AIHR

OCTOBER 12, 2021

However, if you’re really looking to stand out and perform like your competitors, there are a few sourcing metrics you need to measure and optimize. In the current job market, complicated by the COVID-19 pandemic, recruiters and sourcers face the challenge of finding qualified candidates for many unfilled roles.

Metrics 98

Metrics Recruitment A/B Testing Benchmarking 98

AIHR

MARCH 29, 2022

Improving recruitment and talent acquisition 3. HR analytics involves collecting data and key metrics on your workforce and organization to gain valuable insights and better understand their effectiveness. Improving recruitment and talent acquisition. Contents What is HR analytics? HR analytics benefits 1. What is HR analytics?

Benefits 111

Benefits Recruitment Retention Compensation 111

AIHR

NOVEMBER 5, 2018

Using IBM’s Watson machine learning capabilities, the workforce analytics team build an algorithm that included sources like recruitment data, tenure, promotion history, performance, role, salary, location, job role, and more. According to the report , productivity has also improved while recruitment cost have fallen.

Staffing 102

Staffing Benchmarking Transportation A/B Testing 102

Get Lighthouse

DECEMBER 15, 2022

Whether it's leaning to much towards a bottom line revenue number despite the person being a tyrant people flee, or outsourcing recruiting and retention to HR, many leaders aren't focusing on what really matters most. Is it publishing your revenue metrics so the whole world can see it? But they didn't do it alone.

Manager 98

Manager A/B Testing Engineering Recruitment 98

Andrew Chen

NOVEMBER 1, 2021

Roadmap : Testing a series of more scalable growth channels, showing that if one network can be built, then multiple networks might be launched as well. Typically organic “pull” from the market combined with a scalable channel with reasonable metrics (CAC/LTV, or viral factor, or otherwise) going into in-app acquisition funnels.

Scaling 82

Scaling Marketing Recruitment B2B 82

Harvard Business Review

NOVEMBER 6, 2018

These data scientists design, define, and implement metrics, run and interpret experiments, create dashboards, draw causal inferences, and generate recommendations from modeling and measurement. So which kind of data scientist should you be recruiting? Modeling Scientist Who consumes the output? Decision scientist: Humans. Who to hire.

Engineering 15

Engineering Workflows User Experience Software 15