Overview
Executive Summary

Many people avoid using plant identification apps even if they have the need, due to inaccuracy and lack of trust in the results.
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As a UX designer, I aim to understand why people are not using these apps, identify gaps in the app experience, and propose solutions to bridge the trust and usability divide.
What is PlantSnap?
PlantSnap lets users scan plants to identify them, learn care tips, and engage with a community of plant lovers.
Methodology
Research
​To understand about the the former, non users of the available plant ID apps and the current plant ID app users.
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Didn't trust results
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Felt impersonal
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Preferred consulting others.
Why People not using the Plant Identification app?
Insights:
Phase 1
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Secondary Research
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Surveys
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User Interviews​
From:
What makes current users use the app?
Phase 2
From:
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User Interviews​
Insights:
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They stayed because of the community feature, not accuracy.
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Looking for quick and reliable information
Problem with PlantSnap - The Identification Results
2/10 were accurate
INACCURATE
Poor Identification Results
UX Mapping Methods
 Persona-1Emily - Love Nature, Not into Technology |  Persona-2James - Tech Savvy, Plant Enthusiast |  Scenario MappingTo understand how users will interact with a product in specific situations |
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 Journey MappingTo figure out the pain points and improve the user or customer experience |  Empathy MappingTo understand user needs, thoughts, and feelings, leading to better user experiences. |  Mental ModelUnderstanding users' mental models to create interfaces that resonate with users' expectations. |
 Strategic InsightsSWOT & MoSCow Analysis - To understand the project's context, prioritize features, and make informed design decisions. |
*Click image for detailed view*
Redesigned Screens
Problem 1 - Poor Scan Accuracy
"Why Guide users on how to properly scan a plant?"
Based on PlantSnap’s Photo Guidelines
"Inaccurate results stem not only from limitations in the machine learning algorithms but also from improper photo-taking techniques."
LoFi and Paper Prototypes
Problem
Has to remember the tips every time
Problem
No freedom of what to be scanned
Proposed Solution
Interactive Guidance: AR tooltips and focus indicators to help users capture better photos.
Proposed Solution
Customization:
Allow users to crop the scanning area for improved accuracy, like Google Lens.
Problem 2- Lack of Quick & Trusted Information
"Why Introducing AI Chatbot?"
To help users get quick, reliable plant information without the hassle of switching to Google every time the scan fails.
No-Code AI Chatbot Solution
using Zapier.com
Card Sorting
To determine where users expect to access the AI chatbot feature
HiFi AI Chatbot Screens
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Other UI Fixes - Accessibility and Inconsistency
Validating Design Solutions
Usability Testing (Moderated)
For the identification of usability issues and areas for improvement based on feedbacks.
Changes based on feedback
Real-World Validation of My Solutions
"PlantSnap implemented a similar experience after my UX solution proposal."
My Proposed Solutions
Plantsnap's Update V6.5.5
AI Chatbot for Quick Plant Info
Focus Indicator
Crop Feature to let users control the scan area
Value for Users, Technology & Business
Conclusion
My project focuses on enhancing the user experience of PlantSnap by addressing three key issues:
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Improving accuracy with AR solutions
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Quick, reliable information via the AI chatbot, Mr. Plant
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Through thorough research, iterative testing, and validation, I’ve demonstrated how these solutions not only solve existing problems but also pave the way for future innovation.
Broader Impact of AR Solutions
Moreover, the strategies and features I’ve implemented have broader applicability, extending to other AR-based applications like Amazon Lens and Walmart Lens, showcasing their potential impact on the industry.