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Product Authenticity Evidence Check

Design a mobile flow that helps secondhand shoppers inspect authenticity signals without promising a definitive verdict.

Mobile2 to 4 hours

The brief

Understand the problem

Background

Counterfeit goods are difficult to identify from appearance alone. A useful tool can organize serial records, seller documents, construction details, and known warning signs, but it must communicate uncertainty and avoid presenting weak evidence as proof.

User context

Mina is considering a used designer handbag from an independent seller. She wants to document the evidence before paying and understand what would require a specialist inspection.

Product problem

Shoppers need a clear way to gather and interpret authenticity signals while preserving uncertainty, seller privacy, and a path to expert review.

Objective

Design an evidence collection and review journey that supports a careful purchase decision rather than issuing a guaranteed authentic or fake label.

What to design

Define the experience

Required experience

  • Select the product category and model
  • Capture permitted photos and serial details
  • Review the strength and source of each signal
  • Choose whether to proceed, request more evidence, or seek expert review

Screens and states

  • Product setup
  • Evidence capture
  • Evidence summary
  • Recommended next step

Core user flow

Follow the critical path

  1. 01

    Mina identifies the bag model and starts a private check

  2. 02

    She photographs specific construction details and enters a partially masked serial number

  3. 03

    The summary distinguishes strong, incomplete, and conflicting signals

  4. 04

    She requests a receipt from the seller before deciding

Product rules

Requirements and constraints

Requirements

  • Explain why each requested detail matters
  • Show evidence confidence and provenance rather than a binary verdict
  • Allow sensitive identifiers to be masked and deleted
  • Provide an escalation route to a qualified third-party authenticator

Constraints

  • A photo-only check cannot claim certainty
  • Seller data must not be repurposed for public accusations
  • Brand reference material may vary by year and region

Reality check

States worth considering

The serial number is missing
Reference data conflicts
Images are too blurry
The product category is unsupported

Finish line

What to deliver

  • Four mobile screens with confidence language and a documented uncertain outcome

Optional direction

Visual resources

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

Font pairing
OswaldOpen Sans

Oswald & 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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