Women in Africa: 2026 Data on Work, Leadership, Skills and Economic Opportunity
Current evidence on women in Sub-Saharan Africa covering work, leadership, skills, unpaid care, digital access and the limits of broad regional averages.
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Employee Turnover Cost: How to Build the Business Case for Retention
Practical framework for calculating employee turnover cost using recruitment, vacancy, onboarding and productivity data to build a defensible retention business case.
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Ghana Unemployment Rate 2025: Latest GSS Statistics
Latest Ghana unemployment evidence using Ghana Statistical Service data, with national and youth unemployment figures kept in their correct period and population scope.
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Employee Retention Rate: Definition, Formula and How to Interpret It
Clear guide to the employee retention-rate formula, cohort analysis, turnover differences, segmentation and why one company-wide percentage can be misleading.
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Employee Engagement Survey Questions: How to Design a Survey You Can Act On
Practical guide to employee engagement survey questions, measurement design, privacy safeguards, validated instruments, pulse surveys and post-survey action.
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Employee Recognition at Work: How to Make It Specific, Fair and Useful
Practical guide to employee recognition at work, covering specific praise, fairness, timing, manager habits and how to make recognition useful without treating it as a substitute for pay or good management.
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Employee Engagement Action Plan: How to Turn Survey Results into Measurable Change
Practical employee engagement action plan for turning survey results into focused priorities, accountable actions, progress measures and credible follow-through.
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Inclusive Recruitment: How to Reduce Bias and Build Fairer Hiring Processes
Build a fairer hiring process with clear job criteria, structured interviews, skills-based assessment, accessible recruitment and outcome monitoring to reduce bias without lowering standards.
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Managing Early-Career Employees: Development, Feedback and Progression
Practical guide to managing early-career employees through clear expectations, useful feedback, real-work learning, mentoring, career development and growing autonomy.
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Diverse AI Teams and Responsible AI: Why Representation Is Only One Safeguard
Evidence-led guide to diverse AI teams and responsible AI, covering data quality, testing, accessibility, human oversight, impact assessment and ongoing monitoring.
