Likely to ENGAGE Score

Likely to ENGAGE categories are based on our proprietary Talent Retention Risk (TRR) Score^SM. TRR^SM Scores use multiple AI techniques and patent-pending models to calculate industry, company, and candidate-specific benchmarks to predict how various factors contribute to employment stability and volatility, including how likely a professional and knowledge worker candidate is to be interested in exploring other job opportunities – and be open to unsolicited recruiting messages.

Factors that are considered in the AI models include:

• Macroeconomic trends
• Company-level social media and news sentiment
• Employee churn indicators (i.e. leadership changes, layoff announcements, job posting trends, job tenure)
• Other industry news and events
• Other factors proven to be correlated with workforce volatility

While Retention Leader winners were selected based on average annual scores, their December 2019 Likely to ENGAGE results are predictors for Q1 2020 employee volatility – and stability.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

ENGAGE 5D Profile^SM

The ENGAGE 5D Profile is a proprietary predictor of those employee-specific workplace characteristics that will maximize job attraction. Dimension prioritization and ranking for candidates are based on publicly available model inputs with high job volatility correlation, including professional academic histories, prior work environments, and dynamic market changes impacting their current employer, business sector, and job category level.

The 5D Profile relative score rankings are used to optimize both recruitment and retention messaging to maximize response rates and candidate and employee engagement.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

Likely to ENGAGE Score

Likely to ENGAGE categories are based on our proprietary Talent Retention Risk (TRR) Score^SM. TRR^SM Scores use multiple AI techniques and patent-pending models to calculate industry, company, and candidate-specific benchmarks to predict how various factors contribute to employment stability and volatility, including how likely a professional and knowledge worker candidate is to be interested in exploring other job opportunities – and be open to unsolicited recruiting messages.

Factors that are considered in the AI models include:

• Macroeconomic trends
• Company-level social media and news sentiment
• Employee churn indicators (i.e. leadership changes, layoff announcements, job posting trends, job tenure)
• Other industry news and events
• Other factors proven to be correlated with workforce volatility

While Retention Leader winners were selected based on average annual scores, their December 2019 Likely to ENGAGE results are predictors for Q1 2020 employee volatility – and stability.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

ENGAGE 5D Profile^SM

The ENGAGE 5D Profile is a proprietary predictor of those employee-specific workplace characteristics that will maximize job attraction. Dimension prioritization and ranking for candidates are based on publicly available model inputs with high job volatility correlation, including professional academic histories, prior work environments, and dynamic market changes impacting their current employer, business sector, and job category level.

The 5D Profile relative score rankings are used to optimize both recruitment and retention messaging to maximize response rates and candidate and employee engagement.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

Likely to ENGAGE Score

Likely to ENGAGE categories are based on our proprietary Talent Retention Risk (TRR) Score^SM. TRR^SM Scores use multiple AI techniques and patent-pending models to calculate industry, company, and candidate-specific benchmarks to predict how various factors contribute to employment stability and volatility, including how likely a professional and knowledge worker candidate is to be interested in exploring other job opportunities – and be open to unsolicited recruiting messages.

Factors that are considered in the AI models include:

• Macroeconomic trends
• Company-level social media and news sentiment
• Employee churn indicators (i.e. leadership changes, layoff announcements, job posting trends, job tenure)
• Other industry news and events
• Other factors proven to be correlated with workforce volatility

While Retention Leader winners were selected based on average annual scores, their December 2019 Likely to ENGAGE results are predictors for Q1 2020 employee volatility – and stability.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

ENGAGE 5D Profile^SM

The ENGAGE 5D Profile is a proprietary predictor of those employee-specific workplace characteristics that will maximize job attraction. Dimension prioritization and ranking for candidates are based on publicly available model inputs with high job volatility correlation, including professional academic histories, prior work environments, and dynamic market changes impacting their current employer, business sector, and job category level.

The 5D Profile relative score rankings are used to optimize both recruitment and retention messaging to maximize response rates and candidate and employee engagement.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

Likely to ENGAGE Score

Likely to ENGAGE categories are based on our proprietary Talent Retention Risk (TRR) Score^SM. TRR^SM Scores use multiple AI techniques and patent-pending models to calculate industry, company, and candidate-specific benchmarks to predict how various factors contribute to employment stability and volatility, including how likely a professional and knowledge worker candidate is to be interested in exploring other job opportunities – and be open to unsolicited recruiting messages.

Factors that are considered in the AI models include:

• Macroeconomic trends
• Company-level social media and news sentiment
• Employee churn indicators (i.e. leadership changes, layoff announcements, job posting trends, job tenure)
• Other industry news and events
• Other factors proven to be correlated with workforce volatility

While Retention Leader winners were selected based on average annual scores, their December 2019 Likely to ENGAGE results are predictors for Q1 2020 employee volatility – and stability.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

ENGAGE 5D Profile^SM

The ENGAGE 5D Profile is a proprietary predictor of those employee-specific workplace characteristics that will maximize job attraction. Dimension prioritization and ranking for candidates are based on publicly available model inputs with high job volatility correlation, including professional academic histories, prior work environments, and dynamic market changes impacting their current employer, business sector, and job category level.

The 5D Profile relative score rankings are used to optimize both recruitment and retention messaging to maximize response rates and candidate and employee engagement.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

Likely to ENGAGE Score

Likely to ENGAGE categories are based on our proprietary Talent Retention Risk (TRR) Score^SM. TRR^SM Scores use multiple AI techniques and patent-pending models to calculate industry, company, and candidate-specific benchmarks to predict how various factors contribute to employment stability and volatility, including how likely a professional and knowledge worker candidate is to be interested in exploring other job opportunities – and be open to unsolicited recruiting messages.

Factors that are considered in the AI models include:

• Macroeconomic trends
• Company-level social media and news sentiment
• Employee churn indicators (i.e. leadership changes, layoff announcements, job posting trends, job tenure)
• Other industry news and events
• Other factors proven to be correlated with workforce volatility

While Retention Leader winners were selected based on average annual scores, their December 2019 Likely to ENGAGE results are predictors for Q1 2020 employee volatility – and stability.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

ENGAGE 5D Profile^SM

The ENGAGE 5D Profile is a proprietary predictor of those employee-specific workplace characteristics that will maximize job attraction. Dimension prioritization and ranking for candidates are based on publicly available model inputs with high job volatility correlation, including professional academic histories, prior work environments, and dynamic market changes impacting their current employer, business sector, and job category level.

The 5D Profile relative score rankings are used to optimize both recruitment and retention messaging to maximize response rates and candidate and employee engagement.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

Likely to ENGAGE Score

Likely to ENGAGE categories are based on our proprietary Talent Retention Risk (TRR) Score^SM. TRR^SM Scores use multiple AI techniques and patent-pending models to calculate industry, company, and candidate-specific benchmarks to predict how various factors contribute to employment stability and volatility, including how likely a professional and knowledge worker candidate is to be interested in exploring other job opportunities – and be open to unsolicited recruiting messages.

Factors that are considered in the AI models include:

• Macroeconomic trends
• Company-level social media and news sentiment
• Employee churn indicators (i.e. leadership changes, layoff announcements, job posting trends, job tenure)
• Other industry news and events
• Other factors proven to be correlated with workforce volatility

While Retention Leader winners were selected based on average annual scores, their December 2019 Likely to ENGAGE results are predictors for Q1 2020 employee volatility – and stability.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

ENGAGE 5D Profile^SM

The ENGAGE 5D Profile is a proprietary predictor of those employee-specific workplace characteristics that will maximize job attraction. Dimension prioritization and ranking for candidates are based on publicly available model inputs with high job volatility correlation, including professional academic histories, prior work environments, and dynamic market changes impacting their current employer, business sector, and job category level.

The 5D Profile relative score rankings are used to optimize both recruitment and retention messaging to maximize response rates and candidate and employee engagement.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

Likely to ENGAGE Score

Likely to ENGAGE categories are based on our proprietary Talent Retention Risk (TRR) Score^SM. TRR^SM Scores use multiple AI techniques and patent-pending models to calculate industry, company, and candidate-specific benchmarks to predict how various factors contribute to employment stability and volatility, including how likely a professional and knowledge worker candidate is to be interested in exploring other job opportunities – and be open to unsolicited recruiting messages.

Factors that are considered in the AI models include:

• Macroeconomic trends
• Company-level social media and news sentiment
• Employee churn indicators (i.e. leadership changes, layoff announcements, job posting trends, job tenure)
• Other industry news and events
• Other factors proven to be correlated with workforce volatility

While Retention Leader winners were selected based on average annual scores, their December 2019 Likely to ENGAGE results are predictors for Q1 2020 employee volatility – and stability.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

ENGAGE 5D Profile^SM

The ENGAGE 5D Profile is a proprietary predictor of those employee-specific workplace characteristics that will maximize job attraction. Dimension prioritization and ranking for candidates are based on publicly available model inputs with high job volatility correlation, including professional academic histories, prior work environments, and dynamic market changes impacting their current employer, business sector, and job category level.

The 5D Profile relative score rankings are used to optimize both recruitment and retention messaging to maximize response rates and candidate and employee engagement.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

Likely to ENGAGE Score

Likely to ENGAGE categories are based on our proprietary Talent Retention Risk (TRR) Score^SM. TRR^SM Scores use multiple AI techniques and patent-pending models to calculate industry, company, and candidate-specific benchmarks to predict how various factors contribute to employment stability and volatility, including how likely a professional and knowledge worker candidate is to be interested in exploring other job opportunities – and be open to unsolicited recruiting messages.

Factors that are considered in the AI models include:

• Macroeconomic trends
• Company-level social media and news sentiment
• Employee churn indicators (i.e. leadership changes, layoff announcements, job posting trends, job tenure)
• Other industry news and events
• Other factors proven to be correlated with workforce volatility

While Retention Leader winners were selected based on average annual scores, their December 2019 Likely to ENGAGE results are predictors for Q1 2020 employee volatility – and stability.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.

ENGAGE 5D Profile^SM

The ENGAGE 5D Profile is a proprietary predictor of those employee-specific workplace characteristics that will maximize job attraction. Dimension prioritization and ranking for candidates are based on publicly available model inputs with high job volatility correlation, including professional academic histories, prior work environments, and dynamic market changes impacting their current employer, business sector, and job category level.

The 5D Profile relative score rankings are used to optimize both recruitment and retention messaging to maximize response rates and candidate and employee engagement.

Please note that Workforce Logiq does not use candidate-level social media, online search history, or other personal information, including protected class data in any of its algorithms.