You know the type: coworkers who never have anything positive to say, whether at the weekly staff meeting or in the cafeteria line. They can suck the energy from a brainstorming session with a few choice comments. Their negativity can contaminate even good news. "We engage in emotional contagion," says Wharton management professor Sigal Barsade. "Emotions travel from person to person like a virus." Barsade is the co-author of a new paper that looks at the impact of employees' moods, emotions, and overall dispositions on job performance.

In this post, I share my thoughts on the article, “Employee mood measurement trends” by Tom Haak, which amongst other things, describes three main means of measuring employee mood: traditional surveys, simple daily feedback tools, and passive data mining of employee online communications (emails, Slack, Yammer etc.). I share my assessment of each method. Furthermore, I discuss why passive communications mining is likely to generate data that is unrepresentative of employee mood. Instead, it is more suited for analyzing supervisor effectiveness, which is a leading indicator and arguably the most important determinant of employee mood (the symptom). Finally, I opine that analyzing supervisor effectiveness through communications data mining could be combined with traditional employee mood surveys to generate actionable insights to improve overall employee performance.

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