Skip to content

Glossary P

Panel Interviews

  1. Data-Driven Vs. Traditional Job Posting (Deciphered)

Passive candidate identification

  1. Talent Pool Vs. Candidate Pipeline (Clarified)

Passive candidate outreach

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

Passive candidate sourcing

  1. Data-Driven Sourcing Vs. Traditional Sourcing (Decoded)
  2. Data Mining Vs. Data Analysis in Recruitment (Decoded)
  3. Data-Driven Recruitment: Pre-Hire Vs. Post-Hire Metrics (Clarified)

Pattern recognition

  1. What Type of Brainteasers Should I Use When Hiring Someone? (9 Simple Questions Answered)
  2. How Can I Use an IQ Test to Assess Problem-Solving Abilities? (9 Simple Questions Answered)
  3. “Logic Puzzles: How Can They Help Assess Problem-Solving Ability?”
    What Types of Logic Puzzles Are Best for Assessing Problem-Solving Ability? (5 Main Questions Answered)
  4. People Analytics Vs HR Metrics (Decoded)
  5. Data-Driven Recruitment: Structured Vs. Unstructured Data (Compared)
  6. Data-Driven Recruitment: Quality Vs. Quantity (Compared)
  7. What Types of Questions are Used in Psychometric Assessments? (10 Important Questions Answered)

Payroll Processing

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

People analytics

  1. People Analytics Vs HR Metrics (Decoded)

Perception

  1. What Type of Brainteasers Should I Use When Hiring Someone? (9 Simple Questions Answered)
  2. Cognitive Vs. Emotional Intelligence in Recruitment (Unpacked)
  3. Data-Driven Recruitment: Active Vs. Passive Candidates (Defined)
  4. Data Mining Vs. Data Analysis in Recruitment (Decoded)
  5. What Types of Questions Should Be Included in a Personality Assessment? (10 Important Questions Answered)

Performance analysis

  1. Data-Driven Sourcing Vs. Traditional Sourcing (Decoded)
  2. Data-Driven Vs. Intuitive Recruitment (Clarified)

Performance appraisal

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

Performance benchmarking comparisons

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

Performance evaluation

  1. Recruitment KPIs Vs. Business KPIs (Decoded)
  2. Data Mining Vs. Data Analysis in Recruitment (Decoded)
  3. Data-Driven Recruitment: Pre-Hire Vs. Post-Hire Metrics (Clarified)
  4. What Type of Brainteasers Should I Use When Hiring Someone? (9 Simple Questions Answered)
  5. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)
  6. Data-Driven Vs. Diversity Hiring (Unpacked)
  7. How Can I Use an IQ Test to Assess Problem-Solving Abilities? (9 Simple Questions Answered)
  8. Talent Pool Vs. Candidate Pipeline (Clarified)

Performance evaluation criteria

  1. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)

Performance evaluation metrics

  1. Data-Driven Recruitment: Skills Gap Vs. Vacancies (Explained)
  2. Data-Driven Vs. Diversity Hiring (Unpacked)

Performance management

  1. Machine Learning Vs. AI in Recruitment (Compared)
  2. Data-Driven Vs. Diversity Hiring (Unpacked)
  3. People Analytics Vs HR Metrics (Decoded)
  4. Predictive Vs. Descriptive Analytics in Recruitment (Defined)
  5. Talent Analytics Vs. HR Analytics (Unpacked)
  6. Talent Pool Vs. Candidate Pipeline (Clarified)

Performance management systems

  1. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)
  2. Recruitment KPIs Vs. Business KPIs (Decoded)
  3. Talent Analytics Vs. HR Analytics (Unpacked)

Performance metrics

  1. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)
  2. Predictive Vs. Descriptive Analytics in Recruitment (Defined)
  3. Online Vs. Offline Data in Recruitment (Compared)
  4. Data-Driven Recruitment: Structured Vs. Unstructured Data (Compared)
  5. Recruitment KPIs Vs. Business KPIs (Decoded)
  6. Data-Driven Recruitment: Skills Gap Vs. Vacancies (Explained)
  7. Algorithmic Vs. Heuristic Approach in Recruitment (Explained)
  8. Pre-Selection Vs. Post-Selection Data in Recruitment (Defined)
  9. How to Set Goals for Successful Hiring: What Questions Should You Ask? (10 Important Questions Answered)
  10. In-House Vs. Outsourced Data Analysis (Deciphered)
  11. Real-Time Vs. Historical Data in Recruitment (Unpacked)
  12. Predictive Vs. Prescriptive Data in Recruitment (Clarified)
  13. What Is A Data Driven Recruitment Process? (8 Most Common Questions Answered)
  14. Data-Driven Vs. Traditional Job Posting (Deciphered)
  15. Talent Analytics Vs. HR Analytics (Unpacked)
  16. Data-Driven Recruitment: Active Vs. Passive Candidates (Defined)
  17. What Types of Questions Should Be Included in a Competency-Based Assessment? (10 Important Questions Answered)
  18. Qualitative Vs Quantitative Data in Recruitment (Deciphered)
  19. Big Data Vs. Small Data in Recruitment (Explained)
  20. Applicant Tracking Vs. Recruitment Marketing (Defined)
  21. Social Media Analytics Vs. Web Analytics (Explained)
  22. How Can I Ensure My Team Is Properly Organized During the Hiring Process? (10 Important Questions Answered)
  23. Machine Learning Vs. AI in Recruitment (Compared)

Performance metrics analysis

  1. Data-Driven Vs. Traditional Job Posting (Deciphered)

Performance metrics tracking

  1. Talent Analytics Vs. HR Analytics (Unpacked)

Performance prediction

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

Performance reviews/evaluations

  1. People Analytics Vs HR Metrics (Decoded)

Performance standards

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

Performance tracking tools

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

Personal accountability

  1. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)

Personality tests

  1. Cognitive Vs. Emotional Intelligence in Recruitment (Unpacked)
  2. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)
  3. What Types of Pre-Employment Tests Should You Use? (9 Simple Questions Answered)

Personality traits

  1. What Types of Questions are Used in Psychometric Assessments? (10 Important Questions Answered)
  2. Big Data Vs. Small Data in Recruitment (Explained)
  3. Data-Driven Recruitment: AI Vs. Human Decisions (Unpacked)
  4. Data-Driven Recruitment: Structured Vs. Unstructured Data (Compared)
  5. Data-Driven Sourcing Vs. Traditional Sourcing (Decoded)
  6. What Types of Pre-Employment Tests Should You Use? (9 Simple Questions Answered)
  7. Real-Time Vs. Historical Data in Recruitment (Unpacked)
  8. Algorithmic Vs. Heuristic Approach in Recruitment (Explained)
  9. Cognitive Vs. Emotional Intelligence in Recruitment (Unpacked)
  10. Data Mining Vs. Data Analysis in Recruitment (Decoded)
  11. Pre-Selection Vs. Post-Selection Data in Recruitment (Defined)

Personalization

  1. ATS Vs. CRM in Data-Driven Recruitment (Clarified)
  2. Data-Driven Recruitment: Internal Vs External Data (Explained)
  3. Data-Driven Vs. Traditional Job Posting (Deciphered)
  4. Data Mining Vs. Data Analysis in Recruitment (Decoded)
  5. Data-Driven Recruitment: AI Vs. Human Decisions (Unpacked)
  6. Online Vs. Offline Data in Recruitment (Compared)
  7. Social Media Analytics Vs. Web Analytics (Explained)

Personal judgment factor

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

Person specification

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

Pie charts

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

Pipeline analysis

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

Post-hire metrics

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

Post-selection data

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

Predictive accuracy

  1. Algorithmic Vs. Heuristic Approach in Recruitment (Explained)
  2. Machine Learning Vs. AI in Recruitment (Compared)

Predictive analytics

  1. What Are the Challenges of Implementing Predictive Analytics in Recruitment? (10 Important Questions Answered)
  2. Predictive Vs. Descriptive Analytics in Recruitment (Defined)
  3. Data-Driven Recruitment: AI Vs. Human Decisions (Unpacked)
  4. Data-Driven Recruitment: Quality Vs. Quantity (Compared)
  5. Data Mining Vs. Data Analysis in Recruitment (Decoded)
  6. Data-Driven Vs. Intuitive Recruitment (Clarified)
  7. How Does a Data-Driven Recruitment Process Improve Decision-Making? (5 Main Questions Answered)
  8. Predictive Vs. Prescriptive Data in Recruitment (Clarified)
  9. Real-Time Vs. Historical Data in Recruitment (Unpacked)
  10. Data-Driven Recruitment: Skills Gap Vs. Vacancies (Explained)
  11. Data-Driven Recruitment: Structured Vs. Unstructured Data (Compared)
  12. People Analytics Vs HR Metrics (Decoded)
  13. Algorithmic Vs. Heuristic Approach in Recruitment (Explained)
  14. Data-Driven Sourcing Vs. Traditional Sourcing (Decoded)
  15. Data-Driven Recruitment: Internal Vs External Data (Explained)
  16. Big Data Vs. Small Data in Recruitment (Explained)
  17. What Is A Data Driven Recruitment Process? (8 Most Common Questions Answered)
  18. Data-Driven Recruitment: Active Vs. Passive Candidates (Defined)
  19. Machine Learning Vs. AI in Recruitment (Compared)
  20. What Are the Challenges of Implementing Increased Objectivity in Recruiting? (9 Simple Questions Answered)

Predictive analytics models

  1. Data-Driven Recruitment: Internal Vs External Data (Explained)
  2. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)
  3. Machine Learning Vs. AI in Recruitment (Compared)
  4. What Are the Challenges of Implementing Predictive Analytics in Recruitment? (10 Important Questions Answered)

Predictive analytics tools

  1. Data-Driven Vs. Diversity Hiring (Unpacked)
  2. What Are the Challenges of Implementing Predictive Analytics in Recruitment? (10 Important Questions Answered)
  3. Data-Driven Sourcing Vs. Traditional Sourcing (Decoded)

Predictive data

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

Predictive data analysis

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

Predictive hiring

  1. Data-Driven Recruitment: Structured Vs. Unstructured Data (Compared)
  2. Data-Driven Sourcing Vs. Traditional Sourcing (Decoded)

Predictive hiring models

  1. Data-Driven Recruitment: Pre-Hire Vs. Post-Hire Metrics (Clarified)
  2. Data-Driven Recruitment: Quality Vs. Quantity (Compared)

Predictive hiring trends

  1. Data-Driven Sourcing Vs. Traditional Sourcing (Decoded)

Predictive modeling

  1. Data Mining Vs. Data Analysis in Recruitment (Decoded)
  2. Big Data Vs. Small Data in Recruitment (Explained)
  3. Data-Driven Recruitment: Skills Gap Vs. Vacancies (Explained)
  4. Talent Analytics Vs. HR Analytics (Unpacked)
  5. Applicant Tracking Vs. Recruitment Marketing (Defined)
  6. People Analytics Vs HR Metrics (Decoded)
  7. Predictive Vs. Descriptive Analytics in Recruitment (Defined)
  8. Data-Driven Sourcing Vs. Traditional Sourcing (Decoded)
  9. Data-Driven Vs. Intuitive Recruitment (Clarified)
  10. Real-Time Vs. Historical Data in Recruitment (Unpacked)
  11. Data-Driven Recruitment: Structured Vs. Unstructured Data (Compared)
  12. Machine Learning Vs. AI in Recruitment (Compared)

Predictive modeling methods

  1. Talent Analytics Vs. HR Analytics (Unpacked)

Pre-employment assessments

  1. Algorithmic Vs. Heuristic Approach in Recruitment (Explained)
  2. Data-Driven Vs. Intuitive Recruitment (Clarified)
  3. Data Mining Vs. Data Analysis in Recruitment (Decoded)
  4. Big Data Vs. Small Data in Recruitment (Explained)
  5. Predictive Vs. Descriptive Analytics in Recruitment (Defined)
  6. Cognitive Vs. Emotional Intelligence in Recruitment (Unpacked)
  7. Data-Driven Recruitment: Local Vs. Global (Decoded)
  8. Data-Driven Recruitment: Structured Vs. Unstructured Data (Compared)
  9. How Can I Ensure My Team Is Properly Organized During the Hiring Process? (10 Important Questions Answered)

Pre-employment assessment tests

  1. Talent Analytics Vs. HR Analytics (Unpacked)

Pre-employment Assessment Tools

  1. Data-Driven Recruitment: Structured Vs. Unstructured Data (Compared)

Pre-employment testing

  1. Data-Driven Recruitment: Quality Vs. Quantity (Compared)
  2. What Types of Pre-Employment Tests Should You Use? (9 Simple Questions Answered)
  3. What Is A Data Driven Recruitment Process? (8 Most Common Questions Answered)

Pre-hire metrics

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

Prejudice

  1. Analytical Thinking: How Can You Improve Your Skills? (9 Simple Questions Answered)
  2. Data-Driven Recruitment: AI Vs. Human Decisions (Unpacked)
  3. What Are the Challenges of Implementing Increased Objectivity in Recruiting? (9 Simple Questions Answered)
  4. How to Choose the Right Subtile Pattern for Your Video Interview? (10 Important Questions Answered)

Prescriptive data

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

Prescriptive data analysis

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

Principal component analysis (PCA)

  1. Data Mining Vs. Data Analysis in Recruitment (Decoded)
  2. Talent Analytics Vs. HR Analytics (Unpacked)

Probability sampling

  1. Qualitative Vs Quantitative Data in Recruitment (Deciphered)

Probing follow-up questions

  1. Qualitative Vs Quantitative Data in Recruitment (Deciphered)

Problem-solving

  1. How to Demonstrate Problem-Solving Skills in a Video Interview: What Questions Should I Prepare For? (9 Simple Questions Answered)
  2. Analytical Thinking: How Can You Improve Your Skills? (9 Simple Questions Answered)
  3. What Types of Scenario-Based Questions Should I Ask When Hiring Someone? (10 Important Questions Answered)
  4. What Types of Questions Should Be Included in a Personality Assessment? (10 Important Questions Answered)
  5. How Can I Use an IQ Test to Assess Problem-Solving Abilities? (9 Simple Questions Answered)
  6. What Type of Coding Challenges Should I Use When Hiring Someone? (10 Important Questions Answered)
  7. Creative Solutions: How Can You Think Outside the Box During a Video Interview? (10 Important Questions Answered)
  8. “Testing Technical Knowledge During an Interview: What Questions Should You Ask?”
    What types of questions can you ask to assess a candidate’s technical knowledge during an interview? (10 Important Questions Answered)
  9. What Type of Simple Shapes Work Best for Professional Development? (10 Important Questions Answered)
  10. What Questions Should Be Included in a Structured Interview? (10 Important Questions Answered)
  11. What Types of Questions are Used in Psychometric Assessments? (10 Important Questions Answered)
  12. What Type of Brainteasers Should I Use When Hiring Someone? (9 Simple Questions Answered)
  13. Cognitive Vs. Emotional Intelligence in Recruitment (Unpacked)
  14. “Logic Puzzles: How Can They Help Assess Problem-Solving Ability?”
    What Types of Logic Puzzles Are Best for Assessing Problem-Solving Ability? (5 Main Questions Answered)
  15. What Video Interview Questions Should I Expect When Getting Hired? (10 Important Questions Answered)
  16. What Video Interview Questions Should I Ask When Hiring Someone? (9 Simple Questions Answered)
  17. How to Effectively Delegate Responsibilities for Maximum Efficiency? (10 Important Questions Answered)
  18. Data-Driven Recruitment: AI Vs. Human Decisions (Unpacked)
  19. What Are the Most Important Leadership Traits to Assess in a Video Interview? (10 Important Questions Answered)
  20. What Types of Questions Should Be Included in an Interview Questionnaire? (10 Important Questions Answered)
  21. “How to Ensure Accurate Reference Checks When Hiring” – What Steps Should I Take to Ensure I Get Accurate Information? (10 Important Questions Answered)
  22. How Can Managers Encourage Productivity and Reduce Procrastination? (8 Most Common Questions Answered)
  23. How Can You Assess Technical Knowledge Through Debugging Exercises? (6 Common Questions Answered)
  24. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)
  25. How Can Taking Initiative Help You Succeed in a Video Interview? (9 Simple Questions Answered)
  26. What Types of Questions Should Be Included in a Competency-Based Assessment? (10 Important Questions Answered)

Problem-solving abilities

  1. How Can I Use an IQ Test to Assess Problem-Solving Abilities? (9 Simple Questions Answered)
  2. “Logic Puzzles: How Can They Help Assess Problem-Solving Ability?”
    What Types of Logic Puzzles Are Best for Assessing Problem-Solving Ability? (5 Main Questions Answered)
  3. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)
  4. What Types of Questions Should Be Included in an Interview Questionnaire? (10 Important Questions Answered)
  5. “Testing Technical Knowledge During an Interview: What Questions Should You Ask?”
    What types of questions can you ask to assess a candidate’s technical knowledge during an interview? (10 Important Questions Answered)
  6. What Video Interview Questions Should I Ask When Hiring Someone? (9 Simple Questions Answered)
  7. Cognitive Vs. Emotional Intelligence in Recruitment (Unpacked)
  8. What Video Interview Questions Should I Expect When Getting Hired? (10 Important Questions Answered)
  9. What Are the Most Important Leadership Traits to Assess in a Video Interview? (10 Important Questions Answered)
  10. Data-Driven Recruitment: Structured Vs. Unstructured Data (Compared)
  11. What Types of Questions Should Be Included in a Personality Assessment? (10 Important Questions Answered)
  12. What Types of Pre-Employment Tests Should You Use? (9 Simple Questions Answered)
  13. How to Demonstrate Problem-Solving Skills in a Video Interview: What Questions Should I Prepare For? (9 Simple Questions Answered)
  14. Qualitative Vs Quantitative Data in Recruitment (Deciphered)
  15. What Type of Simple Shapes Work Best for Professional Development? (10 Important Questions Answered)
  16. What Questions Should Be Included in a Structured Interview? (10 Important Questions Answered)
  17. What Types of Questions Should Be Included in a Competency-Based Assessment? (10 Important Questions Answered)
  18. How to Set Goals for Successful Hiring: What Questions Should You Ask? (10 Important Questions Answered)

Problem-solving capabilities

  1. Data-Driven Recruitment: Local Vs. Global (Decoded)
  2. How to Set Goals for Successful Hiring: What Questions Should You Ask? (10 Important Questions Answered)
  3. How Can I Use an IQ Test to Assess Problem-Solving Abilities? (9 Simple Questions Answered)
  4. “How to Ensure Accurate Reference Checks When Hiring” – What Steps Should I Take to Ensure I Get Accurate Information? (10 Important Questions Answered)
  5. What Types of Scenario-Based Questions Should I Ask When Hiring Someone? (10 Important Questions Answered)

Productivity metrics

  1. Data-Driven Recruitment: Hard Skills Vs. Soft Skills (Deciphered)
  2. People Analytics Vs HR Metrics (Decoded)

Professional license verification

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

Professional networking site

  1. Data-Driven Recruitment: Job Boards Vs. LinkedIn (Defined)
  2. Online Vs. Offline Data in Recruitment (Compared)

Profit margins

  1. Recruitment KPIs Vs. Business KPIs (Decoded)

Project management

  1. In-House Vs. Outsourced Data Analysis (Deciphered)
  2. What Type of Simple Shapes Work Best for Professional Development? (10 Important Questions Answered)
  3. ATS Vs. CRM in Data-Driven Recruitment (Clarified)
  4. “Testing Technical Knowledge During an Interview: What Questions Should You Ask?”
    What types of questions can you ask to assess a candidate’s technical knowledge during an interview? (10 Important Questions Answered)

Prospective employee database

  1. Talent Pool Vs. Candidate Pipeline (Clarified)

Pruning

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