While Stripe’s automated systems work to prevent fraud on your account, you can use reviews to provide an extra layer of fraud protection by giving card payments a manual inspection.

For example, you might want to review transactions that:

• Have an elevated risk of fraud according to Stripe’s fraud protection system
• Were made from outside your country
• Are greater than a certain amount
• Use an email address from an unusual domain

The review queue of Stripe Radar for Fraud Teams allows you to examine unusual payments, without having to look at each payment individually. You can create a targeted list of payments to review with criteria that you specify, and review them in the Dashboard.

Review payments

The Dashboard review queue is a prioritized list of completed or to-be-captured payments that might need further investigation. You can review payments by:

• List view: Scan a list of reviews without seeing details about each payment.
• Detailed view: Review customizable payment context for a particular review item.

List view

The list view contains information to help you quickly get a sense for each payment’s possible risk of fraud.

The manual review queue in the Stripe Dashboard

The list view highlights:

• The risk level Stripe assigns after evaluating the payment
• The customer name
• Payment method information
• Customer information
• The amount, date, and time of the payment
• The client

Detailed view

Select the payment within the review queue to view its details page, which might contain metadata that can help with your decision. You can navigate between payments to review using the Previous and Next buttons.

Stripe Radar’s AI model evaluates hundreds of signals when scoring a charge. The risk insights section on the payment page identifies some of the most relevant signals, along with some key data points that can help assess fraud on a payment. The related payments section shows other payments made to your business that use the same email address, IP address, or card number as the payment you’re currently reviewing.

Smart Refunds

Radar for Fraud Teams users can use Smart Refunds to receive recommendations about payments to refund because we predict them to be high fraud risk. Smart Refunds uses Radar AI models to evaluate the likelihood of your transaction resulting in a fraudulent dispute. We base this likelihood on additional signals from other transactions that Stripe processes in the hours after your transaction completes. With Smart Refunds, Radar even extends fraud protection to after your payment has completed.

You can view Smart Refunds recommendations in the Smart Refunds quick filter in the Dashboard review queue. By default, you see recommendations that have a high or very high likelihood of turning into an early fraud warning or fraudulent dispute. You can view additional Smart Refunds recommendations by changing the Refund confidence level. The following table shows the expected chance of an early fraud warning or fraudulent dispute at each refund confidence level.

Actions

After you review a completed payment, you can remove it from the review queue by taking one of the following actions:

• Approve: Closes the review with no changes made to the payment. You can still refund and, optionally, report fraud on an approved payment.
• If you capture payments later, there is also a Capture button. You can capture a payment before or after approval.
• Refund: Refunds the payment without reporting it to Stripe as fraudulent. A completed refund is permanent, you can’t undo it—you must process a new payment. If you capture payments later, this button changes to Cancel. You can read more about this review process here.
• Refund and report fraud: Refunds the payment and also reports it to Stripe as fraudulent, for instance to save dispute fees. This adds the associated card fingerprint and customer email to your block lists and further increases the effectiveness of our fraud prevention.

Customize the review queue

With Stripe Radar for Fraud Teams, you can create rules that automatically place payments in review based on your unique business needs. This gives you the opportunity to identify payments that might require more investigation before you can make an informed decision.

Review assignments

Anyone managing the review queue can assign themselves to reviews to avoid duplicating effort.

As a reviewer, you can see which reviews other people are working on and assign or remove yourself from reviews. You can also filter the review queue to see reviews you own or reviews that are currently unassigned.

In the list view, use quick actions or the overflow menu to assign yourself to a review.

To assign yourself to a review in the list view, hover over a review and click the person icon or the Assign to me button in the overflow menu (). In the detail view, click Assign to me.

You can take action on a review assigned to another team member or assign it to yourself. The review timeline shows a complete history of assignment changes and other actions.

The timeline in the detail view displays a history of assignment changes.

Listen for review events

You can listen for webhook events related to review activity to trigger relevant response handling. Stripe sends the following review events:

• review.opened: Indicates that a transaction was added to the review queue, generating a review object.
• review.closed: Indicates that a review object closed and provides the reason.

Best practices

Use the following best practices to get the most out of reviews and perform them efficiently.

• Focus time on payments where human judgment can add valuable insight to the decision

  Automated systems can make decisions on the majority of payments but human decision making can significantly improve accuracy when identifying fraud in some cases. Because not every case benefits from human involvement, make sure you choose transactions where the benefit is clear.

• Use risk insights and related payments to make an informed decision

  Use the data in the risk insights section to see how Stripe Radar came up with a score for a charge. Combining the reasons for a score, knowledge about your business, and human judgement can help you make an informed choice about when to trust or ignore the score assigned by Radar.

• Use the insights from reviewers to develop hypotheses for fraud prevention strategies

  As reviewers sort through your transactions, they develop intuitions for fraud prevention that you can translate into better rules. Collect insights from reviewers to test custom rules on your account.

• Customize the process by presenting data unique to your business at review time

  Pass along any additional customer or order information as metadata so that all relevant information is in the Dashboard at the time of review. Some examples of useful metadata include:

  • More information about the order and its shipping information
  • Google Maps and Street View links to the customer’s shipping address so the reviewer can see if the address might be a drop-shipping or freight-forwarding service

• Don’t slow down your customer

  A review implies some amount of time between order placement and delivery. If your business has an inherent delay of this type (for example, you’re shipping physical goods), taking the time to review a transaction doesn’t affect the customer’s delivery expectation. If you don’t have a built-in delay between orders and fulfillment with your business, adding a review process might slow down orders and create a bottleneck for good customers. Consider the impact on customers before you implement a review process.