Impara Employee Engagement Analysis | Analyzing Workforce Trends

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Employee engagement surveys are a vital tool for understanding how employees feel about their work, their organization, and their overall experience. These surveys typically measure various aspects of engagement, such as satisfaction with management, motivation to excel, alignment with company values, and sense of belonging. Common metrics found in engagement surveys include overall satisfaction, motivation, recognition, and work-life balance. By quantifying these dimensions, HR professionals can gauge how engaged the workforce is and pinpoint areas for improvement.


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import pandas as pd

# Sample engagement survey data
data = {
    "employee_id": [1, 2, 3, 4, 5],
    "satisfaction": [4, 5, 3, 4, 2],
    "motivation": [5, 4, 4, 3, 3],
    "recognition": [3, 4, 2, 5, 3]
}
df = pd.DataFrame(data)

# Calculate average satisfaction score
average_satisfaction = df["satisfaction"].mean()
print("Average Satisfaction Score:", average_satisfaction)

When you analyze engagement scores, you are looking for patterns that reveal how employees feel over time and across different groups. For instance, a consistently high satisfaction score suggests a positive work environment, while declining motivation scores could signal emerging issues. By comparing scores across departments or time periods, you can identify which teams are thriving and which may need targeted interventions. Spotting trends—such as a drop in recognition scores after organizational changes—enables HR to respond proactively and maintain a healthy workplace culture.


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import matplotlib.pyplot as plt

# Simulate engagement scores over 5 time periods
time_periods = ["Q1", "Q2", "Q3", "Q4", "Q5"]
satisfaction_scores = [3.8, 4.0, 4.1, 3.9, 4.2]

plt.plot(time_periods, satisfaction_scores, marker="o", label="Satisfaction")
plt.title("Employee Satisfaction Over Time")
plt.xlabel("Quarter")
plt.ylabel("Average Satisfaction Score")
plt.ylim(0, 5)
plt.legend()
plt.grid(True)
plt.show()

1. What is one metric commonly measured in engagement surveys?

2. Fill in the blank: To plot engagement scores over time, use the _ _ _ function in matplotlib.

3. Why is tracking engagement over time valuable for HR?

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