Tableau for Data Analytics (Short & Focused)
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SUBMISSION: Full Dashboard

Build a complete Tableau Story with 3–5 story points that tells a data narrative. Your submission should include: an overview dashboard with interactive filters, drill-down views using dashboard actions (filter, highlight, navigation, set, or parameter), captions explaining key insights, and a conclusion story point summarizing your findings. Export as a .twbx file.

33 minutesProject submission
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Assignment Instructions

📥 Data Source

⬇ Download HR Analytics Dataset (.csv)

500 employee records with Department, Team, Job Level, Location, Age, Education, Salary, Performance Rating, Job Satisfaction, Training Hours, Overtime status, and Attrition (Yes/No). Investigate what drives employee attrition.


📋 Assignment Instructions

Build a Tableau Story (3–5 story points) that presents a data-driven narrative about employee attrition. Imagine you're presenting to the company's leadership team.

Story Point 1: The Big Picture

  1. Overview Dashboard — build a dashboard showing:
    • KPI cards: Total Employees, Attrition Rate, Avg Satisfaction, Avg Salary
    • Attrition Rate by Department (bar chart)
    • Employee count by Location (map or bar chart)
    • Department filter that updates all views
  2. Caption: Write a story point caption summarizing the overall attrition rate and which departments are most affected.

Story Point 2: Who's Leaving?

  1. Attrition Profile Dashboard — build views showing:
    • Attrition Rate by Job Level (bar chart)
    • Attrition Rate by Years at Company (line chart — do new hires leave more?)
    • Age distribution of attrited vs retained employees (histogram or box plot)
  2. Add highlight actions — hovering over "Yes" or "No" in one chart highlights the same group in other charts.
  3. Caption: Summarize the profile of employees who leave (e.g., "Junior employees in their first 2 years are 3x more likely to leave").

Story Point 3: Root Causes

  1. Drivers Dashboard — investigate correlations:
    • Satisfaction vs Attrition (what satisfaction score is the tipping point?)
    • Performance Rating vs Attrition (are low performers leaving, or high performers?)
    • Overtime vs Attrition (scatter or bar chart)
    • Training Hours vs Attrition (does training help retain?)
  2. Caption: Present your findings about what drives attrition.

Story Point 4: Salary Deep-Dive (Optional but Recommended)

  1. Compensation Analysis — show salary distribution by Department, Job Level, and Attrition status. Are employees who leave paid less than those who stay?
  2. Use a reference line or band — show the median salary and highlight employees below it.

Story Point 5: Recommendations

  1. Summary Dashboard — create a clean final view with:
    • Top 3 risk factors for attrition (from your analysis)
    • Departments/teams to prioritize
    • Suggested actions (e.g., "Focus retention programs on Junior employees in their first year")
    You can use text boxes and formatted labels for this.
  2. Caption: Write a concluding recommendation.

📐 Story Formatting Requirements

  • Use Dashboard Actions: at least 1 filter action and 1 highlight action
  • Write captions for each story point explaining the narrative
  • Use a consistent color scheme — e.g., red for attrited employees, blue for retained
  • All charts must have titles and clean formatting (remove unnecessary gridlines, format numbers)

✅ Submission Checklist

  • 3–5 story points with captions
  • Overview dashboard with KPIs and department filter
  • Attrition profile analysis (Job Level, Tenure, Age)
  • Root cause analysis (Satisfaction, Performance, Overtime, Training)
  • At least 1 filter action and 1 highlight action
  • Consistent color scheme and clean formatting
  • Concluding recommendations story point

Export your workbook as a .twbx (packaged workbook) and upload using the form below.

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