I'm building an app to help insurers and brokers structure, price, and launch parametric insurance products. These are the main functions: For Brokers:

Access to Multiple Data Sources and Integrated Risk Models: The platform allows brokers to consult various data sources and use directly integrated risk models for more accurate assessments. Simplified Structuring of Parametric Insurance Products: Brokers can easily design parametric insurance products through an intuitive interface, whether standard or customized. Real-Time Premium Estimation: The platform provides an insurance premium estimate, allowing brokers to instantly check if the proposed structure fits the client’s budget. Adjustment of Risk Levels: In collaboration with the client, brokers can adjust risk parameters to optimize the premium and make it compatible with budgetary requirements. Client Education: The platform enables brokers to better inform their clients about the specifics of parametric insurance products, facilitating decision-making. Creation and Sharing of Business Plans: Brokers can design a detailed business plan for the insurance product, share it with insurers, and request a delegation of authority. Submission and Request for Quotes: Brokers can create and share insurance proposals with insurers and request a quote based on the client’s specific needs. Reception of Offers: The platform centralizes responses from insurers, whether it’s an offer for a premium or a delegation of authority. Relationship Management: A dedicated space to effectively manage relationships with clients and insurers, ensuring transparent and structured follow-up. For Insurers: Reception of Business Plans and Submissions: Insurers can directly review business plans or insurance proposals submitted by brokers. Indication of Interest: They can express their interest in the received proposals, facilitating quick and efficient collaboration. Risk Analysis: Insurers can analyze the risks associated with submitted proposals using the platform's integrated tools. Issuance of Offers: Based on the analysis, insurers can issue offers, specifying the corresponding premium. Management of Relationships with Brokers: The platform provides relationship management tools to track and optimize interactions with brokers.

I want to build the a feature to backtest the parametric insurance product that was designed. How should it look like and what should it do? Be thorough, detailed, and creative. It has to be useful and easy to use, with a great UX. Don't be lazy, finish the task I'm giving you. I'll reward you well. Give it your best.

I'm writing descriptions from screenshots from other softwares' similar features:
Image 1: Alabama Flood
Title: Alabama Flood
Status: Accepted To Bid
Tabs: The interface includes tabs for Transaction, Models, Bids, and Requests.
Portfolio Location:
A map of Alabama is displayed with highlighted areas indicating flood zones.
Specific locations such as Mobile and Montgomery are marked.
An image of a property is shown with details:
TIN: 359.453.76
Number of Storeys: 1
Occupancy Type: Single Family
Lot: 32.36
Land: 90.03
Model Output for Selected Location:
A graph showing the model output over return periods, with values ranging from 0 to 60 million dollars.
Specific data points are marked on the graph.
Cat Model Output:
Another graph showing the Catastrophe (Cat) model output over return periods, with values ranging from 0 to 800,000.
Data points are marked on the graph.
Model Comparison:
A table comparing different models based on Average Annual Loss (AAL) and AAL Standard Deviation.
Models listed: 6,104 and 11,870 with corresponding standard deviations.
Image 2: Historic Windstorm Explorer
Title: Historic Windstorm Explorer
Location: Miami Beach
Policy Limit: $10,000,000
Cover Policy:
Options include Basic, Standard, Comprehensive, and Custom.
Custom policy details are shown.
Map:
A map of Florida with a circle indicating the radius around Miami.
Storm data is displayed:
Number of Storms: 58
Total Payout: $580,000,000
Years Without Storms: 30
Storms Listed:
ALEX 2022: Tropical Storm, Policy Payout: $10,000,000
ETA 2020: Tropical Storm, Policy Payout: $10,000,000
SALLY 2020: Hurricane, Policy Payout: $10,000,000
Image 3: Scenario Planning (Hurricane)
Title: Scenario Planning
Scenario Type: Hurricane
Map:
A map of the United States with highlighted areas indicating exposure.
Specific locations such as Florida and Louisiana are marked.
Controls:
Options for Individual and Annual scenarios.
Scenario name input field.
FEMA Riskmap toggle.
Show Attachment Circles toggle.
Image 4: Portfolio Display (Hurricane)
Title: Portfolio Display
Scenario Planning:
Scenario Type: Hurricane
Scenario Name input field.
Map:
A map of the United States with highlighted areas indicating exposure.
Specific locations such as Florida and Louisiana are marked.
Controls:
Options for Individual and Annual scenarios.
FEMA Riskmap toggle.
Show Attachment Circles toggle.
Image 5: Exposure Summary
Title: Exposure Summary
Property Count: 7
Total Insured Value: $170,400,000
Breakdown by FEMA Risk Category:
Bar graph showing the distribution of properties by risk category.
Scenario Planning:
Scenario Type: Hurricane
Scenario Name input field.
Map:
A map of Florida with highlighted areas indicating exposure.
Specific locations such as Miami and Tampa are marked.
Controls:
Options for Individual and Annual scenarios.
FEMA Riskmap toggle.
Show Attachment Circles toggle.

Image 1:
Title: Portfolio Displayed
Section: Exposure Summary
Scenario Planning:
Scenario Type: Hurricane
Scenario Name: Various unnamed scenarios with different years (1935, 2005, 2022)
Map: Displays a map of the United States and parts of Mexico and the Caribbean, highlighting areas affected by hurricanes.
Legend: Indicates the intensity of the hurricane with color codes.
Buttons: Options for "Simple" and "Hybrid" views.
Image 2:
Title: Portfolio Displayed
Section: Exposure Summary
Scenario Planning:
Scenario Type: Hurricane
Scenario Name: IAN [2022]
Map: Zoomed-in view of Florida, showing the projected path of Hurricane IAN.
Legend: Indicates the intensity of the hurricane with color codes.
Scenario Impact:
Policies Triggered: 4
Parametric Payout: $153,000,000
Buttons: Options for "Simple" and "Hybrid" views.
Image 3:
Title: Cost of Equipment Damage Event ($)
Graph: A bell curve graph showing the distribution of equipment damage costs.
X-Axis: Cost of Equipment Damage Event ($)
Y-Axis: Probability Density
Mean: $118,398,636
Standard Deviation: $55,505,124
Color Codes: Blue (95% confidence interval) and yellow (10% to 90% confidence interval).
Image 4:
Title: Risk Overview
Metrics:
Revenue: $74.4M
Most Probable Loss: $0.00
Expected Loss: $15.2M
Unexpected Loss: $47.8M
Value at Risk: $62.9M
Exceptional Loss: $159M
Graph: A loss distribution graph showing the expected loss.
X-Axis: Loss ($)
Y-Axis: Probability Density
Expected Loss: $15.2M
Loss Categories: Expected Loss, Unexpected Loss, Exceptional Loss.
Image 5:
Title: Expected Loss by Type
Graph: A bar chart showing the expected loss by different types of events.
Categories:
Investigation & Remediation
Downtime
Loss of Equipment Damage
Regulatory Penalty
Human Malfunction/Payout
Loss of Reputation
Average Compensation (Shareholders)
Total Expected Loss: $14M