skip to Main Content

Improve Hiring with Machine Learning

Understand what makes your people successful, then apply a predictive model to maximize success

Predict candidate fit, employee performance, and leadership success, all with one solution

Increase precision and predictive power, even as your organization evolves and changes

Follow the OutMatch Talent Analytics team as they build and optimize the predictive models that organizations use to improve hiring.

Role Discovery

To provide you with highly predictive tools, we first need to understand what success
looks like inside your unique organization and roles. We work with you to:

Role Discovery 2

Understand the behaviors of top performers

We take a hands-on approach, which involves interviewing top performers, meeting with recruiters, trainers, and managers, and even stepping into the role through job shadowing.

Role Discovery 3

Understand the culture where top performers thrive

We’ve spent decades researching different industries and cultures, but we want to understand what it is about your culture that gives top performers an edge over others.

Role Discovery 4

Understand business strategy and organizational vision

We meet with key stakeholders to understand the unique challenges of your business, your strategic vision, and any changes that may impact your culture or roles in the future.

Data Collection

The next step is to collect all the data necessary for our team and our machine learning
technology to begin isolating the top predictors of success.

Data Collection 2

Assess candidates and incumbents

This provides rich behavioral data, which we use to understand the innate traits and tendencies of your talent pool, as well at your top and bottom performers.

Data Collection 3

Collect turnover and performance data

These are the key performance metrics we use to understand your ideal employee. This data also provides a baseline from which to track improvement.

Data Collection 4

Clean and review the data

This step is critical in turning raw data into good-quality, useable data. Our Talent Analytics team does this to ensure accuracy and precision in your predictive models.

Machine Learning Analysis

Next, we leverage machine learning technology, which makes the predictive
model-building process extremely powerful and efficient.

Machine Learning Analysis 2

Train the machine on your ideal employee

We start by training the machine to recognize features of an ideal employee, such as tenure and performance. As we feed in data, it identifies patterns that lead to these outcomes.

Machine Learning Analysis 3

Generate an algorithm

After the machine cycles through all possible patterns in the data set, it generates an algorithm that’s most likely to predict employee success in your organization.

Machine Learning Analysis 4

Test on a real-world sample

To make sure this algorithm works in the real world (and not just in the test sample), we feed the machine a new data set and have it run the analysis again.

Talent Expert Analysis

For decades, our team has studied employee and organizational success. This expertise,
combined with the speed and power of machine learning, ensures that we deliver the best possible results.

Talent Expert Analysis 2

Review the algorithms

A challenge of machine learning is that it’s not always clear what’s happening – that is, how the machine is interpreting data, or how it’s identifying patterns. Has it misidentified something, or made something in the algorithm more important than it should be? Our team digs in to find out.

Talent Expert Analysis 3

Monitor for bias and unintended outcomes

A machine can analyze data thousands of times faster than a human, but it might not account for things like diversity and inclusion. If a data set shows more men than women in leadership positions, for example, it’s possible your algorithm will favor men. Our team steps in to correct for this.

Ongoing Optimization

Because companies and labor markets are always changing, your predictive model
is never considered final or done. In fact, it will get more predictive over time.

Ongoing Optimization 2

Track improvement over time

Once you begin using your predictive model, our team monitors your results to ensure you’re seeing improvement in employee performance, engagement, turnover, diversity, and any other KPIs that are important in your organization.

Ongoing Optimization 3

Increase your predictive power

We collect additional data and recalibrate your predictive models a regular basis. This provides a competitive edge by ensuring you continue to make the best possible decisions about your people, your culture, and the success of your business.

Schedule a Demo

See how you can start using predictive analytics to power your decision making and build a top-performing workforce.

Back To Top