Why Effectiveness Is the Hardest Pillar to Nail, and How the Right Data Fixes It

Last week, we discussed the three pillars of doing HR Right: Fairness, Efficiency, and Effectiveness. Effectiveness is the goal that everyone talks about, but few companies achieve. It is also the one that decides whether your talent strategy actually works. Effectiveness is rooted in having the right data. Without it, HR decisions rely on luck, instinct, or confidence, which can turn out to be misplaced.

If you are not basing your decisions on data, then you are not demonstrating mastery, you are getting lucky and luck does not scale. Behavioral science has a name for this: self‑serving bias. When we succeed, we credit our skills. When we fail, we blame the circumstances. In HR, relying on luck has too high costs. It produces mis‑hires, disengagement, turnover, and missed opportunities.

What does the right data look like? In our work with clients, we see three recurring needs: combining learning and development, succession planning, and retention. These goals are different, yet they are connected by a common thread: all three depend on a clear insight into what actually drives performance in your organization.

Let’s start with development. Before you can train people well, you need to understand which behaviors and skills lead to success in your organization. Personality scores or IQ tests are tempting shortcuts, but they do not correlate strongly enough with real‑world performance. What matters are competencies, the observable behaviors that drive output. However, competencies are extremely difficult to measure reliably with traditional methods. Research confirms that structured, behavior‑based assessments have the highest predictive validity¹.

That is why we built narrow AI models specifically designed to measure behavior. In fifteen minutes, with three targeted questions, you can understand a person’s competencies and map these to KPIs. Once you know which competencies matter most, you can focus on the areas of development, where it produces real performance gain. When employees see the link between their growth and their outcomes, engagement rises and development becomes meaningful.

The same data transforms hiring. When you understand what predicts success, you can select people who will thrive from day one. Succession planning becomes more credible. You can see which leaders engage their teams, who creates value, who launches successful initiatives, and who is most aligned with your strategy. Hiring the right managers is key, since manager behavior accounts for up to 70 percent of variance in team engagement².

Lastly, retention is key. We saw that predictive analytics can reduce turnover by as much as 25 percent³. Yet, data can also reveal uncomfortable truths, such as that the people you want most may be the ones leaving first. Once you understand your employees clearly, you can adapt reward paths and career trajectories to keep high‑value talent in your company. Considering that replacing an employee can cost up to two times their annual salary⁴, the financial case for collecting data is evident.

At the center of how to nail effectiveness is behavior. Skills, impact, growth, leadership, and alignment all show up in people's actions. If you can manage to measure behavior accurately, you are finally collecting the right data, with which you can make effective, efficient, and fair decisions.

HR done right is not a one‑time adjustment, rather a continuous cycle of understanding people, supporting them, and aligning them with the needs of the business. When you base your practices on data, everything else improves. Development becomes targeted. Succession becomes strategic. Hiring becomes predictive. Retention becomes intentional.

If you want to understand which skills actually drive performance in your organization, and how to build a workforce that is effective, efficient, and fair, start with data. PERA helps organizations to make decisions based on behavior, not intuition. HR done right starts with knowing what truly works. Evidence matters more than intuition.

This was the final blog in our HR done right series. Want to know more, or just can’t wait to get started? Give us a call!

References

1. Predictive Validity of Competencies -Schmidt & Hunter (1998)
   https://emilkirkegaard.dk
2. Manager Engagement Drives 70% of Team Engagement
   https://allwork.space, https://inclusiongeeks.com
3. Predictive Analytics Can Reduce Turnover by ~25%
   https://hrstacks.com
4. Cost of Replacement Up to 2× Salary
   https://lookuphr.com
5. Skills‑Based Hiring Trends -46% Planning Increase (2026)
   https://wgu.edu
6. Gartner: 88% of HR Leaders Say AI Has Not Delivered Business Value
   https://gartner.com