Skip to content

How employers are responding to COVID-19: Work from home policies


Share

Alight recently conducted a brief survey to get a pulse on how employers across the U.S. are responding to COVID-19. We’ll continue to share our findings here, so check back regularly for the latest insights.
 
Today, we’re sharing some early prevalence on mandatory work-from-home policies.

Has your organization already implemented a mandatory work-from-home policy?

Yes
23%
No
77%
0
100

23% of employers have already mandated a work-from-home policy, while 77% of organizations have not. Among those organizations that currently do not have a mandatory work-from-home policy, 73% are considering implementing one.

If your organization is considering or has already implemented a mandatory work-from-home policy, who does it apply to?

Only employees who have the ability to do so
62%
All employees
17%
Employees who use public transportation for their commute
1%
Other
26%
0
100

Among those that have already implemented a work-from-home policy, nearly half of organizations (46%) say it includes employees that already have the ability to work-from-home. One-third of organizations with a mandatory policy say it applies to all employees.
 
Many employers also reported having workers in roles that cannot be performed from home – health care workers, manufacturing, etc.
 

Survey based on 162 respondents, spread across all employer sizes

Related reads


Insights on Alight’s Universe Benchmarks Report 2022

The Universe Benchmarks report summarizes retirement savings and investing behavior data from over 100 plans covering 3 million eligible workers.

Fostering trust, enabling choice: The nuances behind Asian American benefit preferences

A significant number of Asian American employees with the most experience and organizational prestige don’t see the employee benefits their company offers as worth the cost.

Reducing payer costs for elective surgeries with AI and predictive analytics

John’s story is representative of many patients today. It is also one reason a growing number of health plans, providers, and payers are exploring how artificial intelligence (AI) and predictive analytics can be used to identify patients like John earlier in the decision-making process.