Place Coffee Orders 2× Faster on Blue Tokai

Place Coffee Orders 2× Faster on Blue Tokai

Redesigned the checkout experience from 4 steps to 2 —improving clarity, trust, and speed

Redesigned the checkout experience from 4 steps to 2 —improving clarity, trust, and speed

Role

0 → 1 Product Designer

YEAR

Februrary 2026

Februrary 2026

Before

Before

Overview

Overview

Blue Tokai is a leading specialty coffee brand in India, but its mobile app provides a poor buying experience. This project focuses on redesigning the checkout journey - from product selection to payment to create a faster, smoother user experience.

Blue Tokai is a leading specialty coffee brand in India, but its mobile app provides a poor buying experience. This project focuses on redesigning the checkout journey - from product selection to payment to create a faster, smoother user experience.

Understanding the problem

Understanding the problem

As a regular customer, I often find the ordering process frustrating, which sometimes leads me to abandon purchases.

Despite strong products, the app likely faces high cart abandonment due to hidden costs like GST, confusing navigation, unclear CTAs, and weak trust signals.

As a regular customer, I often find the ordering process frustrating, which sometimes leads me to abandon purchases.

Despite strong products, the app likely faces high cart abandonment due to hidden costs like GST, confusing navigation, unclear CTAs, and weak trust signals.

App Store review analysis revealed recurring checkout friction—location issues, repeated attempts, redundant inputs, and a weaker UX than the website—indicating major usability gaps.

App Store review analysis revealed recurring checkout friction—location issues, repeated attempts, redundant inputs, and a weaker UX than the website—indicating major usability gaps.

Why solve this problem

Why solve this problem

For Users

  • Hidden charges erode trust

  • Redundant and multiple steps slow down eager and loyal buyers

  • Poor hierarchy makes user struggle with key details

  • Confusing CTAs lead to slowed buying process

For Users

  • Hidden charges erode trust

  • Redundant and multiple steps slow down eager and loyal buyers

  • Poor hierarchy makes user struggle with key details

  • Confusing CTAs lead to slowed buying process

For Business

  • Cart abandonment = massive revenue loss

  • Low AOV from no cross-sell in cart

  • Repeat purchase rate declining

  • Customer acquisition cost wasted

For Business

  • Cart abandonment = massive revenue loss

  • Low AOV from no cross-sell in cart

  • Repeat purchase rate declining

  • Customer acquisition cost wasted

Design solution

Design solution
  1. Optimizing product catalog

Gaps Identified (Before)

The product catalog lacked a quick-purchase path for high-intent users, visible trust signals such as ratings and reviews, clear CTA labeling, and transparent tax disclosure - creating friction and reducing purchase confidence.

  1. Optimizing product catalog

Gaps Identified (Before)

The product catalog lacked a quick-purchase path for high-intent users, visible trust signals such as ratings and reviews, clear CTA labeling, and transparent tax disclosure - creating friction and reducing purchase confidence.

Before

Before

Redesign Optimizations (After)

In the redesign I enhanced product discovery and conversion by adding trust signals (ratings & reviews), improving pricing transparency (“+ taxes”), introducing a frictionless "Buy Now" path for high-intent users, retaining "Add to Cart" to support AOV growth, and aligning cart placement with standard e-commerce navigation patterns.

Redesign Optimizations (After)

In the redesign I enhanced product discovery and conversion by adding trust signals (ratings & reviews), improving pricing transparency (“+ taxes”), introducing a frictionless "Buy Now" path for high-intent users, retaining "Add to Cart" to support AOV growth, and aligning cart placement with standard e-commerce navigation patterns.

After

After

  1. Optimizing cart experience

Gaps Identified (Before)

The checkout experience included a multi-step flow, unclear CTAs, low visibility of delivery ETA, an oversized discount section, limited upsell opportunities, and less accessible payment switching - collectively adding friction to the purchase journey.

  1. Optimizing cart experience

Gaps Identified (Before)

The checkout experience included a multi-step flow, unclear CTAs, low visibility of delivery ETA, an oversized discount section, limited upsell opportunities, and less accessible payment switching - collectively adding friction to the purchase journey.

Before

Before

Redesign Optimizations (After)

I redesigned checkout into a single-page flow with a clear hierarchy (Delivery → Order Details → Bill → Payment) to improve scannability. Delivery ETA was highlighted, discounts were compressed into an expandable module to reduce clutter, and contextual upsell was added to support AOV. Free shipping and trust badges reinforce purchase confidence, while payment selection was optimized with a bottom sticky bar inspired by quick-commerce patterns for faster switching.

Redesign Optimizations (After)

I redesigned checkout into a single-page flow with a clear hierarchy (Delivery → Order Details → Bill → Payment) to improve scannability. Delivery ETA was highlighted, discounts were compressed into an expandable module to reduce clutter, and contextual upsell was added to support AOV. Free shipping and trust badges reinforce purchase confidence, while payment selection was optimized with a bottom sticky bar inspired by quick-commerce patterns for faster switching.

After

After

  1. Optimizing payment modal

Gaps Identified (Before)

The payment flow does not prioritize the user’s previously used method, increasing decision effort before gateway redirection. The primary CTA is also unclear, affecting checkout progression.

  1. Optimizing payment modal

Gaps Identified (Before)

The payment flow does not prioritize the user’s previously used method, increasing decision effort before gateway redirection. The primary CTA is also unclear, affecting checkout progression.

Before

Before

After

After

Redesign Optimizations (After)

Redesigned the payment modal to highlight the previously used method and added a contextual CTA within the selected payment card to avoid scrolling. UPI was prioritized at the top based on dominant payment behavior in India.

Redesign Optimizations (After)

Redesigned the payment modal to highlight the previously used method and added a contextual CTA within the selected payment card to avoid scrolling. UPI was prioritized at the top based on dominant payment behavior in India.

Conclusion and expected impact

Conclusion and expected impact

This project reinforced that effective checkout design is less about adding features and more about removing friction at high-intent moments. Improvements in hierarchy, clearer CTAs, stronger trust signals, transparent pricing, and smarter payment prioritization are expected to significantly influence user confidence and decision speed.

In practice, good design directly supports business outcomes—every reduced step, clearer label, or better default would contribute to higher conversion and retention.

This project reinforced that effective checkout design is less about adding features and more about removing friction at high-intent moments. Improvements in hierarchy, clearer CTAs, stronger trust signals, transparent pricing, and smarter payment prioritization are expected to significantly influence user confidence and decision speed.

In practice, good design directly supports business outcomes—every reduced step, clearer label, or better default would contribute to higher conversion and retention.

Thank you!