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Investigate a Suspicious Payment Pattern

Design an analyst workspace for connecting transaction evidence, testing explanations, and authorizing a proportionate fraud response.

Desktop web4 hours plus

The brief

Understand the problem

Background

Fraud alerts can involve linked accounts, merchants, devices, and transfers. A dense graph may reveal connections but still fail to distinguish verified facts from model signals, analyst hypotheses, and customer-provided context.

User context

Nora investigates six card-not-present purchases across three accounts that share a device fingerprint. One customer is traveling and has confirmed two purchases, while another cannot be reached.

Product problem

An analyst needs to construct a defensible case, avoid contaminating evidence, and choose reversible protections before taking actions that may block legitimate customers.

Objective

Create alert triage, evidence analysis, action proposal, and review for one linked-payment fraud case.

What to design

Define the experience

Required experience

  • Review alert basis, affected accounts, transactions, and current protections
  • Explore links while distinguishing facts, signals, and hypotheses
  • Record customer contact and contradictory evidence
  • Propose and obtain approval for proportionate account actions

Screens and states

  • Fraud alert queue
  • Case evidence workspace
  • Action proposal
  • Second-review decision

Core user flow

Follow the critical path

  1. 01

    Nora claims the alert and sees the shared-device signal plus transaction chronology

  2. 02

    She confirms that two purchases belong to a traveling customer and separates them from the suspicious cluster

  3. 03

    She records an unsuccessful contact attempt for the second account

  4. 04

    She proposes a temporary card lock and step-up verification rather than closing the account

  5. 05

    A second reviewer approves the action and the case records the evidence basis

Product rules

Requirements and constraints

Requirements

  • Separate observed transaction facts, external data, system signals, and analyst conclusions
  • Let analysts include and exclude links without deleting source evidence
  • Show customer impact and reversibility for each proposed action
  • Require reason codes, narrative rationale, and second review for severe restrictions
  • Maintain an immutable timeline of evidence access, contact, decisions, and actions

Constraints

  • Sensitive customer data must be limited by investigator role and case purpose
  • A risk score cannot serve as the only basis for adverse action
  • Investigation notes may later require compliance or dispute review

Reality check

States worth considering

The customer confirms only part of a transaction cluster
A merchant reverses a transaction during investigation
Two cases contain the same account and device
A proposed action would interrupt an essential recurring payment

Ready-to-use content

Mock data

Use this content to test hierarchy and realistic data states. You can expand it when the concept needs more depth.

Transactions

  • $486.20 electronics order, Singapore
  • $74.90 travel booking, Kuala Lumpur
  • $512.00 electronics order, Jakarta
  • $18.40 grocery order, Kuala Lumpur

Signals

  • Shared device fingerprint
  • New shipping address
  • Travel notice on one account
  • Two successful customer confirmations

Finish line

What to deliver

  • Four desktop screens showing alert triage, contradictory evidence, and a reviewed temporary action

Optional direction

Visual resources

Use these as a starting constraint if you want one. They are not part of the required solution.

Font pairing
PoppinsOpen Sans

Poppins & Open Sans

Clear interface writing gives people the confidence to understand what changed and decide what to do next.

Icons
Illustrations

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