People analytics is the method of using data to understand and improve every part of how people work – from who you hire to how you keep your best talent engaged.
By moving away from gut feel and towards evidence-based insights, you can make smarter decisions that actually move the needle for your organisation’s culture and performance. If you have ever wondered why certain teams thrive while others struggle, or why your best people are leaving, people analytics provides the roadmap to find those answers.
Key takeaways
- People analytics transforms raw HR data into actionable insights that improve business outcomes and employee experience.
- It moves decision-making from subjective intuition to objective, evidence-based strategy across the entire employee lifecycle.
- Effective analytics requires a balance of quantitative data and qualitative understanding of human behaviour and work personality.
- Starting small with specific problems – like reducing turnover or improving hire quality – is more effective than attempting to measure everything at once.
For a long time, HR was seen as the 'gut feel' department where decisions about people were based on experience and intuition. While experience is invaluable, it is often limited by unconscious bias and incomplete information. People analytics changes this by applying the same rigour to your workforce that you already apply to your finances or marketing efforts.
When we talk about what is people analytics, we are essentially talking about the 'why' behind the 'what'. It is not just about counting how many people left your company last month; it is about identifying the patterns that predicted those departures. It is about understanding the intersection of skills, behaviour, and environment to create a high-performing culture.
At Compono, we believe that people are the most important part of any business, but they are also the most complex. Using a Workforce Intelligence Platform allows you to simplify that complexity. By centralising your data, you can start to see the forest for the trees and make decisions that support both your people and your bottom line.
To truly understand what is people analytics, it helps to look at it as a journey of maturity. Most organisations start at the descriptive level – simply reporting on what has happened in the past. This might include metrics like headcount, turnover rates, or diversity statistics. While useful for compliance, it doesn't tell you how to improve.
The next level is diagnostic analytics, which looks for the cause of those trends. If turnover is high in one specific department, diagnostic tools help you see if it is related to leadership styles, lack of development opportunities, or a poor cultural fit during the hiring process. This is where you begin to see real value in your data.
The more advanced stages include predictive and prescriptive analytics. Predictive analytics uses historical data to forecast future outcomes – such as identifying which employees are at high risk of burnout before they resign. Prescriptive analytics goes a step further by suggesting specific actions you should take to achieve a desired result, such as recommending a specific training programme for a future leader.
Data is only as good as the context you give it. You can have the most sophisticated dashboard in the world, but if you aren't measuring the right things, the insights will be hollow. One of the most overlooked data points in people analytics is work personality. Understanding how individuals naturally prefer to work is the 'secret sauce' that makes analytics human-centric.
For example, if your data shows that a high-performing team is suddenly losing productivity, the numbers alone might suggest a need for more resources. However, when you layer in work personality data, you might discover a 'Pioneer' and an 'Auditor' are clashing over process versus innovation. The solution isn't more staff – it is better alignment and communication based on their natural tendencies.
By integrating these psychological insights into your analytics framework, you move beyond 'what' people are doing and into 'how' they can do it better. This creates a more empathetic approach to management that respects individual differences while driving collective results.
The ultimate goal of people analytics is to build a culture where people can do their best work. This involves looking at the 'Compono Culture, Engagement & Performance Model', which highlights the link between how people feel and how they perform. Engagement isn't just a 'nice to have' – it is a leading indicator of business success.
When you use analytics to track engagement, you can see exactly where your culture is strong and where it needs support. Perhaps your 'Campaigners' are feeling stifled by too much red tape, or your 'Helpers' feel their contributions aren't being recognised. Analytics allows you to spot these trends early and intervene.
Our research at Compono shows that teams that actively use data to understand their internal dynamics are more resilient and adaptable. They don't just react to problems; they anticipate them. This proactive stance is what separates modern, data-driven HR teams from those still stuck in administrative loops.
One of the most practical applications of people analytics is in recruitment. Every bad hire is a significant cost to the business, both in terms of money and team morale. By analysing the traits and behaviours of your current top performers, you can create a 'success profile' for future candidates.
This isn't about cloning your existing team, but about identifying the core attributes that allow someone to thrive in your specific environment. Using Compono Hire, you can assess candidates across organisation fit, skills, and qualifications. This ensures that the data you collect during the hiring process is predictive of long-term success, rather than just a reflection of a good interview.
When you track the 'quality of hire' over time, you can refine your sourcing strategies and assessment methods. You might find that candidates from a certain background or with specific work personality types – like 'The Evaluator' or 'The Coordinator' – tend to stay longer and perform better in certain roles. This is people analytics in its most tangible, value-adding form.
Key insights
- People analytics is most effective when it combines traditional HR metrics with psychological insights like work personality.
- The goal is to move from descriptive reporting to predictive and prescriptive strategies that anticipate workforce needs.
- Using data to define 'quality of hire' significantly reduces turnover and improves long-term team performance.
- A data-driven approach allows HR leaders to prove the ROI of people initiatives to the broader business.
Starting your journey with people analytics doesn't require a team of data scientists. It starts with asking the right questions and having the right tools to capture the answers. Whether you want to improve your hiring process or boost team engagement, the data is already there – you just need to unlock it.
HR reporting focuses on 'what happened' by providing static data like headcount or total turnover. People analytics focuses on 'why it happened' and 'what will happen next' by using that data to find patterns, correlations, and future trends that inform business strategy.
No, you don't need a massive team. Many mid-sized organisations start by using platforms like Compono that automate the data collection and analysis process. The key is to start with a specific business problem you want to solve rather than trying to analyse everything at once.
It helps you identify the specific drivers of engagement within your unique workforce. Instead of using generic 'best practices', you can see exactly what makes your specific employees feel motivated – whether that is career development, work-life balance, or better alignment with their work personality.
Definitely not. Mid-market companies (60–1,000 staff) often see the fastest ROI from people analytics because they are at a stage where 'managing by walking around' is no longer sufficient, but they are still agile enough to implement changes quickly based on data insights.
Privacy is paramount. Effective people analytics focuses on trends and aggregate data rather than monitoring individuals. It is essential to use secure platforms that comply with local data protection laws and to be transparent with your team about how data is being used to improve their work experience.