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Every year for the past ten years, Glassdoor announces the top places to work all across North America and parts of Europe. The most unique part of this award? You can only win the award if your employees say so.

 

Glassdoor's methodology for the award includes a collection of anonymous company reviews where employees share their honest opinion on pros and cons of working for the company, overall satisfaction, the CEO, and workplace attributes. They're also asked if they would recommend their employer to a friend. It's a juicy turn of the tables.

 

Within the top 100 best places to work for, the industries that came out on top were tech, retail, healthcare, consulting, finance, and travel and tourism. The top cities included the Bay Area, Boston, and Los Angeles (just to name a few). So, what does it take to be the top of the top?

Via The Learning Factor

Via The Learning Factor

When we find our work meaningful and worthwhile, we are more likely to enjoy it, to be more productive, and feel committed to our employers and satisfied with our jobs. For obvious reasons, then, work psychologists have been trying to find out what factors contribute to people finding more meaning in their work.

 

Top of the list is what they call “task significance”, which in plain English means believing that the work you do is of benefit to others. However, to date, most of the evidence for the importance of task significance has been correlational – workers who see how their work is beneficial to others are more likely to find it meaningful, but that doesn’t mean that task significance is causing the feelings of meaningfulness.

 

Now Blake Allan at Purdue University has provided some of the first longitudinal evidence that seeing our work as benefiting others really does lead to an increase in our finding it meaningful. “These results are important both for the wellbeing of individual workers and as a potential avenue to increase productivity,” he concludes in the Journal of Vocational Behaviour.

Via The Learning Factor

Wasting time is one of the biggest reasons you aren't more successful right now. Review how you've spent your time today, and you'll likely find plenty of unproductive time that you may not have even spent relaxing or preparing to be productive later.

 

Simply planning your day can make a big difference. Science has a lot to say about this. For example, it turns out that our willpower may be better earlier in the day and we need to take advantage of that.

 

The idea is that planning creates a guideline the brain wants to stick to. Here's more on how that helps create success, as well as some other approaches that can help.

Via The Learning Factor

According to a seven-year study on workers’ performance, an inability to make this break between professional and personal time ranked among the top-10 stressful situations that people were least effective at handling. Technology has, of course, exacerbated the problem, offering both convenience and imposition, by putting our workplaces just a touch screen away. How can we all do a better job of leaving work at work, so our home lives become more pleasurable and less stressful?

Before leaving the office…

 

Do one more small task. Make a short phone call, sign a document, or respond to an email. This way you end your day on a positive note of completion. There’s gratification in knowing that you elected to push yourself and now have one less thing to do the following morning. And, as research from Teresa Amabile and Steven Kramer, authors of The Progress Principle, has shown even “small wins” can enhance your mood.

 

Write a to-do list. On paper or digitally, make a record of all the tasks you need to accomplish, ideally in order of importance. When my organization worked with the New York Presbyterian Hospital Cornell Medical Center to survey more than 1,000 workers living in the northeast we found that the practice of building such lists was among the top three most effective skills for enhancing work performance and positively redirecting stress.

Via The Learning Factor

Via The Learning Factor