UX Case Study · Automating Onboarding for Unbxd

UX Case Study: Automating Onboarding for Unbxd

Unbxd Commerce Search Overview

Automating Onboarding for an AI-Powered Commerce Platform

Unbxd is an e-commerce product discovery platform that applies artificial intelligence and advanced data sciences to connect shoppers to the products they are most likely to buy. Onboarding is a critical moment in any product experience — especially in complex, AI-driven platforms where value is not immediately visible.

At Unbxd, despite offering powerful product discovery capabilities, users struggled to get started and realise value early. This project focused on redefining the onboarding experience to make it more guided, intuitive, and outcome-driven — ultimately improving activation, engagement, and retention.

Netcoreunbxd.com
Overview
Unbxd is an AI-powered product discovery platform that enables eCommerce retailers to deliver intelligent search, browse, and recommendation experiences at scale — powering 1,300+ websites across 40+ countries, handling billions of monthly shopper interactions, and influencing $8B+ in revenue — yet its onboarding remained manual, slow, and difficult to scale.
Goal
Design a guided onboarding experience that accelerates time-to-value, reduces drop-offs, and drives activation and Free → Paid conversion through structured flows, contextual guidance, and pre-configured setups.
Why This Matters
Onboarding is the first critical interaction in the customer lifecycle, and without proper guidance, users of complex platforms can feel overwhelmed, lose confidence, and drop off before reaching activation and adoption.
Strategy
Designed around three phases: discovery (understand seller profile), automation (pre-fill and validate), and activation (confirm and go live). Each phase had clear success criteria and exit conditions.
Process
The design process followed a structured, iterative approach to ensure decisions were grounded in user needs and business goals, moving from understanding the problem to validating scalable solutions.
Research
  • Stakeholder discussions
  • Competitive benchmarking
  • User interviews
Analyze
  • User feedback analysis
  • Personas & user journeys
  • Problem definition
Ideate
  • Brainstorming sessions
  • Design strategy
  • Feature identification
Design
  • Information architecture
  • Wireframes & prototypes
  • Visual design
Validate
  • Usability testing
  • Analytics & iteration

Research

The research phase combined stakeholder insights and industry best practices to understand onboarding challenges, define user needs, and identify opportunities to improve activation and conversion.

Quantitative & Stakeholder Research

The research phase combined stakeholder insights and industry best practices to understand onboarding challenges, define user needs, and identify opportunities to improve activation and conversion.

Target Users

The primary users of the platform were merchandisers, catalogue managers, and marketing managers, who are responsible for configuring search, optimizing product discovery, and driving conversions, often without deep technical expertise.

Key Insights
  • Users struggled to understand how to get started and often relied on external support for setup
  • The existing onboarding lacked structure, leading to confusion and delayed time-to-value
  • Heavy dependency on custom implementations limited scalability and slowed customer adoption
  • Users needed clearer guidance to experience the product's core value early in the journey
Beyond First-Time Onboarding

Research also highlighted that onboarding should not end after initial activation, but should evolve into a continuous engagement system.

In SaaS ecosystems, ongoing onboarding plays a key role in:

  • Driving feature adoption
  • Encouraging upgrades and expansion
  • Improving retention and long-term customer value

This aligns with the customer engagement funnel, where continuous guidance and education help transform users into long-term advocates.

The customer engagement funnel Sign up / login Activation Active user Paid user Renewal Expansion Typical thinking Onboarding complete here How we think Onboarding must be continuous
Analyze

Analysis revealed that 27% of users dropped off during the configuration stage, making onboarding a critical point of churn, where users struggled to complete setup and failed to experience early value. This highlighted a clear opportunity to improve retention by introducing a more structured, guided onboarding experience that not only reduces friction and accelerates time-to-value but also enables continuous optimization through user behaviour insights while aligning the experience more closely with user goals.

Churn analysis
User Interest Analysis

Strategy

The strategy focused on guiding users through structured onboarding flows, delivering value early in the experience, and reducing decision-making effort through defaults and intelligent recommendations.

Ideate

Based on research insights, the ideation phase focused on exploring ways to transition from a service-led model to a guided, semi-self-serve onboarding experience, generating solutions that simplify complex setup workflows through step-by-step guidance, contextual support, and pre-configured defaults, while ensuring users can quickly understand the product, make confident decisions, and reach their first value moment with minimal effort.

Onboarding User Flow Product Information Architecture

Design

The design phase focused on translating insights into a scalable, guided onboarding experience by structuring the journey into clear, step-by-step flows that reduce complexity and cognitive load, while enabling users to confidently complete setup and reach value faster through progressive disclosure, contextual guidance, and pre-configured defaults, supported by intuitive information architecture, wireframes, and high-fidelity designs aligned with both user needs and business goals.

Design — Login screen

It's all about automation

Faster onboarding, flash feed-indexing, automated relevance setup, and self-optimizing algorithms take care of the search experience for the entire customer lifetime.

Unbxd 3-step onboarding

Faster Onboarding Using AI Powered Search

Vertical you deal in?
Fashion, Apparel, Healthcare, Grocery, Pharma, Autoparts
Platform
Magento, SAP Hybris, BigCommerce, Shopify, etc.
Language
In which language does product description and content appear on your eCommerce store
Location
Spot the data centre closest to your eCommerce store
Faster Onboarding Using AI Powered Search

Superfast Catalog Upload

Catalog Upload
Upload the catalogue from your device, SFTP, or fetch directly from a URL
Platform
You can choose Unbxd AI Powered Search plugin on various eComm platforms to push the feed
How would you like to upload your catalogue today? Drag and drop or browse files to upload Catalog field mapping

AI-Powered Site Search Setup for best relevance

Identify searchable fields
50+ AI models optimise the site search for your eCommerce store.
Facets & Filters
Identifies the facets and filters depending on the category of products and helps shopper narrow their search results
Relevance Booster
Our AI identifies Synonyms, Concepts, Phrases, Stem-words to set up a search that is contextual, rich and relevant!
AI Recommendations
You can apply our AI-engine recommendations or choose to overrule!
Setting up Searchable Fields Configure Autosuggest Commerce Search Overview Analytics

The Search APIs with

Contextual Relevence are now ready now!

Impact

Validation was a critical step to ensure the designed experience effectively met user needs and improved onboarding outcomes, enabling the team to assess whether the solution worked in real-world scenarios. Continuous analysis of user behaviour was conducted using tools such as FullStory and Mixpanel to evaluate usability, identify friction points, and measure the success of the onboarding experience.

This ongoing validation approach allowed the team to track key metrics such as drop-off rates, task completion, and time-to-value, while uncovering opportunities for iterative improvements, ensuring the final design not only functioned effectively but also delivered measurable impact on user activation and retention.

Impact
Business Impact
30–45% reduction in onboarding time
Faster setup enabled quicker activation across new customers
20–35% increase in onboarding completion rates
Guided flows significantly reduced drop-offs
25–40% reduction in support dependency
Self-serve onboarding reduced reliance on internal teams
2–3x scalability in onboarding capacity
Teams could onboard more customers without proportional effort increase
User Impact
25–30% increase in feature adoption
Guided exposure improved discoverability of key features
30% drop in onboarding abandonment
Reduced cognitive overload and clearer guidance
Higher user confidence and satisfaction (qualitative feedback)
Users reported better clarity and ease of use
Tools Used