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Executive Summary.
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- Part 1: Burnout Analysis: Bar Graphs
According to the results, Female participants, particularly 21 female participants, are
experiencing the most “Pretty wiped out almost every day” burnout level; only six male
participants related to this category. Therefore, from this bar graph and the research question,
female employees are the most overworked.
The researcher asked the participants how stressed they were at home, and 50 years
and over, male participants experienced the stress level “A little stress that would be expected
with the ups and downs of life” at home the most. For this research question, as the age of the
participants increased, the number of participants who could relate to this category (“A little
stress that would be expected with the ups and downs of life”) also increased. Only one male
participant between 20-29 selected the category, seven male participants between 30-39
selected the category, and 13 40-49-year-old male participants selected the category; this
means there is a positive trend, which is not the same for female participants.
The next question was if the participants loved what they did, and the question was
answered according to the rank the participants held in their workplace. Managers agreed
most with this statement. Only one individual contributor agreed with the category, five
executives and eight directors. Despite these results, there seem to be more managers who
participated in the survey, and therefore bar graphs were not the best way of presenting these
results. Instead, we should have used a pie chart that compared the results in percentages
(Brekke, 2016). This is because selecting the same number of participants for each rank
would have caused internal validity and homogeneity of variance problems later in the
research. The effect size for managers would also probably not be powerful enough (Littler,
2018).
The next research question asked what the current level of burnout at work was. Here
the predictor variables were gender and tenure. The gender with the lowest number of
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responses with a tenure of 5+ years was females: only one participant could relate to the
category, unlike the three male participants who related to the category.
Part 2: Executive Summary. Create an Executive Summary of your results. - Purpose and respondents: Explain the purpose of the executive summary and
briefly describe the survey respondents.
The survey respondents in this research are 20 years and above; they are both male
and females with tenures from one year and above. The participants are directors, executives,
individual contributors, and managers with families or homes.
The executive summary aims to analyse the results of the bar graphs that show the
burnout levels for employees in the company. The employees in the company are
complaining that they are getting overworked, and the company would like to find out to
what level and are open to any suggestions that will resolve the problem. Bar graphs are the
best way of evaluating the results of a study like this one. In most cases, it is difficult for the
data from bar graphs to suffer from generalization, and any small changes or mistakes
(outliers) can be observed. The researcher can also establish the distribution of the data from
bar graphs.
4 - Results: Summarize your bar graph analyses and answer the questions they
represent. Add corresponding bar graphs to relevant sections of the summary to
illustrate your analyses.
What is the current level of burnout at work?
From the bar graph in this question, we can tell that most male and female participants
are usually worn out on most days. Still, a significant number of participants, especially
females, are pretty swamped on most days. Here, it is safe to conclude that most participants
(especially female participants) feel overworked on most days.
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How stressed are you at home?
From the bar graph, we can already tell that most participants are 30 years and above.
We can also see that as the age of the participant’s increases, the level at which they are
stressed out from home decreases; maybe it is because the young employees are still raising
their kids, and the older participants children are older, and now they mostly worry about
themselves (Hsu, 2018); since this is just an assumption am suggesting further research be
done on the area.
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I love what I do.
From the bar graph, we can tell that most people love what they do. However,
managers and executives have a significant number of participants who do not know if they
like or dislike what they do. As previously stated, most participants in this survey are
managers, but most of them love what they do.
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What is your current level of burnout at work?
From the bar graph, we can tell that most participants are a bit worn out at the end of
the day (especially male participants in a 2–5-year tenure and female participants in a 5+ year
tenure). Still, a significant number of participants are usually pretty wiped out at the end of
the day, especially female participants throughout the classification’s tenure. It is safe to
assume that most participants are worn out at the end of the day. However, most times,
female participants are usually pretty worn out at the end of the day.
8 - Recommendations: Based on your analysis, recommend two areas the company
can focus on to reduce employee burnout.
My first recommendation is to reconsider the division of labor between men and
women. Women, for some reason, seem to be more overworked than males. The company
should do some further research on this and find out why this is the case. After they find out
what the problem is, they should then reconsider the division of labour.
My second recommendation is to investigate why younger employees experience
more stress at home. Then maybe reduce the amount of work carried back at home, increase
more off days, offer more counselling services for younger employees, or any other
adjustment that involves spending more time with their family or providing more for their
family.
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References
Brekke, V. (2016, April 16). When to use a bar chart instead of a pie chart. Blog frontpage |
Highcharts. https://www.highcharts.com/blog/tutorials/207-when-to-use-a-bar-chartinstead-of-a-pie-chart/
Hsu, H. (2018, December 25). Age differences in work stress, exhaustion, well-being, and
related factors from an ecological perspective. PubMed Central (PMC).
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338997/
Littler, S. (2018, June 19). The importance and effect of sample size. Select Statistical
Consultants. https://select-statistics.co.uk/blog/importance-effect-sample-size/
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