Case 2

Scam Prevention Guide

Helping consumers spot, avoid, and report scams with confidence

Role: UX/UI Designer
Platform: Adobe Experience Manager (AEM)
Status: Launched as an add-on experience to Scam Tracker
Timeline: 2024–2025
Deliverables: Content model, UX flows, component specs, high-fidelity designs, AEM authoring blueprint

Impact statement: A guided, educational experience that turns Scam Tracker insights into clear, actionable prevention steps, reinforced by short quizzes that assess vulnerability to common scam types.

Project Overview

BBB’s Scam Tracker surfaces real consumer reports across North America. Many visitors arrive after a suspicious message or offer, seeking immediate guidance rather than only a reporting form. The Scam Prevention Guide was designed in AEM to complement Scam Tracker with proactive education, pattern recognition, next-step guidance, and interactive quizzes. The Guide’s entry page orients users to learning paths such as the Risk Calculator, quizzes, videos, and a resource library, while providing direct links back to reports or to look up scams.

Problem Statement

ProblemImpact
Educational content scattered across propertiesUsers struggled to find concise, situation-specific advice at the moment of need
Long, jargon-heavy articles without decision supportVisitors could not translate information into immediate protective steps
Weak bridge between education and reportingMissed opportunities to route users to Scam Tracker actions
Static pages hard to update and personalize in AEMContent velocity lagged behind emerging scam patterns

Users & Research

Primary users

  • Consumers who have encountered a suspicious message, call, link, or offer
  • Caregivers or advocates assisting less tech-savvy users
  • Media and community partners referencing BBB resources

Methods

  • Heuristic review of existing scam content and flows
  • Analysis of top Scam Tracker categories and search terms
  • Interviews with local BBB experts and call-center staff
  • AEM content inventory and authoring constraints assessment

Key UX insights

  1. Users want quick triage: what it is, why it is risky, what to do next.
  2. Examples and red-flag patterns outperform long narrative text.
  3. Clear bridges to Report a Scam and File a Complaint increase follow-through.
  4. Mobile-first layout is mandatory for on-the-go incidents.

Design Goals

  1. Reduce time to find relevant guidance by one to two clicks from entry.
  2. Provide pattern-based education that aligns with the top scam types.
  3. Increase conversion from the education page to the Report a Scam action.
  4. Deliver an AEM authoring model that allows rapid updates and localization.

Design Goals

  1. Reduce time to relevant guidance by one to two clicks from the Guide landing page.
  2. Provide pattern-based education that maps to top scam vectors.
  3. Increase conversion from the education page to the Report a Scam action.
  4. Deliver an AEM authoring model for rapid updates and localization.

Strategy & Approach

  • Built a guided content model in AEM using reusable sections: Intro, Red Flags, What To Do, Protect Yourself, and Where To Report.
  • Introduced pattern tiles tied to common vectors such as phone, text, email, social platforms, and marketplaces.
  • Embedded contextual CTAs that connect prevention content to Scam Tracker reporting and look-up paths.
  • Authored scannable blocks with checklists and examples.
  • Established governance for frequent updates aligned to emerging scam trends.

Before & After: Content Experience

BeforeAfter
Long articles mixed across multiple pagesModular, scannable sections with clear anchors
Generic advice with little pattern recognitionRed-flag checklists tied to specific scam types
CTAs buried at the bottomPersistent, contextual CTAs to report or look up scams
Hard to maintain and slow to updateAEM componentized content with authoring guidelines

Reframing static articles into a guided, modular experience accelerates understanding and action.

Core Feature Enhancements

FeatureUser Value
Test Your Knowledge quizzesShort, ~5-question quizzes (~2 minutes) help users gauge susceptibility to major scam types such as impersonation, online purchase, phishing/SMShing, investment, and employment.
Red-flag checklist blocksTeaches recognition skills in under a minute with concrete examples
“What to do next” stepsClear, immediate actions to reduce harm
Contextual CTAs to report or look up scamsSeamless transition from learning to action
Mobile-first cards and accordionsFaster scanning on small screens
AEM authoring blueprintConsistency, localization, and faster updates

Validation & Feedback

MeasureLegacyNew Guide
Findability of relevant guidanceInconsistentImproved task path clarity in tests
Time to key action (Report a Scam)LongerFewer steps from landing to action via embedded CTAs
Comprehension of red flagsMixedHigher recall with checklist format and quizzes

“The quiz made me realize where I am most at risk.”