Thomas Forstner is the Head of People & Talent at Juro – a contract management platform on a mission to help the world agree more – where he is building a human-centric, scalable People & Talent function from the ground up.

There are ton of metrics you could measure as a People and Talent lead at a fast-growth company. But tracking them all simply isn’t valuable. Instead, you should be economical and focus on a few metrics that can tell you the most about your function, keeping the rest in the background until you need to delve a bit deeper.

So which metrics do you choose to focus on, and which do you put on the backburner?

It’s a hard choice, there’s no doubt about that. However, some employee metrics are more valuable than others in terms of what they tell you and how important that insight is to your broader business strategy.

Ultimately, you want to grow your team consistently with the best talent, facilitate their development and ensure they’re fulfilled and engaged in their role at your company.

This Process Street post will explore the ten best metrics to track in 2022, including:

• Top metrics for employee retention & acquisition
• Performance metrics: Essential data for employee development
• Employee metrics to improve wellbeing & satisfaction

It’s time to track the data that matters!
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I play video games at work.

It’s the remote manager’s nightmare: A wayward employee who does whatever they want because they lack the strict supervision of the office to keep them in line. Critics of remote work would seize on this very scenario as proof that remote workers are merely lazy and entitled.

Should employees’ web activity be tracked to make sure they’re putting in a solid eight hours of work time?

For those remote workers who don’t have designated space or equipment that is “work use only,” why should they agree to be surveilled in their homes and on their personal devices?

How do you guarantee that both your clients and your employees can feel secure that what is meant to be private will not be made public?

Most importantly, if the deliverables are delivered when they should be, does it matter how they got there?

In this Process Street post, I’m going to (attempt) to provide answers to some of those questions, discuss the issues employers need to consider before monitoring employees, and look at some “soft surveillance” alternatives to hard data collection.

• The case for workplace monitoring
• In defense of employee autonomy
• Creating a sustainable balance between monitoring & autonomy

Read on!
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Big Data freaks me out.

Chalk it up to being spoonfed George Orwell at an early age or adolescent heroes like Fox Mulder and Neo. Maybe it’s being one of those darn, pesky Millennials always rousing rabble while perpetually straddling the conflicting worlds of analog vs digital.

Regardless: I do not trust institutions, especially institutions that want my information.

On the other hand, I use Google for everything, Alexa lives in every room of my house, and I get really annoyed when Netflix doesn’t remember that I watched something. 10 years ago. On DVD.

We will live within this dichotomy of acceptable spying and unacceptable spying. “Cyberstalking” acquaintances, colleagues, and future partners is considered the norm, as a consumer, it’s fantastic. Who doesn’t love being shown that exact thing you don’t really need the minute you pop ‘round to your friendly internet megastore?

All of those things depend on Big Data. As data collection methods improve, more and more applications for that data are coming into play. In addition to customer profiles, education, healthcare, and finance are all jumping on the Big Data bandwagon.

While traditionally more art than science, HR departments have also become recent converts to the sway of data collection. Applying hard data to soft skills may feel wrong, but people analytics has a vital role to play in measuring the employee experience.

But with additional metrics, new sources, and faster methods of collection popping up every day, what will the future of people analytics look like? More importantly, what role will Big Data play in that evolution?

In this Process Street post, I’m going to look at exactly what Big Data is and the three primary ways it will affect the hows, whys, and whats of people analytics going forward.

• What exactly is “Big Data”?
• The 4 V’s of Big Data
• The future of Big Data and people analytics

To the future!
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“I really must go to the third floor,” Renfield insists over the other employees’ protests. “I’ve been asked to consult with the head of people management about creating an analytics team. They’re expecting me.”

One of the nearby workers grabs Renfield’s lapels and pulls him close. “You don’t understand,” the man says. “We here in the office believe that people management is…” He glances around, nervously, leans closer and whispers, “We believe they’re really… human resources!”

“Oh, that’s just assistants’ gossips,” Renfield says. “Now, really, you must let me through. I have an appointment.”

“Wait!” The office manager pushes through the crowd, waving a form above her head. “If you won’t listen, then take this W-2. It’ll protect you.” She thrusts the form into Renfield’s hand and adds, “It’s riddled with mistakes.”

The third floor is dimly lit, offices still only partially constructed, furniture still draped in plastic. No signs indicate where he should go and a sense of abandonment clings to the scent of still-wet paint. “Hello?” he calls.

A figure appears, the light flickering around them. “I bid you welcome,” they say, and Renfield notices the tappity-tap-tap of many fingers rushing over keyboards. “Listen to them, the collectors of data. What music they make! Come along,” the People Team leader instructs, gliding down the hallway toward a single shaft of light Renfield can swear wasn’t there a moment ago. “Data is the life, Mr. Renfield.”

Wait. Why are you talking about vampires again, Leks?

There is a reason, and I assure you it’s not merely a way to shamelessly shoehorn my side interests into work-related topics. (Mostly.)

For contemporary businesses, data really is the lifeblood of your company. It’s what keeps everything moving from making sure there are paper clips in the supply cabinet to getting your product into the hands of the right user. Without accurate, up-to-date data, your organization isn’t even in the running to be a successful company.

While gathering quality consumer data is essential for the contemporary organization, data analytics has another equally important role to play: people management.

There are four main categories you need to think about for an effective analytics framework: Enablers, Deliverables, Stakeholder Management, and Governance.

In this Process Street post, I’ll explain what they are, how to use them, and how to not be creepy about it. Before you know it, you’ll wonder how you ever made HR decisions before people analytics came along.

• Will you be an HR hero or an HR hooligan?
• Is it time for you to form a people analytics team?
• Isson & Harriot’s 7 Pillars of People Analytics Success
• The 4 ingredient categories of the People Analytics Effectiveness Wheel
• Power tools for your people analytics team
• A word of caution on people analytics procedures

Let’s analyze some data!
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