half the candidates actually disappear
  • Calculate the true cost of filling a vacancy, not just the job board fee
  • Rank sources by the quality of the people who survive probation
  • Build a candidate journey map and attach a metric to every stage
  • Measure candidate experience with CSAT, NPS and time to response
  • Run a regression in a spreadsheet to find the real driver of a drop-off
  • Design an experiment with a control group instead of arguing from opinion
  • Forecast time to fill with a trend line rather than an average
  • Kill the metrics that cost more to collect than they return
  • Learn alongside Mike’s 1.6 million students from 185 countries

Learning Tracks: English

Add-On Information:






Recruiting Analytics Course Review


Recruiting Analytics: Funnel, Cost per Hire, Sources [EN] Course Review

Recruiting metrics | time to hire | cost per hire | recruitment funnel | candidate experience | talent acquisition KPIs

Overview

In today’s competitive talent market, “gut feeling” simply doesn’t cut it anymore. As someone who’s spent years navigating the complexities of tech recruitment and seeing the direct impact of hiring decisions, I can tell you that a data-driven approach isn’t just a nice-to-have; it’s a strategic imperative. This ‘Recruiting Analytics’ course isn’t about memorizing definitions; it’s about fundamentally shifting how you view and manage your talent acquisition process. It forces you to ask the uncomfortable questions: Where are we really losing candidates? What’s the actual ROI of our sourcing channels? Is our candidate experience a differentiator or a bottleneck?


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What truly sets this course apart is its relentless focus on actionable insights and measurable outcomes. It moves beyond vanity metrics to equip you with the tools to identify genuine inefficiencies, optimize spend, and truly understand the health of your recruitment pipeline. You’ll learn to dissect your recruitment funnel, not just to admire its shape, but to pinpoint exact drop-off points with **data-driven insights**. The course emphasizes that every metric should serve a purpose – either informing a decision or driving an improvement. If you’re tired of debating recruitment strategies based on anecdotal evidence, this course provides the analytical framework to back up your arguments with hard numbers, elevating you from a transactional recruiter to a strategic business partner.

Prerequisites

You don’t need to be a data scientist or a statistician to tackle this course, but a foundational comfort with spreadsheets (think Excel or Google Sheets) is essential. If you can handle basic formulas and aren’t intimidated by rows and columns of data, you’re in a good starting place. It’s truly designed to take individuals from a **beginner to advanced** understanding of applying analytics in talent acquisition. While prior HR or recruiting experience certainly helps provide context, even those new to the field will gain immense value by learning the right way to think about metrics from the get-go. No fancy software knowledge is required; the beauty here is in leveraging widely available **industry-standard tools** to unlock powerful insights.

Skills & Tools

By the end of this course, you’ll wield a powerful arsenal of **job-ready skills**. You’ll master the art of defining and tracking crucial **talent acquisition KPIs** like **Cost per Hire**, **Time to Hire**, and candidate conversion rates across your **recruitment funnel**. You’ll learn to build effective candidate journey maps, attaching meaningful metrics to every stage to truly understand **candidate experience** using methodologies like CSAT and NPS. Crucially, the course teaches you to perform simple regression analysis in a spreadsheet to identify true drivers of success or failure, and how to design basic experiments with control groups – a skill invaluable for moving beyond assumptions. The primary tool is, refreshingly, the ubiquitous spreadsheet, making these analytical methods incredibly accessible and immediately applicable in almost any professional setting. This isn’t just theory; it’s about practical application that feels like tackling **real-world projects** with immediate impact.

Career Benefits & Job Roles

This course is a game-changer for anyone looking to supercharge their **career growth** in the talent acquisition or HR space. It transforms you from someone who *reacts* to hiring needs into someone who *strategically influences* hiring outcomes. Roles that will benefit immensely include: **Recruitment Specialists**, **Talent Acquisition Managers**, **HR Business Partners**, **People Analytics Analysts**, and even founders or hiring managers who want to understand the true cost and effectiveness of their recruitment efforts. The analytical mindset and practical skills gained here make you a more credible, impactful, and invaluable asset to any organization. Being able to quantify your impact, forecast future needs, and identify bottlenecks based on data rather than anecdotes positions you perfectly for leadership roles and enables you to drive genuine business value, not just fill seats. It equips you with the type of quantitative literacy that’s increasingly demanded in modern HR and tech roles.

Pros

  • Actionable & Practical Focus: This isn’t academic fluff. Every module is geared towards giving you techniques you can apply immediately. Learning how to “kill the metrics that cost more to collect than they return” is a prime example of its pragmatic approach.
  • Business-Oriented & ROI-Driven: The course consistently ties recruitment activities back to business outcomes and financial impact, teaching you to calculate the true **cost per hire** and optimize spending. It truly frames recruiting as a strategic lever, not just an operational cost.
  • Accessible & Spreadsheet-Based: By leveraging common spreadsheet software, the analytical concepts become approachable for everyone. This democratizes powerful data analysis, making it a powerful tool without requiring expensive software or specialized coding knowledge.
  • Expert Instructor & Proven Track Record: Learning from an instructor like Mike, with his 1.6 million students from 185 countries, speaks volumes about the quality and effectiveness of the teaching methodology. This global reach and student satisfaction underscore a well-honed pedagogical approach.

Cons

  • Limited Advanced Tooling: While the spreadsheet-based approach is a major pro for accessibility, those already proficient with more advanced statistical software (like R or Python) for complex data manipulation and machine learning might find the tooling aspect somewhat basic. It excels at practical application for most TA professionals but doesn’t delve into the programming side of data science.


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