Track and analyze key front of house performance metrics including sales, covers, average check, and server productivity to optimize operations and service delivery.
Report Objective
Monitor daily restaurant performance metrics to identify trends, optimize staffing levels, and improve service efficiency. Focus on key indicators including total sales, guest counts, average check values, and server productivity metrics.
Sales and Guest Count Performance
Analysis of daily revenue and cover counts compared to previous periods
Questions to Consider:
How do today's sales compare to recent historical performance?
What is the trend in guest counts and are we maintaining our average check targets?
Are there specific dayparts showing stronger or weaker performance?
What is the day-over-day change in total sales?
How do sales compare to the same day last week?
Are there any notable patterns in daily sales fluctuations?
Does average check size vary with guest volume?
What is the optimal balance between covers and check average?
Peak Period Analysis
Hourly breakdown of sales and cover counts to identify peak periods
Questions to Consider:
When are our busiest periods and how does staffing align?
Are we maximizing revenue during peak hours?
How efficient is our table turn time during rush periods?
When are our peak revenue periods?
Are there opportunities to drive sales during slower periods?
How does staffing align with sales patterns?
Server Performance Metrics
Individual server metrics including sales, table counts, and efficiency
Questions to Consider:
How balanced is the workload across servers?
Which servers are most efficient with table turns?
Are there best practices we can identify from top performers?
Which servers are generating the highest sales?
Is the workload distributed effectively?
Are there training opportunities based on performance patterns?