Lotusque App
Case Study · Mobile App · UX/UI Design

Lotusque
Bouquet Preview App

Designing a seamless flower ordering experience for busy people — from discovery to doorstep delivery.

Duration
April – September 2022
6 months
My Role
UX Researcher
UI Designer
Tools
Figma
Wireframing · Prototyping
Platform
iOS Mobile App
01 — Problem & Goal

Why Lotusque?

In today's world, people lead busy lives and often prefer to minimize the time spent on certain tasks, such as purchasing flowers. Visiting a physical flower shop requires travel, knowledge of what's available, and hope that the shop is even open. For many, it simply isn't worth the effort.

"Most interviewees expressed a preference for buying flowers through an app — even though I initially assumed they'd prefer in-person purchases."

The goal was clear: assist users in ordering bouquets easily, while giving florists a streamlined system to receive and manage orders.

🎯
The Problem
Busy people struggle to find time to visit flower shops — which often have limited hours, inconsistent stock, and require significant travel time.
The Goal
Design an app that lets users browse, customise, and order bouquets from anywhere — while giving florists a clear, organised system to manage incoming orders.
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The Product
Lotusque offers bouquet customisation, category browsing, fresh flower selection, and flexible delivery or pick-up scheduling.
02 — User Research

Understanding the user

I conducted multiple user interviews to identify the challenges people face when purchasing flowers and their pain points with existing solutions. The research uncovered four consistent pain points across all participants.

01
Limited access
Flower shops close early, leaving buyers unable to purchase when they actually need flowers — often for last-minute occasions.
02
Lack of expertise
Some florists lack sufficient knowledge to answer buyers' questions about specific flowers, leaving customers unsure about their choices.
03
Time constraints
For people in busy metropolitan areas, travelling to a flower shop is excessively time-consuming — a dealbreaker for many.
04
Freshness uncertainty
Flower shops don't always have fresh stock available, especially for specific or exotic varieties needed for special occasions.
03 — Personas

Who we're designing for

Based on the interview data, I developed two personas representing the primary user types identified in the research.

Persona - Lily

Persona 1 — Lily, the fashion designer who needs access to exotic and fresh flowers for her projects

Persona - Mark

Persona 2 — Mark, the busy entrepreneur who needs to order bouquets online without visiting a physical shop

04 — User Journey Maps

Mapping the experience

The primary goal mapped was finding a fast and easy way to order bouquets — selected because this was the core pain point identified across all interviews.

User Journey Map 1

User Journey Map — Lily's experience ordering flowers for a project

User Journey Map 2

User Journey Map — Mark's experience ordering a bouquet online

05 — Competitive Audit & User Flow

Defining the design direction

Competitive Audit

I analysed both direct and indirect competitors to identify their strengths and weaknesses — using the findings to inform key design decisions.

Competitive Audit

User Flow

The user flow maps the end-to-end journey from app launch to successful order placement — keeping the path as direct as possible.

User Flow
06 — Design Process

From sketch to screen

01
Paper wireframes
Rapid ideation on paper
02
Digital wireframes
Structure & user flow
03
Lo-fi prototype
Clickable for testing
04
Usability study
Identify & fix issues
05
Hi-fi prototype
Final polished design

Paper Wireframes

Starting on paper allowed for rapid exploration of multiple layout ideas before committing to any digital direction.

Paper Wireframes

Early paper sketches exploring layout and navigation patterns

Digital Wireframes

Moving to Figma, I focused on building the core user flows — specifically the back-navigation system and bouquet customisation experience.

Digital Wireframe 1

Back button enabling navigation to previous screen · Occasion selection

Digital Wireframe 2

Hamburger menu for persistent access · Bouquet customisation flow

Low-Fidelity Prototype

I created a clickable lo-fi prototype in Figma to test the core flow before investing time in visual design.

Lo-Fi Prototype

Lo-fidelity prototype — full user flow mapped in Figma

07 — Usability Studies

Testing & iteration

After creating the clickable prototype, I conducted user testing and identified several challenges participants were facing. The usability study directly informed the final design iterations.

🔍
Finding 1 — Navigation confusion
Participants struggled to understand how to navigate back to previous screens. Solution: added a persistent, clearly visible back button throughout the flow.
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Finding 2 — Customisation discovery
Users didn't immediately discover the bouquet customisation feature. Solution: surfaced customisation options earlier in the shopping flow with clearer visual hierarchy.
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Finding 3 — Occasion selection clarity
Participants wanted clearer differentiation between occasion categories. Solution: redesigned the occasion selection screen with distinct visual treatments per category.
Usability Study 1

Round 1 findings

Usability Study 2

Round 2 findings

Usability Study 3

Iteration insights

08 — Visual Design

The final design

After two rounds of usability testing and iteration, I moved into high-fidelity design — applying the visual language to all screens with careful attention to typography, colour, and spacing.

Visual Design

Visual design system — colour, typography, and component library

High-Fidelity Prototype

Hi-Fi Prototype

High-fidelity prototype — final screens ready for development handoff

Explore the prototype

Click through the full interactive prototype in Figma to experience the complete user journey.

Open in Figma ↗
09 — Reflection

What I learned

This project challenged many of my initial assumptions — most importantly around how users actually prefer to buy flowers. The research made it clear that convenience consistently wins over tradition.

Key insight
Never assume you know user preferences before research. I expected most users to prefer in-person shopping — the data said the opposite.
Design lesson
Usability testing revealed issues I would never have spotted on my own. Two rounds of testing made the design measurably better each time.
Next steps
Explore a florist-facing dashboard view, add real-time stock updates, and test with a wider range of participants including older demographics.