Welcome. The Working Best Awards are the only AI-driven, data-based recognition of employee retention. The 2021 Retention Leader winners were selected using proprietary algorithms that predict the likelihood of professional and knowledge worker employees being interested in external job opportunities or unsolicited recruiting messages.
There were only 8 Retention Leader winners out of the Fortune 100 who met the stringent requirements to be a Workforce Logiq Working Best Award recipient.
The Workforce Logiq WORKING BEST AWARD – EMPLOYEE RETENTION LEADER is based on our proprietary Talent Retention Risk (TRR) ScoreSM. TRRSM 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, critical factors in determining retention statistics. TRR Scores are used to predict how likely an organization’s professional and knowledge worker candidates are to be interested in exploring external job opportunities – and be open to unsolicited recruiting messages.
Factors that are considered in the Talent Retention Risk Score AI models include:
A recent article in Harvard Business Review, Better Ways to Predict Who’s Going to Quit, validated that candidates with scores indicating a high likelihood of receptivity to external job opportunities were twice as open to unsolicited recruitment messages and 63% more likely to change jobs, as compared to those who were predicted “unlikely” to be receptive. TRR scores are calculated and updated daily for over 6 million organizations in Workforce Logiq’s proprietary database.
The EMPLOYEE RETENTION LEADER rankings were based on full-year calculations for those companies identified as Fortune 100 – or the top 100 organizations in the United States as defined by their annual revenue. To qualify, winners were required to have an average annual TRR score below 45; no single month score during the year could have a TRR Score higher than 50.
Talent Retention Risk Scores do not use candidate-level social media, online search history, or other personal information, including protected class data. We perform 4-part validated discrimination testing (plus annual retesting), designed and reviewed with outside counsel to (1) Ensure parameters are free of bias, (2) Review historical data for any hidden bias, (3) Audit results for any statistically significant disparate impact, and (4) Track how users utilize the AI results. Our Key Science and Industry Advisors also provide independent perspectives on our ethical use of data science and algorithms.
Likely to ENGAGE categories are based on our proprietary Talent Retention Risk (TRR) ScoreSM. TRRSM 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:
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.
Cardinal Health, Inc.
Pharmaceuticals Wholesale
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 categories are based on our proprietary Talent Retention Risk (TRR) ScoreSM. TRRSM 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:
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.
Northrop Grumman Corporation
Aerospace Products and Parts
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 categories are based on our proprietary Talent Retention Risk (TRR) ScoreSM. TRRSM 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:
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.
Merck & Co., Inc.
Diversified Pharmaceuticals
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 categories are based on our proprietary Talent Retention Risk (TRR) ScoreSM. TRRSM 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:
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.
Pfizer Inc.
Diversified Pharmaceuticals
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 categories are based on our proprietary Talent Retention Risk (TRR) ScoreSM. TRRSM 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:
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.
Verizon Communications Inc.
Telecommunications Services
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 categories are based on our proprietary Talent Retention Risk (TRR) ScoreSM. TRRSM 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:
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.
Lockheed Martin Corporation
Aircraft Manufacturing
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 categories are based on our proprietary Talent Retention Risk (TRR) ScoreSM. TRRSM 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:
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.
The Procter & Gamble Company
Personal Products
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 categories are based on our proprietary Talent Retention Risk (TRR) ScoreSM. TRRSM 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:
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.
Best Buy Co., Inc.
Electronics Retail
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.
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