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Analyzing campaign data with review analytics

Learn to use Analytics in Figures to gain insights, ensure fairness, and manage salaries effectively in your compensation review.

Updated over a week ago

The Analytics feature in Figures provides powerful insights into your compensation review process. It allows you to examine key metrics, identify trends, and ensure fairness across your organization. Regular use of these analytics throughout your campaign is crucial for maintaining oversight and making informed decisions.

Accessing Analytics

  • Navigate to your compensation review campaign

  • Click on the "Analytics" tab

Main metrics

The Analytics page provides a comprehensive set of KPIs, including:

  • Review and promotion budgets

  • Average increase

  • Percentage of employees receiving an increase

  • Manual adjustment rate

  • Promotion rate

  • Highest and lowest increases

  • Average compa-ratio

  • Range penetration

  • Pay gap analysis

These KPIs offer a quick overview of your campaign's outcomes and help identify trends or issues.

Filtering and grouping data

To dive deeper into your data:

  • Use the "Filter" option to focus on specific dimensions:

    • Business units

    • Managers

    • Teams

    • Countries

    • Any other relevant dimension in your organization

  • Or use the "Group by" feature to break down data by various factors like:

    • Gender (to ensure equal treatment)

    • Department (to compare across different areas of the business)

    • Level (to analyze progression and pay equity)

    • Any other relevant dimension in your organization

The flexibility to filter and group by any relevant dimension allows for customized analysis based on your organization's unique structure and needs.

Analyzing specific metrics

Pay special attention to:

  • Budget utilization: Ensure you're staying within allocated budgets

  • Manual adjustments: High rates may indicate issues with initial recommendations

  • Promotion rates: Understand career progression across different groups

  • Pay gap: Monitor and address any gender or other demographic-based pay disparities

  • Compa-ratio and range penetration: Ensure salaries are appropriately positioned within ranges

Best practices

  • Review analytics regularly throughout the campaign to identify and address issues early

  • Compare metrics across different dimensions to ensure consistency and fairness

  • Use insights gained to inform current decisions and future compensation strategies

  • Share relevant analytics with stakeholders to support decision-making and demonstrate the campaign's impact

By effectively using the Analytics feature, you can ensure your compensation review process is data-driven, fair, and aligned with your organization's goals.

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