A mobile app that recommends suitable plants based on users' real environmental factors
The Challenge
New plant owners struggle to identify which plants will actually thrive in their specific living conditions, leading to poor purchasing decisions and plant failure.
The Solution
A mobile app that recommends suitable plants based on users' real environmental factors - light levels, available space, and experience - ensuring they choose plants that will succeed in their home.
Research, insights
& the design process
Research & Insights
User personas revealed two key segments:
Beginners wanting confidence they're choosing the right plant
Enthusiasts seeking to expand their collection strategically
Competitive audit showed existing apps focused on plant care rather than helping users make informed purchasing decisions based on their actual space.
Design Process
Created user flows prioritising the recommendation questionnaire as the core feature
Developed low-fidelity wireframes testing how users input their environmental conditions
Iterated on high-fidelity prototypes based on usability feedback
Designed a companion promotional website to communicate the app's unique value proposition
Key Features
Environmental assessment questionnaire (light, space, experience level)
Tailored plant recommendations matched to user conditions
Plant identification tools
Basic care guidance as supporting information
Outcome
A focused experience that solves the "which plant should I buy?" problem, helping users make confident purchasing decisions based on their actual living space rather than trial and error.
