Powerpoint for the project can be seen here.
The primary objective of the project was to develop a system capable of analyzing performance to aid the OPS team in tracking and improving employee performance and productivity.
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About the system:
- An Excel workbook with integrated formulas, macros, and automation features. It refreshes on demand, providing several resources in a single location and allowing data to be searchable.
- Helps managers make instant business decisions using a dashboard showing various metrics and KPIs.
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Data Generation:
- The system generates data used to create employee performance reports.
- Identifies areas for improvement, such as training processes and technology.
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Identified Stakeholders:
- The Ops Team, which included 10 people as end users.
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Created a Statement of Requirements:
- User Interface: Dashboard with customizable views and reports based on user roles and preferences.
- Performance Analysis: Automated calculations of metrics such as productivity, efficiency, and goal attainment.
- Reporting: Required specific reports and dashboards to visualize performance trends and identify areas for improvement.
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Designed the System:
- Structure of the Excel system, including worksheets and tables.
- User-friendly interfaces using Excel's features like buttons and dropdown lists.
- Calculations, formulas, functions, and macros for automation and analysis.
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Implementation:
- Imported data into the system.
- Automated formulas and macros for calculations.
- Provided training documentation for users.
- Utilized Microsoft Office Tools such as Excel.
- Implemented charts, dashboards, calculations, functions, and lookup methods.
- Enhanced project development using Amazon’s internal wiki and learning materials.
- Identified metrics for KPIs.
- Imported employee CSV data sheets.
- Cleaned data using Power Query.
- Created sheets using LOOKUP formulas.
- Developed formulas for calculations using
SUMIFS
,AVERAGE
,COUNTS
, andVLOOKUPS
. - Created a dashboard with relevant metrics.
- Primary Data Sources: CSV files from various internal sources.
- Data Cleaning:
- Imported CSV files into Excel using Power Query.
- Identified and corrected inconsistencies, missing values, and formatting issues.
- Standardized text fields for analysis.
- Data needed transformations for use in formulas.
- Lack of summarizations.
- Extra columns.
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Headcount Trends & Forecasts:
- Compared planned headcount with digital and actual headcounts.
- Used linear regression in Excel for forecasting hourly headcount.
=COUNTIF('AA H.Rate'!H7:H3828, "<>0")
- Forecasts:
=IF(B5=0,NA(),FORECAST.ETS(A6,B4:B5,A4:A5))
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Employee Rates:
- Tracked individual and group employee rates.
- Used lookup functions and conditional formatting to highlight high and low rates.
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Work Details:
- Created a comprehensive repository of employee work details using VLOOKUP.
- Displayed task durations and total hours worked.
- Used graphs for visual representation.
=IFERROR(VLOOKUP(E4,'2100'!D:J,5,FALSE),0)
- Work Piles
- Successful diverts and forecasts
- Number of errors made
- Safety Reports
- Daily Volume Percentage of Goal Achieved/Remaining
- Challenges:
- Performance issues and complexity of charts.
- Solutions:
- Avoided volatile functions to improve speed.
- Improved dashboard aesthetics with colors and dynamic filtering.
- Diversified visualizations and added explanatory text for non-technical users.
- Collaborated with senior management for targeted training of 50 employees.
- Used the employee system to track performance and identify struggling employees.
- Conducted surveys to enhance job satisfaction and training needs.
- Streamlined workflows with updated documentation and problem-solving techniques.
- Results:
- Achieved a 10% improvement in sorting efficiency.
- Provided valuable insights for strategic decision-making.
Implementing targeted training initiatives alongside our Excel-based performance tracking system resulted in significant improvements in sorting efficiency and productivity in our 300+ employee department, leading to a 10% performance increase and the processing of over 262,000 items.
The system underwent multiple iterations and improvements to enhance its functionality and user experience. Key updates included:
- Color Adjustments: Improved color schemes for better visibility and readability, making it easier for users to interpret the data at a glance.
- Enhanced Metrics: Added new metrics such as safety reports to provide a more comprehensive view of employee performance and operational safety.
- Dashboard Refinements: Updated visualizations and layouts to ensure the dashboard remained user-friendly, even for less technical users, with clear and actionable insights.
- Optimization: Streamlined calculations and reduced complexity to improve system performance, ensuring quicker data processing and smoother user interactions.