Performance Analytics: Tools for Evaluating Employees in Singapore

As teams, roles, and performance expectations become more complex, relying on scattered review forms and manager observations can make it harder to see what is actually driving employee performance.

This shift creates a new challenge for performance management: when employees use different tools and ways of working to achieve their goals, measuring activity alone may no longer provide a complete picture of contribution. 

Employee performance analytics can help connect goals, KPIs, reviews, feedback, skills, and development data so organisations can identify patterns rather than relying on isolated performance scores.

The approach is particularly useful when performance expectations are changing alongside technology, skills requirements, and workforce development priorities.

This article explains what employee performance analytics is, which data and metrics to track, and how to use performance insights to support more consistent performance management in Singapore.

What Is Employee Performance Analytics?

Employee performance analytics is the process of collecting, analysing, and interpreting performance data to identify trends, spot gaps, and support better workforce decisions. Rather than relying on a single score, it draws on multiple sources of information.

This typically combines goals and KPIs, performance review results, manager and peer feedback, competencies, skills, and training records. Looking at these together, rather than in isolation, gives a fuller picture of how someone is actually performing over time.

For teams still relying on scattered spreadsheets and paper-based review forms, this can feel like a significant shift. In practice, it often starts small, with a handful of review cycles and goal-tracking records pulled into one place before expanding to feedback and skills data.

Why Employee Performance Analytics Matters in Singapore?

The way organisations evaluate performance is changing as workforce skills, technology, and human capital practices evolve.

Several developments in Singapore highlight why organisations may need more structured ways to understand performance data.

Supports a More Skills-Based Approach to Performance

Singapore’s workforce is increasingly moving toward skills-based practices. 

These findings make it increasingly important to understand not only whether performance meets expectations, but also whether employees have the capabilities required to achieve them. Performance analytics can help identify patterns in performance, skills gaps, and development needs.

Helps Businesses Adapt to AI-Enabled Work

AI is changing how work is performed and how employee performance may need to be measured.

As AI-enabled tools become part of everyday work, activity-based measures such as hours worked or the volume of tasks completed may provide less insight into an employee’s actual contribution.

Performance analytics can instead help organisations focus on outcomes, quality, goal achievement, and the capabilities needed to work effectively with changing technology.

This means performance measurement can gradually shift from asking how much work was completed to understanding what outcomes were achieved and what capabilities contributed to those results.

Enables More Data-Driven Human Capital Decisions

Singapore is also placing greater emphasis on using data to understand human capital outcomes. 

The Singapore Opportunity Index (SOI) uses verified government data from almost 1,500 organisations and close to one million residents to measure workforce outcomes including progression, pay, hiring, retention, and gender parity.

MOM describes the index as a way to help employers make better-informed, data-driven decisions about workforce strategy and human capital practices.

In September 2026, the Tripartite Workgroup on Human Capital Capability Development also released five recommendations to strengthen human capital capabilities across Singapore. The workgroup aims to support at least 2,000 enterprises and build the capabilities of 20,000 HR professionals and people leaders by 2030.

Performance analytics fits into this broader shift by helping organisations use workforce data to identify trends, guide development, and make more informed decisions rather than relying only on periodic performance reviews.

Read also: How to Manage Employee Performance in Singapore: A Complete Guide

What Data Should You Include in Employee Performance Analytics?

Employee performance analytics can bring together different types of data to provide a more complete view of performance. Rather than relying on a single rating or KPI, organisations can analyse:

• Goal and KPI data: Goal completion, target achievement, milestone progress, and role-specific business KPIs can show whether employees are delivering against agreed expectations.
• Performance review data: Review ratings, competency assessments, manager evaluations, and historical results can reveal changes in performance across review cycles.
• Feedback data: Manager, peer, 360-degree, and development feedback can provide context behind performance results and highlight recurring strengths or areas for improvement.
• Skills and development data: Skills assessments, training completion, learning progress, development goals, and competency gaps can connect performance outcomes with capability development.
• Performance trends: Comparing data over time can show whether an employee is improving, maintaining performance, or experiencing recurring challenges.

The goal is to combine these data points rather than assess employees based on one metric alone. This gives managers a more contextual view of performance and helps identify appropriate follow-up actions.

Key Employee Performance Metrics to Track

Employee performance analytics is most useful when organisations track metrics that provide meaningful insights into performance.

The right metrics will vary by role, but businesses can combine goal achievement, performance trends, skills, development, and employee readiness.

No single metric should determine someone’s overall performance. A more useful approach combines quantitative indicators, such as goal achievement and KPI attainment, with qualitative context, such as feedback and competency assessments.

It also helps to review which of these metrics are already being tracked somewhere, even informally, before introducing new ones. Building on existing records tends to get more buy-in than starting an entirely new measurement system from scratch.

How to Use Employee Performance Analytics Effectively

Collecting performance data is only the starting point. To turn analytics into useful insights, organisations need a structured approach that connects performance data with clear expectations, employee context, and appropriate follow-up actions.

The following practices can help ensure performance analytics supports better decisions rather than becoming another reporting exercise.

1. Start With Clear Performance Goals

Analytics is only useful when the underlying performance expectations are clear. Employees should understand what they are expected to achieve, how success will be measured, and when progress will be reviewed.

For example, “improve customer service” is difficult to measure consistently. A more specific goal could be to increase the customer satisfaction score from an agreed baseline to a defined target within the review period.

Clear goals also make performance data easier to interpret because results can be assessed against expectations established at the beginning of the cycle.

2. Combine Quantitative and Qualitative Data

Numerical scores rarely tell the whole story on their own. Combining KPI results with manager assessments, feedback, and skills or development data gives a fuller, fairer picture.

This also reduces the risk of over-relying on any single number to judge someone’s contribution. A high KPI score paired with recurring feedback about missed deadlines, for example, tells a more complete story than either data point alone.

3. Analyse Trends, Not Only Individual Scores

A single performance rating may not show how an employee’s performance is changing. Analysing results across multiple review periods can reveal whether performance is improving, declining, or remaining consistent.

For example, an employee whose ratings move from 3.1 to 3.4, 3.8, and 4.0 shows a different performance pattern from an employee whose latest rating is 4.0 but has declined consistently from previous cycles.

4. Identify Performance and Skills Gaps

When underperformance appears, the next step is understanding the cause before assuming it reflects capability. Poor performance does not automatically mean poor skill.

Possible causes can include unclear expectations, insufficient resources, workload, recent role changes, limited manager support, or an actual skills gap. Analytics helps narrow down which of these is most likely at play.

Cross-referencing goal data with feedback and training history often reveals which explanation fits best. A gap that shows up consistently across similar tasks, for instance, points more toward a skills issue than a one-off circumstance.

5. Turn Insights Into Action

Analytics should always lead somewhere. Common next steps include coaching, targeted training, adjusting goals, redesigning parts of a role, offering additional support, or building a development plan.

When a persistent performance gap requires a more structured approach, organisations may also use a Performance Improvement Plan (PIP) to define specific expectations, support measures, timelines, and progress indicators.

The outcome should be a clearer understanding of what needs to change and how progress will be measured. This makes performance analytics part of an ongoing performance management process rather than a dashboard reviewed only during annual appraisals.

Read also: How to Handle Employee Performance Issues Fairly in Singapore

Using Performance Analytics to Support Fair Performance Reviews

Performance analytics can help make reviews more consistent, evidence-based, and transparent.

Singapore’s Tripartite Guidelines on Fair Employment Practices call for formal appraisal systems that are fair and objective, with measurable standards for evaluating performance.

Use Consistent Performance Criteria

Define clear goals, KPIs, and competencies for employees in comparable roles. Performance analytics can help identify inconsistencies in how employees are assessed across teams or review cycles.

The focus should be on whether employees are assessed against relevant and clearly communicated expectations rather than simply comparing one employee’s score with another’s.

Compare Performance Against Role Expectations

Performance data should show whether an employee is meeting the expectations established for their role rather than relying on an arbitrary benchmark.

This is particularly relevant when poor performance is cited as a reason for dismissal. MOM’s Tripartite Guidelines on Wrongful Dismissal state that employers need to substantiate poor performance when it is cited as the reason for dismissal.

The guidelines illustrate this with a case where documented shortcomings in performance reviews provided evidence of poor performance.

Analyse Performance Across the Review Period

Avoid drawing conclusions from a single missed target or performance rating. Analyse performance trends across multiple review periods, goals, and relevant indicators.

This can help distinguish a temporary setback from a recurring performance issue while providing a more complete record of how performance has changed over time.

Give Employees an Opportunity to Discuss Performance

Analytics should support rather than replace performance conversations. An employee may provide context that is not visible in performance data, such as changes in responsibilities, resource constraints, unclear expectations, or other factors affecting results.

Managers should therefore use performance insights as a starting point for discussion rather than an automatic basis for conclusions. This keeps human judgment and employee input as important parts of the review process.

Avoid Using One Metric as the Sole Basis for Decisions

A single KPI, rating, or productivity figure rarely provides enough context to judge someone’s overall contribution. This becomes especially important when performance information may eventually feed into more significant decisions.

Combining goal achievement, KPI results, feedback, and trends across time, ideally supported by a performance management system like Mekari Talenta that keeps this data connected rather than scattered, gives a more balanced and defensible view of performance.

Turn Employee Performance Data Into Actionable Insights with Mekari Talenta

Managing performance data across goals, reviews, feedback, and employee records can make it harder to identify meaningful patterns. Mekari Talenta brings performance management into one integrated talent development system, helping organisations align goals, run structured appraisals, and track employee development.

With Mekari Talenta AI, employee and performance review data can also be analysed to generate actionable insights.

Powered by Mekari Airene, its AI capabilities can summarise performance review results, highlight employee strengths and development areas, and reduce the time needed to turn performance data into useful insights.

Build a more structured and data-driven approach to employee performance with Mekari Talenta. Book a demo to see how it can support your performance management process.

References

1. Ministry of Manpower. (2026, March 20). Job vacancies report 2025.
2. Ministry of Manpower. (2026, April 14). Overqualification in Singapore.
3. Ministry of Manpower. (2026, April 30). Inaugural release of report on adoption of artificial intelligence among firms.
4. Ministry of Manpower. (2025, October 14). Singapore unveils data-driven human capital index to enhance workforce mobility and competitiveness.
5. Ministry of Manpower. (2026, September 24). Recommendations by Tripartite Workgroup on Human Capital Capability Development.
6. Ministry of Manpower. (2024). Tripartite Guidelines on Wrongful Dismissal.
7. Ministry of Manpower. (n.d.). Fair employment practices.
8. Ministry of Manpower. (n.d.). Tripartite guidelines and advisories.
9. PwC Singapore. (2025). PwC’s Global Workforce Hopes and Fears Survey 2025: Singapore edition.