KEY INSIGHTS
01
Relevance matters more than volume.
A larger catalog doesn't necessarily make discovery easier.
02
Discovery and evaluation are inseparable.
Finding a product has limited value if users cannot quickly understand it.
03
Interest exists before purchase intent.
Users need a way to preserve products they're considering.
04
The product journey continues after conversion.
Order visibility and account continuity influence the overall experience.
KEY PRODUCT DECISIONS
DECISION 01
Prioritize discovery before transaction.
DECISION 03
Support intent before purchase.
DECISION 02
Keep evaluation within the shopping flow.
DECISION 04
Extend the product beyond checkout.
Because the central product opportunity is helping users find relevant products.
Wishlist allows users to preserve interest without forcing immediate conversion.
Tracking and order management create continuity after conversion.
Product details consolidate information required for decision-making.
Proposed business model
TRANSACTION REVENUE
Revenue / margin from completed purchases.
REPEAT PURCHASE
Better discovery and saved preferences can encourage return shopping.
PERSONALIZED MERCHANDISING
More relevant discovery can potentially improve engagement and conversion.
Brand partnerships
Sponsored discovery
Premium personalization
HOW COULD STYLEHUB CREATE VALUE?
FUTURE OPPORTUNITIES
USER JOURNEY
SAVE
Preserve intent
↓
PURCHASE
Complete transaction
↓
TRACK
Continue the relationship
DISCOVER
Find relevant products.
↓
BROWSE
Explore options.
↓
EVALUATE
Understand products.
↓
THE SHOPPING JOURNEY
CONTEXT
Fashion ecommerce gives shoppers access to increasingly large catalogs, but a larger catalog does not automatically create a better discovery experience. The product opportunity was to explore how discovery, evaluation, saving, and purchasing could work as one connected journey.
PRODUCT CHALLENGE
Discovery
How might we help shoppers find relevant products faster?
Decision-making
How might we make product evaluation easier?
Conversion
How might we preserve intent when users aren't ready to buy?
Why StyleHub?
OPPORTUNITY
CURRENT PATTERN
OPPORTUNITY
Browse → Search → Product → Buy
Discover → Explore → Evaluate → Save → Purchase → Track
Help shoppers move from inspiration to confident purchase with less effort.
From browsing to guided discovery.
PRODUCT OPPORTUNITY
MVP PRIORITIZATION
DISCOVER
AI Stylist
Visual Search
Outfit Builder
Virtual Try-On
Social Styling
Loyalty Program
Advanced Personalization
EVALUATE
SAVE
PURCHASE
POST-PURCHASE
Home · Categories · Search
Product Detail · Ratings · Variants
Wishlist
Cart · Payment
Tracking · Orders
Relative prioritization based on product assumptions, not engineering estimates.
MVP
LATER
SUCCESS METRICS
RETENTION
DISCOVERY
CONSIDERATION
CONVERSION
Successful purchases from discovered products
Product-view rate
Search/category engagement
Cart → Checkout
Checkout completion
Product-view → Wishlist
Product-view → Cart
Repeat purchase
Returning-user rate
PROPOSED SUCCESS METRICS
NORTH STAR
EXPERIMENTATION
01
HYPOTHESIS
Personalized picks improve discovery.
EXPERIMENT
Compare personalized vs. generic product feed.
METRIC
Product-view rate / add-to-cart rate.
02
HYPOTHESIS
Better product information increases purchase confidence.
EXPERIMENT
Test different information hierarchies.
METRIC
Product-detail → cart conversion.
03
HYPOTHESIS
Wishlist creates delayed purchase intent.
EXPERIMENT
Measure purchase behavior among users who save products.
METRIC
Wishlist → purchase rate.
WHAT WOULD I TEST NEXT?
HYPOTHESIS → EXPERIMENT → METRIC
PRODUCT FLOW
DISCOVER
HOME
PRODUCT
EVALUATE
WISHLIST / CART
CHECKOUT
TRACK
CORE SHOPPING LOOP
01 — Competitive analysis
Reviewed common fashion-commerce patterns around discovery, search, product detail, wishlist, checkout and post-purchase.
03 — Product pattern analysis
Examined how recommendations, categories, product information and saved items support shopping behavior.
Research note: This project uses exploratory product analysis and working hypotheses rather than statistically validated user research.
DISCOVERY METHODS
DISCOVERY & RESEARCH
01 — RELEVANCE
Make discovery useful.
Product response
Top Picks · Categories · Search.
02 — CONFIDENCE
Make decisions easier.
Product response
Product Details · Ratings · Variants
03 — CONTINUITY
Connect the journey.
Product response
Wishlist · Cart · Payment · Tracking
PRODUCT STRATEGY
RELEVANCE
↓
DISCOVERY
CONFIDENCE
↓
CONSIDERATION
CONTINUITY
↓
CONVERSION + RETENTION
PROBLEM
USER PROBLEMS
PRODUCT / BUSINESS PROBLEMS
When shoppers encounter large catalogs, the challenge is not a lack of options. The challenge is identifying what is relevant, understanding whether it is worth buying, and deciding what to do next.
01 — Discovery friction
Too many options can make relevance harder to identify.
02 — Evaluation effort
Users need product information before they can confidently decide.
03 — Delayed intent
Interest doesn't always translate into immediate purchase.
01
Move users from browsing into meaningful product engagement.
02
Reduce friction between product discovery and purchase.
03
Create reasons for users to return.
Fashion ecommerce has a choice problem, not simply a catalog problem.
USERS
People who already browse fashion online and want to discover products that fit their preferences without spending excessive time searching through irrelevant options.
WHEN I'm browsing fashion,
I WANT TO quickly identify products that fit my preferences,
SO THAT I can confidently decide what is worth considering.
Evaluate
Understand the product.
Save
Keep interesting options.
Purchase
Complete the transaction.
Track
Know what happens after purchase.
Style-conscious online shoppers
TARGET USER
JOBS TO BE DONE
Discovery
Users should be able to browse categories and relevant recommendations.
Evaluation
Users should be able to understand product information before purchase.
Saving
Users should be able to save products for later.
Purchase
Users should be able to move from cart to payment with minimal friction.
Post-purchase
Users should be able to track orders and view order history.
PRODUCT REQUIREMENTS
01
Discovery is a product problem, not just a navigation problem.
02
An MVP should solve the core journey before expanding into advanced features.
03
Every major feature should have a clear job in the user's journey and the product's business model.
LEARNINGS
The challenge in commerce isn't simply giving users more choices.
It's helping them make a choice.
PRODUCT EXPERIENCE
FROM DISCOVERY TO PURCHASE
Personalized entry points and categories help users begin with relevant product discovery.
01 — DISCOVER
Home + Categories
Product information, variants, ratings and purchase actions support decision-making.
02 — EVALUATE
Product Detail
Users can preserve products they're interested in without committing immediately.
03 — SAVE
Wishlist
The transaction flow moves users from intent to purchase.
04— PURCHASE
Cart + Payment
The experience continues after checkout.
05 —POST-PURCHASE
Confirmation + Tracking + Orders
Account management supports continuity and repeat shopping.
06 — MANAGE
Profile + Addresses
PRODUCT REQUIREMENTS
Relevant discovery
Product evaluation
Intent preservation
Purchase
Post-purchase
Account continuity
Personalized picks /categories
Details, variants, ratings
Wishlist
Tracking + orders
Profile + addresses
Cart + checkout
Find products faster
Make informed decisions
Save for later
Complete transaction
Maintain visibility
Enable repeat shopping
WHAT DOES THE PRODUCT NEED TO DO?
Product need
Requirement
User value
PRODUCT GOAL
Make relevant fashion discovery easier while reducing friction between consideration and purchase.
USER OUTCOME
Users can discover relevant products with less effort
BUSINESS OUTCOME
Increase meaningful engagement, conversion and repeat shopping.
PRODUCT OUTCOME
More users progress from discovery → product evaluation → purchase.
Previous Project
SALADBOX