CauSelf – Risk & Efficiency Assessment (Interactive)

📊 Your Organization's Data

Customize Below

📈 Number of Spreadsheets used for Demand Planning

🎯 Number of Spreadsheets used for Promotional Planning

💰 Number of Spreadsheets used for Financial Modelling & Spend Tracking

📋 Number of Spreadsheets used for Budgeting

🔄 Number of Spreadsheets used for Scenario Modelling & RGM

👥 How many people regularly manage these spreadsheets?

💼 Company Annual Revenue (in $ millions)

⚠️ Assumed % of spreadsheets with significant errors ℹ️

80%

Research range: 72%–90% (Source: EuSpRIG studies)

📊 Assumed % of revenue affected by misreporting ℹ️

1.4%

Conservative range: 1.0%–1.8% (Tool allows 0.5%–3.0% for sensitivity analysis)

💡 Additional context: Productivity loss per person ranges $22,000–$64,500 annually (we use the midpoint: $43,250).

📋 Risk Assessment Results

Live Calculations

Total spreadsheets in use

Spreadsheets per person

⚠️ Risk Factor: % of spreadsheets with significant errors

72% to 90% (using 80%)

🚨 Estimated spreadsheets with significant errors

💸 Annual productivity loss per person

$22,000 to $64,500 (avg $43,250)

💰 Total Annual Cost of spreadsheet maintenance

📊 Revenue at risk due to potential misreporting

1.0% to 1.8% (using 1.4%)

🎯 Potential financial impact from errors

💡 Note: Calculations use your custom inputs and slider settings. Adjust the assumptions above to reflect your specific business environment and risk tolerance.

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🏢 Company Name *

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💼 Job Title

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📚 Research Sources & Methodology

Panko, R. R. (2015). What We Don't Know About Spreadsheet Errors Today. EuSpRIG Conference. This comprehensive review of spreadsheet audit studies forms the basis for our error rate estimates. View PDF
Powell, S. G., Lawson, B., & Baker, K. (2009). Impact of errors in operational spreadsheets. Decision Support Systems. Research on the business impact of spreadsheet errors in operational environments. View Abstract | Preprint
U.S. Bureau of Labor Statistics (March 2025). Employer Costs for Employee Compensation. Private industry compensation data used for cost calculations (≈ $45/hour average, ≈ $33/hour median). Latest Release
MIT Sloan Management Review (2019). Seizing Opportunity in Data Quality. Research indicating poor data quality typically costs organizations 15–25% of revenue, providing context for our conservative misreporting estimates. Read Article

Methodology Note: The 72–90% error prevalence range summarizes findings from multiple independent spreadsheet audit studies conducted across various industries. Our calculator allows you to adjust these assumptions to match your organization's specific context and risk assessment needs.