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Seller Onboarding Lounge

Reimagining Amazon's new seller experience with AI-assisted, personalized onboarding

My Role Lead Product Designer
Scope End-to-end UX strategy, IA, flows, research, core UI patterns, testing

Overview

80%+ of year-over-year growth depends on successfully onboarding new sellers. And 7 million users start registration but less than half ever start selling on Amazon! We changed that by launching onboarding lounge and retaining millions of sellers.

Business Information

Through research we found that

  • Momentum matters more than speed - Sellers needed to feel constant progress
  • Sellers want to understand Amazon before committing - They wanted to 'try before they buy'
  • Surprises late in the flow destroy trust - Unexpected requirements caused abandonment
  • High-value sellers expect differentiated treatment - One-size-fits-all felt generic and impersonal
  • Mobile is the default, not an edge case - 70%+ of sellers in growth markets used mobile exclusively

So we set some goals

User

  • Feel welcomed
  • Understand what's coming
  • Make progress immediately
  • Avoid rework

Business

  • Increase Registration → Launch conversion
  • Reduce time-to-SWAS
  • Reduce Contact-Us
  • Enable targeted outreach

and launched SELLER ONBOARDING LOUNGE

Key Design Decisions

Decision #1: Parallel Workflows

Problem: Sellers lost momentum waiting on verification (avg 3-5 days)

Solution: Let sellers learn, explore Brand Registry, draft listings, and prepare for KYC—all before verification completes

Impact: Idle time became productive time. Drop-offs during verification decreased by 40%.

Rationale: Psychological momentum matters. Even if verification takes time, sellers feel progress.

Parallel Workflows - Register your brand

Decision #2: AI integration: Amelia (GenAI selling assistant)

  • Embedded across the lounge, always accessible
  • Answers questions proactively: "What documents do I need for my country?"
  • Helps sellers complete steps agentically: "Help me write my product description"
  • Bridges education, discovery, and execution
  • Shift: From static flow → adaptive guidance
AI Assistant Amelia - Mobile View 1 AI Assistant Amelia - Mobile View 2

Decision #3: Onboard before you commit

What: Sellers can explore Amazon, visualize listings, understand compliance BEFORE uploading documents or payment

Why: Reduced regret-driven drop-offs

Impact: 30% increase in sellers who complete registration after exploring

Rationale: People need to understand what they're committing to. Let them see inside before asking them to invest.

Onboard before you commit interface

Early impact signals (from pilot and modeling)

  • Increased completion of onboarding milestones by 35%
  • Reduced drop-offs during verification by 40%
  • Higher engagement with education + Brand Registry (+50%)
  • Lower Contact-Us related to confusion (-30%)
  • Strong qualitative sentiment: "clear," "encouraging," "less scary"