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• Supplement | HBS Case Collection | March 2020

  People Analytics at Teach For America (B)

  Jeff Polzer and Julia Kelley

  This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, Managing Director Michael Metzger must decide how to extend his team’s predictive analytics work using Natural Language Processing (NLP) techniques.

  Keywords: Data and Data Sets; Forecasting and Prediction; Recruitment;

  Citation:

  Polzer, Jeff, and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 420-086, March 2020.  View Details

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• Case | HBS Case Collection | February 2018 (Revised March 2020)

  People Analytics at Teach For America (A)

  Jeffrey T. Polzer and Julia Kelley

  As of mid-2016, national nonprofit Teach For America (TFA) had struggled with three consecutive years of declining application totals, and senior management was re-examining the organization’s strategy, including recruitment and selection. A few months earlier, former TFA corps member Michael Metzger had spearheaded the launch of a predictive analytics team responsible for integrating strategy across TFA’s recruitment and admissions continuum. Metzger believed that predictive analytics could help address TFA’s recruitment and admissions challenges. Now, TFA’s senior management wanted Metzger and his team to put their data models to the test. From a data modeling standpoint, what variables and models should TFA consider as it began a new recruitment season, and more generally, how heavily should TFA rely on predictive models to reverse the negative trends?

  Keywords: Recruitment; Selection and Staffing; Analysis; Forecasting and Prediction;

  Citation:

  Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (A)." Harvard Business School Case 418-013, February 2018. (Revised March 2020.)  View Details

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• Case | HBS Case Collection | January 2018 (Revised January 2020)

  People Analytics at McKinsey

  Jeffrey T. Polzer and Olivia Hull

  A private equity-backed fast food chain has hired McKinsey’s new People Analytics group to help it improve performance. As the final client workshop approaches, Associate Partner Alex DiLeonardo ponders the best way to present the team’s findings, especially those that conflict with the client executives’ long-held intuitions. If successful, the project would help People Analytics build its reputation both internally and with clients. But to be successful, DiLeonardo knows his team must convince the client that their results are credible and actionable.
  In addition to discussing the specifics of the fast food project, the case also provides an overview of the people analytics field more broadly through the lens of McKinsey’s client portfolio.

  Keywords: Talent and Talent Management; Customer Relationship Management; Forecasting and Prediction; Cost Management; Human Resources; Employees; Recruitment; Retention; Selection and Staffing; Measurement and Metrics; Performance; Performance Capacity; Performance Efficiency; Performance Evaluation; Performance Improvement; Consulting Industry; Service Industry;

  Citation:

  Polzer, Jeffrey T., and Olivia Hull. "People Analytics at McKinsey." Harvard Business School Case 418-023, January 2018. (Revised January 2020.)  View Details

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