Record People Analytics with Reliable Tools & Techniques

Do you need to recalibrate your performance measures?

Two weeks ago, I contacted my mobile phone provider to get a warranty exchange on my phone. I’ve maintained a steady exercise routine for years, running 3.25 to 5 miles twice a week to clear my head and stay active. I’ve logged every workout on the Strava app, tracking my distance and heart rate on my Google Pixel. However, before contacting tech support, I noticed my phone wasn’t recording either metric accurately. The app reported erratic distances, often exaggerating my performance, and my heart rate measurements nearly doubled.

Initially, I blamed the app’s recent GPS update. However, after several test runs and a deeper review of my recorded routes, I realized the phone itself malfunctioned. The frequent “GPS lost” notifications and jagged lines on the map confirmed the issue. After replacing the phone, I recorded four workouts with precise, consistent results. This experience got me thinking about the importance of reliable tools and measures—not just in fitness but also in business.

The Role of Reliable Measurement in Business

Good business management relies on data analysis before, during, and after changes like new processes, employee onboarding, marketing campaigns, or mergers. To accurately assess the impact of these changes, companies need reliable systems to measure their key performance indicators (KPIs). This includes maintaining consistency in the instruments and methods used, ensuring measures provide good test-retest reliability, parallel forms reliability, and split-half reliability. These measures confirm that data can be trusted to reflect actual conditions, leading to better decision-making.

Reliability and Validity: Two Sides of the Same Coin

While reliable tools consistently measure performance, those tools must also contain validity. Validity ensures that the metrics gathered in HR—like employee engagement or performance reviews — measure what they claim to measure. Without validity, even the most reliable tools can lead to misguided decisions.

For example, an employee engagement survey might consistently yield the same results across different teams (showing reliability), but if it only asks superficial questions, it might not truly capture engagement levels (lacking validity). To make informed, effective decisions in HR management, the instruments used must have both validity and reliability.

Types of Reliability in HR Metrics

1. Test-Retest Reliability: This ensures that repeated measures of the same performance over time yield consistent results. For instance, if a company administers an employee engagement survey twice within a few months, the results should demonstrate stability if no major changes in the environment or job roles occur.
2. Inter-Rater Reliability: In performance reviews, multiple raters or managers often evaluate an employee. Inter-rater reliability ensures consistent evaluations, even when different people become involved in the rating process.
3. Internal Consistency: This refers to the reliability of a measurement tool, ensuring that different items intended to measure the same concept (like job satisfaction) produce consistent results.
4. Parallel Forms Reliability: Useful when an organization adminsters different versions of a test or assessment, this ensures both forms are consistent in measuring the same skills or traits.
5. Construct Validity: While not reliability per se, construct validity ensures that the measurement actually assesses what it intends to measure (e.g., a job satisfaction survey truly reflects employee satisfaction).

Why Many Companies Struggle with Reliable People Analytics

Many companies fail to apply the same level of rigor to managing people. Any HR strategy should stem from measuring employee engagement, job satisfaction, and performance, but many organizations need the systems or processes to do this reliably. In fact, performance evaluations often require better structure, infrequent implementation, and low sentiment among employees, reducing their effectiveness.

Some HR practices even border on HARKing—forming hypotheses after results are known—which skews results to fit a desired narrative rather than delivering objective insights.

Even critical KPIs like recruitment, retention, and employee turnover can become unreliable if companies don’t use robust tracking tools or invest in solid metrics. To avoid these pitfalls, organizations should leverage tools like HRIS systems to track key HR metrics or use people analytics platforms, which provide 360-degree performance reviews, engagement surveys, and job satisfaction measures.

Practical Application of People Analytics

Companies can start by identifying key HR metrics such as employee turnover, absenteeism rates, and engagement scores. By integrating reliable tools and techniques like sentiment analysis or predictive analytics, which leverage appropriately “trained” artificial intelligence, businesses can uncover patterns that help anticipate employee burnout or dissatisfaction before they impact overall performance. Tracking these metrics continuously helps establish baseline data and measure improvements over time.

Additionally, benchmarking people analytics against industry standards provides valuable context for interpreting the data. Regular reviews and adjustments of your measurement tools ensure they remain aligned with your business goals and external benchmarks.

How Technology and AI Enhance Reliability

With advancements in AI and machine learning, HR analytics tools are becoming more adept at providing reliable and bias-free measurements. These technologies can flag inconsistencies in data collection or predict employee turnover, helping businesses act proactively. AI also enhances predictive analytics, enabling organizations to forecast workforce trends and address potential HR challenges before they escalate.

Get Help Evaluating Your Workforce

Do your people analytics tools provide reliable insights? Perhaps you need to assess your current systems and recalibrate for more accuracy. Connect with us to discuss how you measure your HR activities to see if you’re on the right track toward optimizing talent and improving organizational performance.

References:

Bordens, K., & Abbott, B. B. (2017). Research Design and Methods: A Process Approach (10th ed.). McGraw-Hill Higher Education.

Cohen, R. J., Schneider, W. J., & Tobin, R. M. (2021). Psychological Testing and Assessment (10th ed.). McGraw-Hill Higher Education.

Hussey, I., & Hughes, S. (2021). Hidden invalidity among 15 commonly used measures in social and personality psychology. Advances in Methods and Practices in Psychological Science. SAGE Publications. https://journals.sagepub.com/doi/epub/10.1177/2515245919882903

Perceptyx: People Insights Platform

Verhulst, S. L., & DeCenzo, D. A. (2021). Fundamentals of Human Resource Management (14th ed.). Wiley.