[Case Study 02]
One stop solution for all shoes brands
E Commerce B2C
SneakAir: One stop solution for all shoes brands
One stop solution for all shoes brands
[Project Overview]
SNEAKAIR is a mobile app that brings major sneaker brands and latest drops into one easy-to-use platform. Users can discover, compare, and buy sneakers with real-time drop alerts, curated collections, personalized recommendations, and exclusive offers all without switching between multiple apps.
[Problem Statement]
With countless apps and websites available for online shoe shopping, users often struggle to keep up with new sneaker releases, compare products across platforms, and find the exact color or style they desire, all in one place.
This results in:
Time wasted browsing multiple platforms
Missed opportunities on new drops and offers
Lack of inspiration for styling and trending choices
[Industry]
E Commerce B2C
[My Role]
Lead Designer
[Type]
Desktop and Android
[Timeline]
January 2024- March 2024
[Persona]
Sanchita
Sanchita is Architecture student, she lives in New Delhi. She is a Sneaker Head and loves buying sneakers.
Age: 21
Location: New York City
Tech Proficiency: Moderate
Gender: Female
[Goal]
I want an App which notifies me about the latest sneaker drops.
Having good filters options would be really nice.
Access a seamless mobile shopping experience.
[Frustrations]
Frustrated when she can’t find what she’s looking for easily.
Annoyed by the lack of offline options.
Poor mobile optimization that slows her down.
[Process]
[01] Research Findings
Trust issues – Users fear fake sneakers and want verified sellers.
Overwhelming choices – Too many options make discovery confusing.
Missed drops – Users need timely alerts for limited releases.
[02] Insights
Trust drives purchase decisions – Users buy only when authenticity feels guaranteed.
Simplicity increases engagement – Clean filters and curated feeds reduce decision fatigue.
Exclusivity creates urgency – Drop alerts and countdowns significantly boost intent to buy.
[03 Design Solution]
Verified Authentication System – Introduced seller verification badges and authenticity assurance to build trust.
Smart Filtering & Personalized Feed – Designed intuitive filters and curated recommendations for effortless discovery.
Drop Alerts & Countdown Feature – Integrated real-time notifications and timers to help users never miss limited releases.
[04] Quantitative Research
Survey Data Analysis – Collected responses to understand buying behavior, trust concerns, and drop participation patterns.
Purchase Decision Factors – Identified key drivers such as authenticity assurance, price range, and brand preference.
Drop Engagement Metrics – Analyzed how often users miss limited releases and their interest in real-time notifications.
[Outcome]
Increased User Trust Authentication features improved confidence in purchases.
Faster Product Discovery Smart filters reduced browsing time and decision fatigue.
Higher Drop Engagement Real time alerts boosted participation in limited releases.
[Key Learnings]
Simplification is key
Simplifying navigation and reducing clutter improves decision-making and engagement.
Building Trust
Building trust through transparency directly impacts user confidence and conversions.
Iteration Matters
Continuous testing and user feedback are essential for refining and strengthening the overall experience.