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Underwriting Efficiency Calculator

Calculate your submission workflow efficiency against real industry benchmarks

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Based on 2024-2025 industry data
Your Progress Step 1 of 5

Enter the average number of new submissions your team processes each week.

i Why we ask this
Include all submissions, regardless of outcome. Submission volume varies by segment and account complexity. In some higher-flow contexts, leaders report ~40 submissions per underwriter per week; complex accounts may be far lower.

How quickly does your team typically provide an initial response to new submissions?

i Why we ask this
Time from submission receipt to first meaningful response (quote/decline/request for more info). In a 2024 broker survey, 48% described industry response times as "too slow."

Estimate how many submissions you receive that fall outside your target criteria.

0% (Perfect match) 100% (All mismatched)
30 %
i Why we ask this
Submissions that don't match your underwriting criteria. Industry data shows ~25% (1 in 4 submissions) typically fall outside appetite, with underwriters spending ~26% of time on deals that never bind.

Include all team members who review and process initial submissions.

i Why we ask this
Full-time equivalent underwriters. Leading carriers like AIG are processing 500,000+ E&S submissions annually while aiming to avoid proportional headcount growth through AI-powered triage.

What percentage of quotes you issue result in bound policies?

i Why we ask this
Percentage of quotes that convert to bound policies. Industry benchmark is ~20% (1 in 5), while top performers achieve 25-50% with strong pre-qualification.

Your Efficiency Score

0 /100
Calculating...

Your Top Optimization Opportunities

Estimated Impact

0 Hours Lost Per Week
$0 Est. Cost Per Year
0% Potential ROI

Get Your Detailed PDF Report

Receive a comprehensive breakdown with industry benchmarks, action plan, and personalized recommendations.

How It Works

Get actionable insights in three simple steps

📝

Answer 5 Questions

Quick questions about your current submission workflow, response times, and team capacity.

📊

Get Your Score

Receive an efficiency score (0-100) benchmarked against industry standards and top performers.

🎯

See Opportunities

Discover personalized insights showing exactly where you can improve and the potential ROI.

Industry Benchmarks

See how top-performing teams compare

<2hrs
Top Quartile Response Time
15-25%
Avg. Appetite Mismatch
30%+
Best Quote-to-Bind Ratio
20-30
Optimal Submissions/UW/Week

Industry Benchmark Sources

Our benchmarks are based on the following industry research and data

Submission Volume: Insurance Business Magazine
E&S Market Growth (21% CAGR): Conning Research
Response Time Benchmarks: SimpleSolve, Prestige Underwriting Survey
Capacity & Automation: Carrier Management (AIG)
Quote-to-Bind Ratios: PRWeb (Flow Specialty)

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Submission Automation Hub

Everything you need to know about modernizing your submission workflows

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FAQ

Underwriting Efficiency Calculator FAQs

Transparency matters—get answers to common questions about our benchmarks, accuracy, and privacy standards

 

#2 - Sortspoke

 

What does this calculator measure?
This calculator evaluates the efficiency of your underwriting submission intake process. Specifically, it measures the operational capacity consumed by low-fit submissions ("noise") and how that friction impacts your team's response times and quote-to-bind ratios compared to industry leaders.
Are my results compared to peers, and is my data kept private?
Your results are benchmarked against 2024–2025 industry data from commercial, specialty, and E&S carriers. Your input data is 100% private. It is not stored, shared, or sent to any server. The benchmarks are pre-loaded, meaning the calculation happens entirely within your browser session.
What timeframe should I use when entering my data?
For the most accurate "health check," use average data from the last 30–90 days. This smooths out short-term spikes (like renewal season) while accurately reflecting your current staffing levels and market demand.
What should I do if my score is low—or high?
A low score usually isn't a people problem; it's a process problem. It often indicates that underwriters are spending disproportionate time on out-of-appetite risks or manual data entry. The most effective fix is often shifting to automated submission triage to filter the noise before it hits their desks. A high score suggests your intake process is scalable and ready for growth.