Sommaire

    For most HR departments, the challenge is no longer producing data. They often have it in abundance. The real challenge is deciding which data deserves to reach the Executive Committee, and in what format.

    A well-designed HR dashboard addresses this exact issue. It is no longer a reporting exercise updated every quarter: it becomes a decision-support tool that helps you influence budget decisions, protect your organisation in an increasingly demanding regulatory environment, and make the case for your choices using figures that senior management can understand.

    Why is your HR dashboard not yet engaging senior management?

    The economic environment has changed what organisations expect from the HR function. Inflation, geopolitical uncertainty and pressure on margins mean that every business function is now assessed in terms of its return on investment. HR is no exception.

    When making decisions, executives now ask a number of questions—and none of them begins with “how many employees do we have who…”. These questions fall into three broad categories:

    • Risk: Are we exposed because of a scarce skill? Do we rely on one or more employees for a critical technology? Are we facing chronic absence at a particular site or a potential employment dispute?
    • Investment: Should we hire externally, despite the cost and uncertainty involved, or develop skills internally, which is more secure but takes longer?
    • Trade-offs: Do we need to reduce payroll costs or invest in retaining key talent? Either way, we need to be able to quantify both options.

    If your HR dashboard answers all three questions with “turnover: 12%”, it serves no purpose beyond providing a retrospective snapshot. An overall turnover rate tells only part of the story, never the whole picture. Break it down by critical role and combine it with replacement costs and time to hire, and it becomes an almost financial metric—one that senior management can use to make informed decisions.

    Which regulatory requirements already shape your HR dashboard?

    Three pieces of legislation now directly affect how you build, document and ensure the reliability of your HR metrics.

    CSRD: your social data becomes auditable

    The Corporate Sustainability Reporting Directive (CSRD) requires organisations within its scope to publish a sustainability report covering, among other areas, social data such as headcount, training and gender equality. This data must be disclosed in accordance with the European Sustainability Reporting Standards (ESRS) and verified by a statutory auditor or an independent assurance provider.

    The impact on your HR dashboard is direct: the same metrics used for internal management must also withstand external audit. This requires data that is centralised, traceable and calculated consistently from one month to the next—not recalculated differently every time it is extracted.

    The EU AI Act: greater scrutiny of AI-generated metrics

    This European regulation classifies many uses of artificial intelligence in HR, including recruitment and assessment, as high-risk. This classification applies specifically to metrics and decisions generated using AI tools, not to your entire dashboard. As soon as an HR KPI is calculated, scored or recommended by an AI system (for example, an automatically generated flight-risk score) you must be able to demonstrate the traceability of the data used to train the system, document how the metric was produced, and ensure human oversight before any resulting decision is made.

    Pay transparency: what does it mean for your HR dashboard?

    The new rules are expected to replace the French Gender Equality Index with seven new pay indicators, including a 5% alert threshold for unjustified pay gaps. This development will increase the need to monitor and analyse pay disparities.

    For your HR dashboard, this change has three practical implications:

    • More granular analysis is required. A gap calculated at company level will no longer be enough: it will need to be broken down by job category and by work of equal value, which requires a reliable job classification framework within your system.
    • Monitoring must become more frequent. An annual review is no longer sufficient to act in time when a gap exceeds the alert threshold. Monitoring must become a live metric, updated in line with changes in pay.
    • Traceable evidence is becoming as important as the figure itself. It is no longer enough to measure a gap. For every identified difference, you must be able to demonstrate that it is based on an objective criterion (such as length of service, skills or performance) and not on gender.

    Which HR metrics help inform decisions rather than describe the past?

    Most HR dashboards focus on the past: turnover, completed hires and training hours delivered. They explain what has happened, but rarely help anticipate what will happen next. Yet as HR transformation accelerates, workforce management can no longer be limited to retrospective analysis.

    Senior management expects metrics that support decisions and anticipate risks. The question is no longer simply “how many people did we hire?”, but “which strategic roles are vulnerable, which gaps could hamper our performance, and what could the consequences be for the organisation?”.

    In practical terms, the focus shifts from the actions carried out by HR to their actual impact on the organisation:

    • Critical-role coverage: do key functions have identified successors to ensure business continuity?
    • Skills gaps: which skills are missing today—or will be missing tomorrow—to support business priorities?
    • Pay equity: where are the pay gaps, and what action is required to reduce them?
    • Availability of key talent: which employees are most strategically important and at risk of leaving or disengaging?
    • Management quality: where are the early warning signs that could affect employee engagement, performance or retention?

    These metrics are not only used to meet regulatory requirements or feed reports. They enable HR to provide a strategic assessment of the situation and come to the Executive Committee with evidence-based recommendations rather than a simple snapshot of the past.

    How can you make every pay gap explainable to senior management?

    Identifying a pay gap is no longer enough. The real question is whether the gap can be explained, objectively assessed and justified using factual criteria.

    To achieve this, pay data must be considered alongside other HR information, such as performance level, skills, career potential and length of service. Cross-referencing this information makes it possible to distinguish a legitimate pay difference from a situation that may require corrective action.

    In mpleo, this analysis is based on three complementary modules:

    The aim is not simply to detect a gap, but to understand its source, maintain a clear audit trail and, when necessary, take consistent corrective action.

    When the results are presented to the Executive Committee, the discussion is no longer solely about salaries. Instead, it brings together three essential dimensions: performance, equity and budget impact. This comprehensive view helps the organisation make informed decisions and strengthen the security of its pay policy.

    How can you keep your HR dashboard reliable over time?

    The real challenge is not choosing the right metrics. It is being able to trust them.

    In many organisations, HR data is spread across several tools and files: payroll, recruitment, performance reviews, skills management and salary review processes. Each extraction produces slightly different results depending on when the data was last updated or which calculation method was used.

    This becomes a problem as soon as a metric is used to justify a pay decision, support regulatory reporting or be presented to the Executive Committee. An HR dashboard only delivers value when everyone shares the same definition of each metric and works from data that is reliable, traceable and up to date.

    Before adding new KPIs to your dashboard, ask three questions:

    • Is the data centralised in a single source of truth?
    • Are the metrics calculated consistently over time?
    • Can the source of a figure( and the data behind it) be identified easily?

    This level of reliability allows HR to present the Executive Committee with robust figures that can withstand questions, requests for evidence and management trade-offs.

    Would you like to centralise your data and turn your metrics into decision-support tools? Discover the mpleo HRIS platform.

    FAQ: HR dashboards

    An HR dashboard brings together a centralised set of key metrics to track HR activity and performance. Above all, it supports strategic objectives such as budget decisions, action plans, and recruitment or training priorities.

    HR reporting describes what happened over a given period, such as the number of hires completed in the previous quarter. A decision-oriented HR dashboard goes further: it combines several metrics to identify an emerging risk or support a choice, for example, by connecting the turnover rate for a critical role with its replacement cost and time to hire.

    Effective human resource management requires a combination of retrospective data (such as turnover, absence and training costs) and forward-looking data, including critical-role coverage, skills gaps and pay equity. It is the way these metrics are combined, rather than their number, that makes the dashboard useful.

    It depends on the metric. Regulatory data, such as the French Gender Equality Index and statutory workforce reporting, follows a mandatory annual cycle. Operational management metrics, including turnover, absence and the progress of performance review processes, should be monitored monthly, or even in real time where the system allows, so that early warning signs can be identified before they develop into concrete issues.

    An Excel spreadsheet may be sufficient for strictly descriptive reporting within a limited scope. Once the objective is to combine multiple data sources, such as payroll, performance reviews and recruitment, to produce a forward-looking view, an HRIS capable of centralising and connecting this data becomes essential. It improves data reliability and automates updates.