Track and analyze key store performance metrics including sales, customer traffic, department performance, and labor efficiency to support operational decision-making and identify areas for improvement.
Report Objective
Monitor and evaluate store performance across key operational metrics including sales, traffic, conversion rates, department performance, and labor efficiency. This weekly analysis enables rapid response to performance changes and supports data-driven operational decisions.
Sales and Traffic Performance
Line chart showing weekly sales trends with customer traffic overlay
Questions to Consider:
How are total sales trending week-over-week and versus same period last year?
What is the relationship between customer traffic and conversion rates?
Are there specific days or times driving performance changes?
How do weather patterns or local events impact traffic and sales?
What is the week-over-week sales growth rate?
How do current sales compare to seasonal expectations?
Are there any notable trends or patterns in sales performance?
How is conversion rate trending over time?
What is the relationship between traffic and conversion?
Are there specific times when conversion peaks or drops?
Department Performance Analysis
Bar chart showing department sales and margins
Questions to Consider:
Which departments are driving overall store performance?
How do margin rates vary across departments?
Are there opportunities for cross-department merchandising?
What inventory adjustments might improve department performance?
Which departments are the top performers in sales?
How do margin rates vary by department?
Are there departments showing significant changes in performance?
Labor Efficiency Metrics
Line chart tracking labor efficiency metrics
Questions to Consider:
How effectively are we utilizing our labor hours?
Are staffing levels aligned with customer traffic patterns?
What is the correlation between labor hours and sales performance?
Where are the opportunities to optimize scheduling?
What is the trend in sales per labor hour?
How do labor hours align with sales patterns?
Where are the opportunities to optimize scheduling?