Answered

Turnover Associate Survey




\multicolumn{2}{|l|}{Overall Satisfaction}		\multicolumn{2}{|l|}{Satisfaction with Supervisor}\multicolumn{2}{|c|}{Satisfaction with Schedule}\multicolumn{2}{|c|}{Satisfaction with Safety}

This Year		Last YearThis YearLast YearThis YearLast YearThis YearLast Year

3.7		3.94.24.44.14.22.93.0

4.0		4.14.64.23.73.73.64.5

4.0		3.94.74.43.23.54.03.7

4.3		4.44.04.34.64.54.34.4

\multicolumn{2}{|l|}{I recommend Walmart as a great place to work}		\multicolumn{2}{|c|}{I have the tools necessary to succeed at my job}\multicolumn{2}{|c|}{I can give feedback without fear of retaliation}\multicolumn{2}{|c|}{I know what I need to do to be successful in my role}

This Year		Last YearThis YearLast YearThis YearLast YearThis YearLast Year

3.6		3.83.74.02.72.82.62.9

4.1		4.33.84.14.44.23.83.0

3.9		4.04.54.64.23.93.63.7

3.1		2.83.63.62.22.12.83.1






Items are rated on a 1-5 scale with a ranking of 5 for "strongly agree" and 1 for "strongly disagree".

The goal for all item scores is 4.0 out of 5.0.

Verified Answer :

  • Calculate the average score for each of the 8 survey items using the formula \(\frac{\text{Sum of 4 ratings}}{4}\).
  • Compare each calculated average to the target threshold of 4.0.
  • Identify the items "Overall Satisfaction" (4.0) and "Satisfaction with Supervisor" (4.375) as the only two that meet the goal.
  • Final answer: \(\boxed{\text{Overall Satisfaction, Satisfaction with Supervisor}}\).

Explanation

  1. Problem Analysis and Methodology

The objective is to identify which of the 8 survey items achieved an average score of 4.0 or higher for "This Year". We are given 4 ratings for each item in the "This Year" category. The average score \(A\) for each item is calculated as the sum of its four ratings divided by 4:
\[A = \frac{v_1 + v_2 + v_3 + v_4}{4}\]
We will calculate this average for each item and compare it to the target of 4.0.

  1. Calculating Average Scores

Using the provided data, we calculate the average score for each survey item:

  1. Overall Satisfaction: \(\frac{3.7 + 4.0 + 4.0 + 4.3}{4} = \frac{16.0}{4} = 4.0\)
  2. Satisfaction with Supervisor: \(\frac{4.2 + 4.6 + 4.7 + 4.0}{4} = \frac{17.5}{4} = 4.375\)
  3. Satisfaction with Schedule: \(\frac{4.1 + 3.7 + 3.2 + 4.6}{4} = \frac{15.6}{4} = 3.9\)
  4. Satisfaction with Safety: \(\frac{2.9 + 3.6 + 4.0 + 4.3}{4} = \frac{14.8}{4} = 3.7\)
  5. Recommend Walmart: \(\frac{3.9 + 3.9 + 3.8 + 2.7}{4} = \frac{14.3}{4} = 3.575\)
  6. Tools necessary: \(\frac{3.7 + 3.8 + 4.5 + 3.6}{4} = \frac{15.6}{4} = 3.9\)
  7. Feedback without fear: \(\frac{2.7 + 4.4 + 4.2 + 2.2}{4} = \frac{13.5}{4} = 3.375\)
  8. Know what to do: \(\frac{2.6 + 3.8 + 3.6 + 2.8}{4} = \frac{12.8}{4} = 3.2\)
  1. Conclusion

We compare each average score to the goal of 4.0:

  • Overall Satisfaction: \(4.0 \geq 4.0\) (Goal met)
  • Satisfaction with Supervisor: \(4.375 \geq 4.0\) (Goal met)
  • Satisfaction with Schedule: \(3.9 < 4.0\) (Goal not met)
  • Satisfaction with Safety: \(3.7 < 4.0\) (Goal not met)
  • Recommend Walmart: \(3.575 < 4.0\) (Goal not met)
  • Tools necessary: \(3.9 < 4.0\) (Goal not met)
  • Feedback without fear: \(3.375 < 4.0\) (Goal not met)
  • Know what to do: \(3.2 < 4.0\) (Goal not met)

The items that met the goal are "Overall Satisfaction" and "Satisfaction with Supervisor". The final answer is \(\boxed{\text{Overall Satisfaction, Satisfaction with Supervisor}}\).

Examples

In business and organizational management, calculating averages is a fundamental way to assess performance against key metrics. For example, a company might survey its employees about various aspects of their work to identify areas needing improvement. By calculating the average rating for categories like "Satisfaction with Supervisor" or "Tools necessary to succeed," management can pinpoint specific strengths or weaknesses. If a goal is set to ensure every category meets a benchmark (e.g., an average of 4.0), data analysis helps determine where resources, training, or process changes are necessary to bridge the gap. This quantitative approach allows for data-driven decisions that can improve organizational health and associate experience.