Skip to content

Glossary E

Economies of scale

  1. In-House Vs. Outsourced Data Analysis (Deciphered)

Education verification

  1. Pre-Selection Vs. Post-Selection Data in Recruitment (Defined)

Effectiveness

  1. Online Vs. Offline Data in Recruitment (Compared)
  2. Data-Driven Recruitment: Pre-Hire Vs. Post-Hire Metrics (Clarified)
  3. Recruitment KPIs Vs. Business KPIs (Decoded)
  4. Data-Driven Recruitment: Quality Vs. Quantity (Compared)
  5. Data-Driven Vs. Intuitive Recruitment (Clarified)
  6. Data-Driven Sourcing Vs. Traditional Sourcing (Decoded)
  7. People Analytics Vs HR Metrics (Decoded)
  8. Algorithmic Vs. Heuristic Approach in Recruitment (Explained)
  9. Data-Driven Recruitment: Local Vs. Global (Decoded)
  10. Talent Analytics Vs. HR Analytics (Unpacked)
  11. Predictive Vs. Descriptive Analytics in Recruitment (Defined)
  12. Data-Driven Recruitment: Active Vs. Passive Candidates (Defined)
  13. Data-Driven Recruitment: Job Boards Vs. LinkedIn (Defined)
  14. Data-Driven Recruitment: Inbound Vs. Outbound (Deciphered)
  15. Big Data Vs. Small Data in Recruitment (Explained)
  16. Data-Driven Recruitment: Skills Gap Vs. Vacancies (Explained)
  17. Data-Driven Recruitment: Structured Vs. Unstructured Data (Compared)
  18. Data-Driven Recruitment: AI Vs. Human Decisions (Unpacked)
  19. Real-Time Vs. Historical Data in Recruitment (Unpacked)
  20. Data-Driven Recruitment: Internal Vs External Data (Explained)
  21. Social Media Analytics Vs. Web Analytics (Explained)
  22. Pre-Selection Vs. Post-Selection Data in Recruitment (Defined)
  23. What Is A Data Driven Recruitment Process? (8 Most Common Questions Answered)
  24. Data Mining Vs. Data Analysis in Recruitment (Decoded)
  25. Data-Driven Recruitment: Mobile Vs. Desktop (Compared)
  26. Applicant Tracking Vs. Recruitment Marketing (Defined)
  27. How to Set Goals for Successful Hiring: What Questions Should You Ask? (10 Important Questions Answered)
  28. What Are the Most Important Leadership Traits to Assess in a Video Interview? (10 Important Questions Answered)
  29. What Are the Challenges of Implementing Increased Objectivity in Recruiting? (9 Simple Questions Answered)
  30. How to Effectively Delegate Responsibilities for Maximum Efficiency? (10 Important Questions Answered)
  31. What Are the Challenges of Implementing Predictive Analytics in Recruitment? (10 Important Questions Answered)
  32. How Can You Assess Technical Knowledge Through Debugging Exercises? (6 Common Questions Answered)
  33. Predictive Vs. Prescriptive Data in Recruitment (Clarified)
  34. Talent Pool Vs. Candidate Pipeline (Clarified)
  35. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)
  36. Data-Driven Vs. Traditional Job Posting (Deciphered)

Efficiency

  1. How to Effectively Delegate Responsibilities for Maximum Efficiency? (10 Important Questions Answered)
  2. Real-Time Vs. Historical Data in Recruitment (Unpacked)
  3. Applicant Tracking Vs. Recruitment Marketing (Defined)
  4. Machine Learning Vs. AI in Recruitment (Compared)
  5. Algorithmic Vs. Heuristic Approach in Recruitment (Explained)
  6. How Does a Data-Driven Recruitment Process Improve Decision-Making? (5 Main Questions Answered)
  7. Predictive Vs. Prescriptive Data in Recruitment (Clarified)
  8. Data-Driven Vs. Traditional Job Posting (Deciphered)
  9. What Strategies Can Help Minimize Distractions During the Hiring Process? (10 Important Questions Answered)
  10. Data-Driven Sourcing Vs. Traditional Sourcing (Decoded)
  11. Data-Driven Recruitment: AI Vs. Human Decisions (Unpacked)
  12. Data-Driven Recruitment: Quality Vs. Quantity (Compared)
  13. Data-Driven Recruitment: Local Vs. Global (Decoded)
  14. What Is A Data Driven Recruitment Process? (8 Most Common Questions Answered)
  15. Data-Driven Recruitment: Active Vs. Passive Candidates (Defined)
  16. What Type of Coding Challenges Should I Use When Hiring Someone? (10 Important Questions Answered)
  17. In-House Vs. Outsourced Data Analysis (Deciphered)
  18. Talent Pool Vs. Candidate Pipeline (Clarified)
  19. Online Vs. Offline Data in Recruitment (Compared)
  20. Predictive Vs. Descriptive Analytics in Recruitment (Defined)
  21. What Types of Pre-Employment Tests Should You Use? (9 Simple Questions Answered)
  22. How Can You Assess Technical Knowledge Through Debugging Exercises? (6 Common Questions Answered)
  23. Data Mining Vs. Data Analysis in Recruitment (Decoded)
  24. Data-Driven Recruitment: Skills Gap Vs. Vacancies (Explained)
  25. Data-Driven Recruitment: Inbound Vs. Outbound (Deciphered)
  26. ATS Vs. CRM in Data-Driven Recruitment (Clarified)
  27. How to Set Goals for Successful Hiring: What Questions Should You Ask? (10 Important Questions Answered)
  28. What Video Interview Questions Should I Ask When Hiring Someone? (9 Simple Questions Answered)

Emotional intelligence

  1. Cognitive Vs. Emotional Intelligence in Recruitment (Unpacked)
  2. What Types of Questions are Used in Psychometric Assessments? (10 Important Questions Answered)
  3. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)
  4. What Types of Questions Should Be Included in a Personality Assessment? (10 Important Questions Answered)
  5. What Are the Most Important Leadership Traits to Assess in a Video Interview? (10 Important Questions Answered)
  6. What Types of Pre-Employment Tests Should You Use? (9 Simple Questions Answered)
  7. What Types of Scenario-Based Questions Should I Ask When Hiring Someone? (10 Important Questions Answered)
  8. Data-Driven Recruitment: Inbound Vs. Outbound (Deciphered)
  9. How Can I Use an IQ Test to Assess Problem-Solving Abilities? (9 Simple Questions Answered)
  10. What Questions Should Be Included in a Structured Interview? (10 Important Questions Answered)

Emotional traits

  1. Cognitive Vs. Emotional Intelligence in Recruitment (Unpacked)

Emotion detection

  1. Social Media Analytics Vs. Web Analytics (Explained)

Empathy

  1. Cognitive Vs. Emotional Intelligence in Recruitment (Unpacked)
  2. What Questions Should Be Included in a Structured Interview? (10 Important Questions Answered)
  3. What Are the Most Important Leadership Traits to Assess in a Video Interview? (10 Important Questions Answered)
  4. How to Demonstrate Problem-Solving Skills in a Video Interview: What Questions Should I Prepare For? (9 Simple Questions Answered)
  5. What Types of Questions are Used in Psychometric Assessments? (10 Important Questions Answered)
  6. Data-Driven Recruitment: AI Vs. Human Decisions (Unpacked)
  7. “Assessing Listening Skills in a Video Interview: What Questions Should I Ask?” – What Strategies Can I Use to Evaluate a Candidate’s Listening Skills? (8 Most Common Questions Answered)
  8. What Types of Questions Should Be Included in a Personality Assessment? (10 Important Questions Answered)
  9. How to Achieve the Perfect Fit for Your Video Interview? (10 Important Questions Answered)

Employee advocacy

  1. Data-Driven Recruitment: Job Boards Vs. LinkedIn (Defined)

Employee development

  1. Talent Analytics Vs. HR Analytics (Unpacked)
  2. What Types of Questions are Used in Psychometric Assessments? (10 Important Questions Answered)
  3. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)

Employee engagement

  1. People Analytics Vs HR Metrics (Decoded)
  2. Talent Analytics Vs. HR Analytics (Unpacked)
  3. Recruitment KPIs Vs. Business KPIs (Decoded)
  4. Data-Driven Recruitment: Pre-Hire Vs. Post-Hire Metrics (Clarified)
  5. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)
  6. Talent Pool Vs. Candidate Pipeline (Clarified)
  7. Data-Driven Recruitment: Local Vs. Global (Decoded)
  8. Cognitive Vs. Emotional Intelligence in Recruitment (Unpacked)
  9. Data-Driven Recruitment: Inbound Vs. Outbound (Deciphered)
  10. Predictive Vs. Prescriptive Data in Recruitment (Clarified)
  11. What Types of Pre-Employment Tests Should You Use? (9 Simple Questions Answered)
  12. Pre-Selection Vs. Post-Selection Data in Recruitment (Defined)
  13. Algorithmic Vs. Heuristic Approach in Recruitment (Explained)
  14. Data Mining Vs. Data Analysis in Recruitment (Decoded)
  15. Real-Time Vs. Historical Data in Recruitment (Unpacked)

Employee Engagement Platforms

  1. Predictive Vs. Prescriptive Data in Recruitment (Clarified)

Employee engagement strategies

  1. Talent Pool Vs. Candidate Pipeline (Clarified)
  2. Talent Analytics Vs. HR Analytics (Unpacked)

Employee performance metrics

  1. Talent Analytics Vs. HR Analytics (Unpacked)
  2. Data-Driven Recruitment: Internal Vs External Data (Explained)

Employee productivity

  1. Recruitment KPIs Vs. Business KPIs (Decoded)

Employee referral program

  1. Data-Driven Recruitment: Active Vs. Passive Candidates (Defined)
  2. Data-Driven Vs. Diversity Hiring (Unpacked)
  3. Talent Pool Vs. Candidate Pipeline (Clarified)
  4. Data-Driven Sourcing Vs. Traditional Sourcing (Decoded)
  5. Predictive Vs. Prescriptive Data in Recruitment (Clarified)
  6. Applicant Tracking Vs. Recruitment Marketing (Defined)
  7. Data-Driven Recruitment: Local Vs. Global (Decoded)
  8. Data-Driven Recruitment: Structured Vs. Unstructured Data (Compared)
  9. People Analytics Vs HR Metrics (Decoded)
  10. How Can I Ensure My Team Is Properly Organized During the Hiring Process? (10 Important Questions Answered)

Employee referrals

  1. Online Vs. Offline Data in Recruitment (Compared)
  2. Data-Driven Recruitment: Active Vs. Passive Candidates (Defined)
  3. Data-Driven Vs. Traditional Job Posting (Deciphered)
  4. Applicant Tracking Vs. Recruitment Marketing (Defined)
  5. Data-Driven Recruitment: Job Boards Vs. LinkedIn (Defined)
  6. Data-Driven Recruitment: Quality Vs. Quantity (Compared)
  7. Data-Driven Sourcing Vs. Traditional Sourcing (Decoded)
  8. Talent Analytics Vs. HR Analytics (Unpacked)
  9. Talent Pool Vs. Candidate Pipeline (Clarified)
  10. ATS Vs. CRM in Data-Driven Recruitment (Clarified)
  11. Data-Driven Recruitment: Local Vs. Global (Decoded)
  12. Data-Driven Recruitment: Pre-Hire Vs. Post-Hire Metrics (Clarified)
  13. Data-Driven Vs. Diversity Hiring (Unpacked)
  14. Data-Driven Vs. Intuitive Recruitment (Clarified)
  15. Predictive Vs. Descriptive Analytics in Recruitment (Defined)
  16. Pre-Selection Vs. Post-Selection Data in Recruitment (Defined)

Employee resource groups (ERGs)

  1. Data-Driven Recruitment: Local Vs. Global (Decoded)

Employee retention

  1. Recruitment KPIs Vs. Business KPIs (Decoded)
  2. Data-Driven Recruitment: Inbound Vs. Outbound (Deciphered)
  3. Data-Driven Recruitment: Local Vs. Global (Decoded)
  4. Data-Driven Recruitment: Pre-Hire Vs. Post-Hire Metrics (Clarified)
  5. Predictive Vs. Descriptive Analytics in Recruitment (Defined)
  6. Pre-Selection Vs. Post-Selection Data in Recruitment (Defined)
  7. Real-Time Vs. Historical Data in Recruitment (Unpacked)
  8. Talent Pool Vs. Candidate Pipeline (Clarified)
  9. Cognitive Vs. Emotional Intelligence in Recruitment (Unpacked)
  10. Data-Driven Recruitment: AI Vs. Human Decisions (Unpacked)
  11. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)
  12. Data-Driven Recruitment: Internal Vs External Data (Explained)
  13. Data-Driven Vs. Diversity Hiring (Unpacked)
  14. Data Mining Vs. Data Analysis in Recruitment (Decoded)
  15. Talent Analytics Vs. HR Analytics (Unpacked)

Employee retention analysis

  1. Talent Analytics Vs. HR Analytics (Unpacked)

Employee retention rates

  1. Data-Driven Vs. Diversity Hiring (Unpacked)
  2. Recruitment KPIs Vs. Business KPIs (Decoded)
  3. Talent Pool Vs. Candidate Pipeline (Clarified)
  4. Online Vs. Offline Data in Recruitment (Compared)
  5. Predictive Vs. Descriptive Analytics in Recruitment (Defined)
  6. Predictive Vs. Prescriptive Data in Recruitment (Clarified)
  7. Data-Driven Recruitment: AI Vs. Human Decisions (Unpacked)
  8. Data-Driven Recruitment: Internal Vs External Data (Explained)
  9. Data-Driven Recruitment: Quality Vs. Quantity (Compared)
  10. How to Set Goals for Successful Hiring: What Questions Should You Ask? (10 Important Questions Answered)
  11. People Analytics Vs HR Metrics (Decoded)
  12. What Is A Data Driven Recruitment Process? (8 Most Common Questions Answered)

Employee retention strategies

  1. Talent Pool Vs. Candidate Pipeline (Clarified)
  2. Data-Driven Recruitment: Inbound Vs. Outbound (Deciphered)
  3. Pre-Selection Vs. Post-Selection Data in Recruitment (Defined)
  4. Cognitive Vs. Emotional Intelligence in Recruitment (Unpacked)
  5. Talent Analytics Vs. HR Analytics (Unpacked)

Employee satisfaction surveys

  1. Recruitment KPIs Vs. Business KPIs (Decoded)
  2. People Analytics Vs HR Metrics (Decoded)

Employee Self-Service (ESS)

  1. Machine Learning Vs. AI in Recruitment (Compared)

Employee value proposition (EVP)

  1. Data-Driven Recruitment: Active Vs. Passive Candidates (Defined)
  2. Data-Driven Recruitment: Inbound Vs. Outbound (Deciphered)
  3. Data-Driven Recruitment: Skills Gap Vs. Vacancies (Explained)
  4. Data-Driven Vs. Traditional Job Posting (Deciphered)

Employee wellness programs

  1. People Analytics Vs HR Metrics (Decoded)
  2. Talent Pool Vs. Candidate Pipeline (Clarified)

Employer branding

  1. Data-Driven Recruitment: Inbound Vs. Outbound (Deciphered)
  2. Data-Driven Recruitment: Job Boards Vs. LinkedIn (Defined)
  3. Recruitment KPIs Vs. Business KPIs (Decoded)
  4. Applicant Tracking Vs. Recruitment Marketing (Defined)
  5. Talent Pool Vs. Candidate Pipeline (Clarified)
  6. Data-Driven Recruitment: Local Vs. Global (Decoded)
  7. Data-Driven Recruitment: Pre-Hire Vs. Post-Hire Metrics (Clarified)
  8. Data-Driven Recruitment: Skills Gap Vs. Vacancies (Explained)
  9. Data-Driven Recruitment: Active Vs. Passive Candidates (Defined)
  10. Data-Driven Sourcing Vs. Traditional Sourcing (Decoded)
  11. Data-Driven Recruitment: Mobile Vs. Desktop (Compared)
  12. Online Vs. Offline Data in Recruitment (Compared)
  13. Data-Driven Recruitment: Quality Vs. Quantity (Compared)
  14. Data-Driven Recruitment: Internal Vs External Data (Explained)
  15. Data-Driven Vs. Traditional Job Posting (Deciphered)
  16. ATS Vs. CRM in Data-Driven Recruitment (Clarified)
  17. Real-Time Vs. Historical Data in Recruitment (Unpacked)
  18. Talent Analytics Vs. HR Analytics (Unpacked)
  19. Algorithmic Vs. Heuristic Approach in Recruitment (Explained)
  20. Predictive Vs. Prescriptive Data in Recruitment (Clarified)
  21. Data Mining Vs. Data Analysis in Recruitment (Decoded)
  22. How Does a Data-Driven Recruitment Process Improve Decision-Making? (5 Main Questions Answered)
  23. Qualitative Vs Quantitative Data in Recruitment (Deciphered)
  24. What Is A Data Driven Recruitment Process? (8 Most Common Questions Answered)

Employer Branding Efforts

  1. Applicant Tracking Vs. Recruitment Marketing (Defined)

Employer branding impact

  1. Data-Driven Recruitment: Local Vs. Global (Decoded)

Employer branding insights

  1. Data-Driven Recruitment: Internal Vs External Data (Explained)

Employer branding strategies

  1. Big Data Vs. Small Data in Recruitment (Explained)
  2. Data-Driven Recruitment: Active Vs. Passive Candidates (Defined)
  3. Online Vs. Offline Data in Recruitment (Compared)
  4. Data-Driven Recruitment: Inbound Vs. Outbound (Deciphered)
  5. Data-Driven Recruitment: Job Boards Vs. LinkedIn (Defined)
  6. Data-Driven Recruitment: Local Vs. Global (Decoded)
  7. Predictive Vs. Descriptive Analytics in Recruitment (Defined)
  8. Qualitative Vs Quantitative Data in Recruitment (Deciphered)
  9. How Can I Ensure My Team Is Properly Organized During the Hiring Process? (10 Important Questions Answered)
  10. Talent Analytics Vs. HR Analytics (Unpacked)
  11. Talent Pool Vs. Candidate Pipeline (Clarified)

Employer brand perception

  1. Data-Driven Recruitment: Pre-Hire Vs. Post-Hire Metrics (Clarified)

Employer reputation

  1. Data-Driven Recruitment: Inbound Vs. Outbound (Deciphered)

Employment gap analysis

  1. Pre-Selection Vs. Post-Selection Data in Recruitment (Defined)

Employment law

  1. Data-Driven Vs. Intuitive Recruitment (Clarified)

Engagement metrics

  1. Data-Driven Recruitment: Mobile Vs. Desktop (Compared)
  2. Talent Analytics Vs. HR Analytics (Unpacked)

Engagement rate

  1. Social Media Analytics Vs. Web Analytics (Explained)
  2. Data-Driven Recruitment: Job Boards Vs. LinkedIn (Defined)

Entropy

  1. Machine Learning Vs. AI in Recruitment (Compared)

Equal Employment Opportunity

  1. What Are the Challenges of Implementing Predictive Analytics in Recruitment? (10 Important Questions Answered)

Equal employment opportunity (EEO) laws

  1. Data-Driven Vs. Diversity Hiring (Unpacked)
  2. Data-Driven Vs. Intuitive Recruitment (Clarified)
  3. Applicant Tracking Vs. Recruitment Marketing (Defined)
  4. Data-Driven Recruitment: AI Vs. Human Decisions (Unpacked)
  5. Data-Driven Vs. Traditional Job Posting (Deciphered)

Error detection and correction

  1. In-House Vs. Outsourced Data Analysis (Deciphered)

Evaluation

  1. What Types of Questions Should Be Included in a Competency-Based Assessment? (10 Important Questions Answered)
  2. What Types of Questions are Used in Psychometric Assessments? (10 Important Questions Answered)
  3. What Types of Pre-Employment Tests Should You Use? (9 Simple Questions Answered)
  4. Pre-Selection Vs. Post-Selection Data in Recruitment (Defined)
  5. Cognitive Vs. Emotional Intelligence in Recruitment (Unpacked)
  6. How Can I Ensure My Team Is Properly Organized During the Hiring Process? (10 Important Questions Answered)
  7. What Are the Challenges of Implementing Increased Objectivity in Recruiting? (9 Simple Questions Answered)
  8. Qualitative Vs Quantitative Data in Recruitment (Deciphered)
  9. Data-Driven Sourcing Vs. Traditional Sourcing (Decoded)
  10. How Can I Use an IQ Test to Assess Problem-Solving Abilities? (9 Simple Questions Answered)
  11. What Types of Questions Should Be Included in a Personality Assessment? (10 Important Questions Answered)
  12. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)
  13. What Type of Coding Challenges Should I Use When Hiring Someone? (10 Important Questions Answered)
  14. Real-Time Vs. Historical Data in Recruitment (Unpacked)
  15. What Type of Simple Shapes Work Best for Professional Development? (10 Important Questions Answered)
  16. Predictive Vs. Descriptive Analytics in Recruitment (Defined)
  17. What Are the Challenges of Implementing Predictive Analytics in Recruitment? (10 Important Questions Answered)
  18. Applicant Tracking Vs. Recruitment Marketing (Defined)
  19. What Types of Questions Should Be Included in an Interview Questionnaire? (10 Important Questions Answered)
  20. Talent Pool Vs. Candidate Pipeline (Clarified)
  21. In-House Vs. Outsourced Data Analysis (Deciphered)
  22. How to Effectively Delegate Responsibilities for Maximum Efficiency? (10 Important Questions Answered)
  23. Data-Driven Vs. Traditional Job Posting (Deciphered)
  24. Data-Driven Vs. Intuitive Recruitment (Clarified)
  25. Data-Driven Recruitment: Pre-Hire Vs. Post-Hire Metrics (Clarified)
  26. Data-Driven Recruitment: Local Vs. Global (Decoded)
  27. Data-Driven Recruitment: Job Boards Vs. LinkedIn (Defined)
  28. What Are the Most Important Leadership Traits to Assess in a Video Interview? (10 Important Questions Answered)
  29. What Video Interview Questions Should I Ask When Hiring Someone? (9 Simple Questions Answered)

Evidence-based decisions

  1. Data-Driven Vs. Intuitive Recruitment (Clarified)
  2. People Analytics Vs HR Metrics (Decoded)

Expertise availability

  1. In-House Vs. Outsourced Data Analysis (Deciphered)

External data

  1. Data-Driven Recruitment: Internal Vs External Data (Explained)

External data sources

  1. Data-Driven Recruitment: Internal Vs External Data (Explained)