Leading with People Analytics is designed to help students, in their role as general managers, learn how to use data to improve employee-related decisions and practices. The premise of the course is that effective leaders must understand how data can be used (and misused) to leverage people’s skills, talents, and insights. This premise is at the heart of the rapidly evolving field of people analytics, which organizations are embracing as they use data to inform every aspect of employee life.

In the course, students build hands-on skills by analyzing and interpreting data in ways that complement the frameworks and intuitions that normally guide managerial actions. By learning how to apply data-driven approaches, students will 1) come to appreciate the opportunities, limits, and tensions involved in using employee data, 2) gain deeper insight into the business issues in question, and 3) sharpen their ability to think critically through the lens of rigorous analytics.

Latest Assignment

LPA Blog Assignment

April 06, 2020

Read The Full Prompt

Organizations, from startups to multinationals to non-profits to sports teams, are using employee data in new and exciting ways. They are typically trying to improve efficiency, performance, or both, leading to a variety of intended and unintended consequences. Using employee data in new ways often has important implications for employee privacy, company transparency, ethics, and organizational culture.

Your assignment is to identify an article, blog post, or other public source of information about an issue related to People Analytics. This could be a description of an organization’s use of employee data in a particular way, commentary about the field as a whole, an opinion on a particular practice related to People Analytics, or anything else that is relevant to the field. For examples of articles related to the course, visit the PeopleAnalytics@Harvard website.

Write your own reaction to your chosen article in the form of a short blog post. What is your point of view about the issues in question? Are you a proponent? A skeptic? Does your article describe a particularly effective use of data that should be emulated by other organizations? Or do you think it describes an ineffective or troublesome practice? You should go beyond simply describing what is in the article and articulate your own point of view on the topic.

Create an approximately 600-word post to make your contribution on digital.hbs.edu by 6pm on Monday, April 6. Please include a link to the material you write about. Feel free to use graphics, data, videos, and links to other sites to corroborate your points.

After posting your own blog, please comment on three posts by other students by 6pm on Tuesday, April 14. Selected posts will be discussed in class.

If you have any problems with the digit.hbs.org platform, please email diplatform@hbs.edu for help, and visit the digital platform resources page for helpful advice.

Submitted (57)

Moneyball and Soccer
Georges Badawi
Posted on April 5, 2020 at 4:53 pm
Was Brad Pitt really onto something? How data analytics is changing the way soccer clubs scout and sign new players
Locked in by Algorithms?
Paula Álvarez
Posted on April 11, 2020 at 12:47 pm
In courts around the country, risk-assessment algorithms determine who gets bail and who has to stay locked up. Can we avoid perpetuating the systemic biases of the justice system with these automated tools?
The risks of collecting employee health data
Amina E
Posted on April 12, 2020 at 10:38 am
Link to article A Washington Post article from 2019 describes an increasing trend in employee wellness programs, with employers collecting detailed health data like step count, hours of sleep, and more. The article describes employers calling individual employees to congratulate [...]
Building Bridges with AI
AA
Last modified on April 12, 2020 at 11:26 pm
How the UN is using artificial intelligence and algorithms to facilitate more inclusive peace negotiations.
Uplevel: Quantifying Productivity in a Distracted World
GGL
Last modified on April 13, 2020 at 12:17 pm
Uplevel, a Seattle-based people analytics and productivity startup, emerged from stealth mode in January 2020 and announced a $7.5M seed financing from Madrona Venture Group, Norwest Venture Partners, and Voyager Capital.
People analytics during a pandemic: new opportunities?
tf
Posted on April 13, 2020 at 2:30 pm
As the SARS-CoV-2 pandemic pushes office work to digital platforms, employees are creating more, and more complete, communications data than ever before. Should companies view this as an opportunity to roll out new analytics tools?
AI as Talent Scout
Hanyin Cheng
Posted on April 13, 2020 at 3:29 pm
Using analytics to identify nontraditional job candidates who are as qualified and high performing as traditional candidates
Your Instagram Told Me So…
Jade Enns
Posted on April 13, 2020 at 3:47 pm
Social media data is being analyzed to measure employee engagement and to preempt dangerous student behavior. Should it be used to predict mental illness?
Digital Contact Tracing & COVID-19
Pallavi M
Posted on April 13, 2020 at 4:40 pm
In a desperate effort to #flattenthecurve, many countries have employed various forms of tracking technology to identify infected citizens and monitor quarantines. Should we be concerned?
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