Analysed how users evaluate bulk

Created and evaluated multiple options

Defined phase wise UX/UI final designs

Assisted in setting right evaluation criteria

Simplifying buying larger quantities

Simplifying buying larger quantities

UX/Interaction design/ High impact

UX/Interaction design/ High impact

Bulk needs are specific

Analysing user evaluation across buying journey, I identified how customers evaluate for bulk needs.

Quantity needs:
I need X quantity (Availability)
Most efficient for X quantity (Price)
How to manage X quantity (Returns)

Challenge

Making it easier for users to discover quantities, savings and key decision factors to make confident buying decisions based on their needs.

My role

As a UX owner, I closely collaborated with research, catalog & pricing teams, came up with revamped UX/UI proposal and helped drive experimentation process

Team

UX POC (Myself), Product manager, Pricing team, Catalog team & tech team

Highlights

Launched world-wide

Key outcome

$175MM+ Business impact
22% increase in engagement
900k+ bulk unit orders

Approach

As a revamp project, my key approach was to dive deep into existing behaviour of bulk experiences and exploring user centric ideas to make bulk easy to discover and evaluate

Bulk is unclear and non discoverable

Analysing user evaluation across buying journey, I identified how customers evaluate for bulk needs.

Quotes

“A lot of those things are just about the same price as personal. Only way to get a good benefit of it is by buying a lot of same item in one shot”

Negatives

“Having an option to expand the drop-down menu on the bulk without having to leave the detail page…"

Exploring unified bulk UX across homepage, search results and detail page

For Home page, I explored solutions around early bulk discovery within the product face-outs, adding bulk info upfront or within quantity selector, as more intent driven approach

Friction & Alignment

There was clear alignment to add quantity selector along with CTA, to bring efficiency to the intent driven mental model of users

On Search results page, I explored solutions around early bulk discovery within the product face-outs

Friction & Alignment

Most of explorations on search were deemed as unfeasible due to unclear user intentions and clutter within the face-outs

On Detail page, I explored hoe we can transform existing single unit price focus to a more integrated pricing block where units can begin from 1 to other relevant quantities

Friction & Alignment

Among the options explored, tech and product teams were inclined to keep single unit pricing, while presenting relevant bulk options due to risk of high tech effort and high change in user behaviour. UX weighed few options and defined a phase wise incremental approach

Negatives

Proposal

Creating a unified intent driven bulk discovery and evaluation experience in the key buying journey flow

Key components, friction & alignment

  1. Bulk badge: After series of back and forth with central search, we were able to introduce a offer badge within face-out design system

  2. Qty selector: Based on past personalisation and behaviour data, we decided to have selector and add button next to each other.

  3. Bulk drop down: Working with pricing team, for initial phases, we worked on the component to display relevant bulk savings in tiers. Our next steps is to include relevant options based on behaviour

  4. Buy more, Save more: We worked with catalog and pricing teams to ensure we have right data accuracy regarding total savings, price per unit for recommended bulk options

  5. Key bulk data in buy-box: Capturing accurate meta-data from catalog teams was challenging due to technical constraints. We evaluated best suitable option, while pushing catalog teams to prioritise improving catalog accuracy for next phase

Live experience

The bulk experience was tested and launched world-wide across 8 regions

Key user flows

Mapping bulk experience based on customer's bulk intents

That's all for now

If you are interested to know more or want to discuss in detail?

Created by Gautam Chaitanya