Dinesafe Knowledge Base
  • Welcome
  • Return to DineSafe.com
  • Real-Time Norovirus Surveillance
    • Introduction
  • Methodology
  • Data Collection & Processing
  • Metrics & Indicators
  • Implementation Guidelines
  • FAQs
  • Benchmarking
    • Introduction
      • The Importance of Food Safety
      • Introduction to Our Benchmarking System and Its Purpose
      • Why Food Safety Benchmarking Matters: A Stakeholder Overview
    • Methodology & Systems
      • The Metrics We Use
        • Reports per 100 Stores
        • Reports per $1M Revenue
        • Persons Reported Sick per 100k Customers Served
      • Data Sources & Methodology
        • How We Gather Data
        • Estimating Data When Exact Figures Aren't Available
        • Ensuring Accuracy and Transparency
      • Our Benchmark Indexing System
        • Why We Use Indexing
        • Index Composition
        • Index Calculation Process
        • Understanding Index Comparisons
    • Case Study
      • Case Study - Chipotle Mexican Grill
    • Applications
      • Global Applicability of Our Benchmarking System
      • Product-Specific Benchmarking for Food Producers
    • Service Information
      • Why Subscribe to Our Benchmarking Service
      • Limitations & Considerations
      • Conclusion
      • FAQ
        • Q1: How often are the benchmarks updated?
        • Q2: Are the food poisoning reports reviewed before being included in the benchmarks?
        • Q3: How do you account for differences in restaurant size when comparing benchmarks?
        • Q4: Can restaurants submit their own data to improve the accuracy of the benchmarks?
        • Q5: How do your benchmarks relate to official health inspections and ratings?
        • Q6: How can businesses improve their benchmark scores?
  • Data Dictionary
    • Introduction
    • Primary Fields
    • Specialized Fields
    • Delivery Methods
    • Glossary
    • Further Questions
  • IWP Reporting Widget
    • Introduction
    • Why Our Widget? Key Features & Benefits
    • Embedding the Widget
      • How to Embed the Code
      • When to Use Simple Embedding Code vs Advanced Embedding Code
        • Benefits of the Advanced Embedding Code
        • Considerations When Using the Advanced Embedding Code
      • Test the Code
      • Standalone URL Option
      • Customization Options
      • Language Support
      • Mobile-Friendly Link
    • Data Management and Access
    • Compliance with FDA’s Voluntary National Retail Food Regulatory Program Standards
    • Examples of Embedded Widgets
    • FAQ
      • Q1: Who can use the Iwaspoisoned.com reporting widget and what is it?
      • Q2: How do I embed the widget on my website?
      • Q3: Is the widget customizable?
      • Q4: How do I access the reports?
      • Q5: How does the widget support FDA compliance?
  • Email Notifications
    • Introduction
    • Widget Email Alerts
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  • How We Calculate It
  • Why This Metric Matters

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  1. Benchmarking
  2. Methodology & Systems
  3. The Metrics We Use

Reports per 100 Stores

Our "Reports per 100 Stores" metric is a fundamental measure in our food safety benchmarking system. It provides a straightforward way to compare food poisoning incident rates across restaurant chains of different sizes.

How We Calculate It

  1. Determine Total US Store Count

    • We include both company-owned and franchised locations (for those brands that franchise) in the United States.

    • For public companies, we source this data from their annual 10-K reports.

    • If the 10-K doesn't provide a direct total, we calculate it by adding up relevant numbers provided.

    • For private companies or when 10-K data is incomplete, we conduct thorough research to find reliable store count estimates.

    Example: The Texas Roadhouse 10-K does not explicitly state the total U.S. store count for both company-owned and franchised locations. Instead, it provides separate counts for U.S. company-owned, U.S. franchised, international company-owned, and international franchised stores. Therefore, we combined these figures to derive the total U.S. store count from the 10-K data.

  2. Count Total Reports

    • We tally the total number of US food poisoning reports associated with the brand for the year.

  3. Calculate the Metric

    The formula looks like this:

    Reports per 100 Stores = (Number of Reports / Total US Stores) × 100

This gives us the number of reports per 100 stores, allowing for easy comparison across brands.

Why This Metric Matters

This metric is crucial because it provides a size-independent measure of food safety performance, enabling fair comparisons between small regional players and national giants. It also serves as an operational insight into how well a company manages food safety across its entire network of stores. Lower numbers suggest more consistent and effective practices, while higher numbers could indicate areas needing improvement. Additionally, it acts as a scalability indicator, showing whether a chain is maintaining its food safety standards as it grows. While valuable, this metric doesn't account for differences in store sizes or customer volumes. Therefore, we use it alongside other metrics, "Reports per $1M Revenue" and "Persons Reported Sick per 100k Customers," to provide a more comprehensive view of a restaurant's food safety performance.

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Last updated 9 months ago

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