The goal is to aim provide user-centric and efficient solutions;
1-To determine the improvements to be made by examining the experiences of the users in the service booking processes.
2-Getting detailed feedback from different (personas) users in order to create products, services, and systems that are useful, usable, and satisfying for users.
3-Reaching out professional and Justlife support system in clean flow.
The goal of user research is to create products, services, and systems that are useful, usable, and satisfying for users.
The app need to offer features such as easy booking, transparent pricing, real-time tracking of cleaning services, secure payment options, and efficient communication channels. The problem is that some users giving up to complete of finding, booking, and managing home cleaning services, beauty salon including add-ons shows by KPI’s and other quantitative researchers.
-Have you read the descriptions/information before?
-Do you always read the information?
-Are all services understandable to you?
-This is your first time seeing this page, right?
-What do you think? What would you expect?
-If you would change professional: Why would you choose this professional?
-Is the information sufficient for you?
-If you require regular cleaning services and want to schedule someone to come every week, how would you go about arranging it?
Participants are mostly Milenials with full-time jobs and who go to Dubai or KSA for living.
There will be 8 users, 4 women - 4 men both IOS android Justlife user or non Justlife user.
The study is accessible for use with a screen reader and a switch device.
Moderated usability testLocation: Turkey, remote (each participant will complete the study in their own home)
Date: Sessions will take place between on Jun-July 23’
Length: Each session will last 45 to 60 minutes per participant.
Compensation: Users were asked to perform task in Justlife app and web.
I designed search feature on both responsive and app projects of Justlfe and also I worked on impelementing common designs for app project for Justlife’s partner Careem by both using Careem and Justlife design systems.
In a strategic effort to streamline user experiences, foster engagement, and simplify service selection, we are embarking on an exciting project to introduce an enhanced search feature across both the Justlife and Careem apps. This new feature aims to empower users to efficiently discover services, service categories, and service items, significantly expediting the booking process while enhancing overall usability and convenience
User-Centricity: Our users' time and convenience are paramount. A search feature is instrumental in enhancing the user-centricity of both apps by offering a rapid and effective way for users to locate the services and professionals they need.
Diverse Offerings: These apps host a wide array of services, service categories, and service items. Users might have specific preferences or unique service requirements. The search feature caters to these needs by enabling precise, personalized search capabilities.
User Engagement: Simplifying the process of finding and booking services fosters increased user engagement. When users can locate their desired services with ease, they are more likely to return to the apps, increasing their interaction frequency.
Users can easily discover services, service categories, and service items through a quick and efficient search process. This eliminates the need to manually scroll through extensive lists.
Users can tailor their searches to match their specific requirements, selecting preferred service types, professionals, and more, thereby creating a personalized experience.
The search feature accelerates the service booking process, reducing the time spent on service discovery and enhancing overall app usability.Enhanced Decision-Making: With the ability to search for services with specific criteria, users can make more informed decisions, resulting in higher satisfaction with their chosen services.
Success Metrics : Conversion rate of funnel and search result click rate.
A/B Test Results: Introducing the search feature led to a 3.53% increase in overall funnel conversion rates.
The search feature demonstrated a 22.81% click-through impact on funnel conversion rates, significantly contributing to user engagement and conversion metrics, which informed the decision for a full rollout across the platform.
Long-Term Value: In the long term, the search feature can drive sustained value by improving user navigation efficiency, reducing drop-off rates in the funnel, and enhancing overall user satisfaction through faster access to desired services. Additionally, search data analytics will provide insights into user intent and preferences, enabling further optimization of search algorithms and personalized content recommendations, ultimately fostering a more intuitive and responsive platform experience.
The Recurring Bookings Management Feature revolutionizes how users interact with and manage their ongoing appointments by consolidating all recurring bookings into a single, intuitive screen. This feature eliminates the hassle of navigating multiple sub-appointments, allowing users to:
View and Track: Access comprehensive booking details, including upcoming schedules and professional information, in one place.
Manage Bookings: Easily reschedule or cancel appointments without navigating through multiple layers of the app.
Enhance Usability: Streamline the overall experience, saving users time and reducing frustration.
Section 1 - Section 2: Appointment page list design update
Section 3: Recurring page section
Section 4: Edit this booking only CTA + Manage all weekly bookings
Section 5: Manage this booking [For upcoming bookings]
Section 6: Manage recurring booking [For confirmed state]
Section 7: When the professional is replaced due to absenteeism etc
Currently, the users cannot manage, view and track recurring bookings from a single screen. The users have to individually open sub-appointments for booking details, tracking professionals, and reschedule or cancel the bookings. Therefore, under this issue - we will develop a single page to allow users to conveniently track and manage recurring appointments to uplift user experience.
Developed a push notification design for the homepage from the ground up and seamlessly extended the same design process to the Careem app. Coordinated and presented design system components and rules of Careem and Justlife to the Careem Product designers for a cohesive and unified user experience.
As the dedicated Product Designer at Justlife, I'm thrilled to unveil a game-changing feature - 'Favorites.' This innovative design enhancement empowers users to tailor their Justlife journey, putting the control right at their fingertips. With 'Favorites,' you can mark a Professional, Service, or even a specific Service Item as your personal favorite, making your Justlife experience uniquely yours.
Why Favorites? It's all about engagement, ease, and efficiency. By marking your ''Favorites'', you create a curated collection of the Professionals you trust, the Services you love, and the specific Service Items that perfectly meet your needs.
The 'Favorite' feature helped users by providing a convenient way to save and revisit their preferred professionals and service attributes, creating a more personalized and streamlined experience. This functionality reduced the effort required to search for frequently used services, enhanced satisfaction with tailored options, and improved overall user efficiency in navigating the platform.
Success Metrics:
Conversion Rate Impact: Implementation of the 'Favorite' feature resulted in a 3.53% overall increase in funnel conversion rates, confirming its effectiveness in driving customer actions.
User Engagement: In the A/B test, 4.92% of users added professionals to their favorites, and 1.64% favorited specific attributes, highlighting user interest in personalization features.
A/B Test Results
Professionals were added to favorites at a rate of 4.92%, indicating a strong preference for easily revisiting service providers.Specific attributes were favorited by 1.64% of users, showing potential for deeper personalization options in future updates.The feature increased session duration and retention rates by creating an accessible and customized user experience.
Long-Term ValueRetention Boost
By allowing users to save preferred professionals and attributes, the 'Favorite' feature promotes loyalty and repeat visits to the platform.
Enhanced Personalization: Data from favorited items will enable tailored service recommendations and marketing campaigns, improving overall user satisfaction.
Scalability: The feature supports future expansion with additional personalized options, such as notifications for favorited professionals or special offers.
Brand Stickiness: Creates a more intuitive platform experience, keeping users engaged and returning to the app for their specific preferences.
The 'Favorite' feature has proven its value as a driver of user engagement, retention, and conversion, positioning it as a cornerstone for further personalization efforts and long-term user satisfaction.
The Justlife Service Explorer Redesign aims to improve user engagement by transforming the way users discover and understand services. By introducing animated GIFs and story-style videos, this design offers a more interactive, visually intuitive experience. Users can click on GIFs representing each service to access engaging, story-driven videos that clarify service offerings. This design approach, grounded in data-driven insights, seeks to bridge information gaps, enhance user experience, and increase conversion rates by making services more accessible and appealing
Incorporating story-based GIFs and videos in service apps like Justlife helps users quickly understand offerings by conveying complex services visually and interactively. This approach appeals to users who prefer visual storytelling over text, making services more engaging and accessible, especially for those unfamiliar with specific options. Story-driven visuals can highlight service benefits, clarify expectations, and increase trust, leading to higher engagement and conversions. By enriching the experience with GIFs and videos, apps can make their offerings memorable, appealing, and easier to navigate.
The Most Booked Service Design addresses the challenge of low user engagement and clarity in service discovery. Many users found it difficult to fully understand service offerings, leading to drop-offs and missed opportunities for conversion. The aim is to create a more engaging and intuitive exploration process that not only informs but excites users, enhancing their decision-making journey and driving overall engagement.
Extensive user research and data analysis revealed a disconnect between how services were presented and what users needed to make confident decisions. Key findings included:
High drop-off rates at service exploration stages.Users preferred visual, interactive content over static text or images.Story-driven, animated content significantly outperformed traditional descriptions in test environments, increasing both time spent on pages and conversion likelihood.
These insights guided the redesign towards a more interactive and visually intuitive approach, ensuring that service offerings resonate with user expectations.
Conceptualization:Initiated brainstorming sessions with cross-functional teams such as marketing team for content creating, aligning on the vision of making service exploration more engaging through animated GIFs and story-driven videos.
Mapped out user pain points and created a clear roadmap for addressing them, setting measurable goals for engagement and conversion improvements.
Worked closely with product managers to integrate business objectives and ensure the project remained aligned with broader company goals.
Prototyping:Designed interactive prototypes showcasing the new elements, including clickable GIFs and embedded story-style videos.Shared prototypes with stakeholders to gather early feedback, refining the design for maximum usability and visual appeal.
Leading the Team: Coordinated efforts between designers, developers, and product managers, ensuring alignment on priorities and timelines.
UAT Management: Directed a structured User Acceptance Testing phase, involving real users to validate the design’s functionality and user-friendliness.Maintained clear communication with developers to resolve technical challenges, ensure timely delivery, and uphold design quality standards.
Success Metrics
New User Activation: The 'Most Booked' feature increased new user activation by 2.8%, effectively expanding the platform’s active user base.
Conversion Rate Impact: Highlighting popular services significantly boosted conversions for key categories:
Home Cleaning: 5.60% increase
Spa Treatment: 25.34% increase
Handyman Services: 67.90% increase
A/B Test ResultsThe feature outperformed against key metrics, validating its effectiveness in enhancing visibility for high-demand services and influencing user decisions.The performance insights directly supported the decision to roll out the feature platform-wide.
Long-Term ValuePersonalization Potential: Plans to evolve the feature into a dynamic, behavior-based recommendation engine will further enhance its value by aligning offerings with individual user preferences.
User Experience Enhancement: By showcasing popular services, the feature simplifies decision-making, increases trust, and promotes platform reliability.
Scalability: The feature sets the groundwork for additional insights-driven optimizations, supporting future campaigns and improved service discoverability.
The 'Most Booked' feature drives user engagement and conversion by leveraging data on high-demand services, improving platform navigation, and serving as a foundation for deeper personalization and long-term user retention.
The goal is to aim provide user-centric and efficient solutions;
Increase User Engagement: Introduce an exciting and interactive way for customers to interact with the app.
Boost Conversion Rates: Encourage purchases by offering rewards and discounts tied to specific conditions.
Ensure Scalability: Build a system flexible enough to adapt to varying country-wise rules, promotional strategies, and reward types.
Research & Planning: Identified gamification as a motivator for increased user interaction.
Competitor Analysis: Studied similar features in e-commerce apps to design a unique yet effective system.
Feature Design & Rules Configuration:Reward types (instant credits, cashback, free items).Validity rules (hourly or midnight).Frequency (daily or multi-day offers).
Logic Development: Designed probability-based logic for fair chances to win while maintaining user excitement.
User Interface & Experience: Created an intuitive and satisfying user interaction for scratching and revealing rewards.
Offer-Based Customization: Tailored "Congratulations" screens to align with different offers and rewards.
Cross-Platform Functionality: Ensured rewards could be redeemed seamlessly across app and PWA.
Implementation & TestingCollaborated with backend teams to integrate Magento system for coupon validation and data management.Thoroughly tested configurations to handle various country-wise rules and reward expiry scenarios.
The Scratch and Win feature provided users with a fun, engaging, and rewarding shopping experience, transforming the typical e-commerce journey into an interactive activity. By offering instant rewards such as discounts, cashback, and free items, it incentivized purchases while fostering excitement and anticipation. Users appreciated the transparency and fairness of the feature, with customizable rules ensuring equal opportunities for everyone. The seamless integration across platforms (app and PWA) allowed users to redeem rewards effortlessly, enhancing convenience and satisfaction. Ultimately, this gamified experience not only made shopping more enjoyable but also created a sense of value and exclusivity, encouraging repeat visits and loyalty to the platform.
Diverse Rules Across Countries:Challenge: Adapting terms and conditions for multiple regions.
Solution: Built a scalable backend to handle country-wise customizations dynamically.
Reward Expiry Management:Challenge: Balancing reward validity for user convenience and business goals.
Solution: Supported both hourly and midnight expiration logic.
Cancellation Handling:Challenge: Managing rewards and coupons for canceled orders.
Solution: Ensured users could reuse rewards if validity conditions still applied.
Success Metrics: The scratch-and-win feature’s performance was analyzed over a two-week period, focusing on:
Total customers who participation.
Number of coupons used
Number of coupons expired
Conversion rate (% of customers who redeemed coupons).
User Engagement: Achieved over 20,000 players within the first phase of deployment, demonstrating high user interest in gamified features.
Conversion Rate Impact The feature led to a future campaigns, ensuring offers align with user preferences and shopping behaviors.The system's flexible configuration (hourly, daily, or event-based) provides scalability, enabling it to adapt to various campaigns and regions.
Retention Metrics: The number of coupons used (redeemed) varied, with daily usage peaking at 1,040 coupons on.
Conversion rates ranged from 2.08% (November 15th) to a high of 6.92% (November 28th).The gradual increase in conversion rates over time shows improving user understanding and effectiveness of the feature.
A/B Test Results:
Users who interacted with the Scratch and Win feature showed 20% higher session durations compared to non-participants.
Redemption of rewards and static coupons contributed to a significant uplift in repeat purchases, confirming the feature's role in driving customer loyalty.
The customized reward structure (e.g., instant credits, static coupons) resulted in a 30% increase in reward utilization rates, further validating its user-centric design.
Long-Term Value:
The Scratch and Win feature has the potential to drive sustained value by continuously engaging users through daily reward opportunities, increasing long-term retention and loyalty.
Gamified interactions improve brand perception, creating a fun and memorable shopping experience that fosters emotional connections with the platform.
This case study highlights the design evolution of the guest customer checkout page. The old design offered a basic shopping bag experience, while the new iteration integrates the checkout process, enabling a more streamlined and user-friendly interaction.
The redesigned page significantly improves user experience by merging shopping and checkout into a unified flow. By introducing interactive product cards, quick delivery options, and visible reward points, the design not only simplifies the process but also encourages user engagement and faster decision-making.
Features
-Simple Shopping Bag Layout:Displayed products with basic information (e.g., name, price, color, size).
Lacked interactive controls like quantity adjustment or wishlist addition.
-Coupon Input Field:A separate input field for entering promo codes.
-Order Details Section:Subtotal, coupon savings, handling fee, and total amount were visible.
Limitations
-Lack of Quick Checkout Options:Users needed to proceed to another screen to finalize delivery options and payment.
-No Personalization or Encouragement:Missed opportunities to nudge users with benefits like "X users added this to their cart."
-Limited Interactivity:No direct options to modify quantities or save products for later.
-Minimal Visual Hierarchy:Important actions like proceeding to checkout were understated..
Improvements
-Integrated Bag and Checkout Workflow:Combines shopping bag and checkout steps into a single screen for a faster, smoother experience.
-Interactive Product Card:Added:Quantity selector (+/- buttons)."Add to Wishlist" option for saving items.Includes social proof with "50 users added this to checkout."
-Delivery Options:Quick toggle between:Express Delivery with additional charges.Standard Delivery for free.Delivery deadlines clearly communicated for urgency.
-Enhanced Promo Code Interaction:Includes a recommended promo code (e.g., "JULY"), making it easier for users to save Actionable "Apply" button.
-Payment Section:Displays available credits and reward points, motivating users to use their rewards immediately.Example: "Eligible to use AED 10 of AED 47."
-Improved Visual Hierarchy:"Place Order" button is prominent, reducing cognitive load for the next action.Sections for delivery, promo codes, and payment are clearly segmented.
Benefits of the New Design
-Time-Saving:Reduces the steps needed to place an order.
-Engagement: Personal touches (e.g., social proof, rewards) encourage quicker conversions.
-Clarity: Enhanced visual hierarchy ensures important details are not missed.
Old Design
Friction in the shopping and checkout process.
Limited engagement and personalization opportunities.
New Design
Faster and more engaging checkout experience.
Increases trust and satisfaction with transparent delivery and payment details.
Encourages impulse purchases with social proof and reward point usage.
6thStreet is a leading eCommerce platform offering a diverse range of fashion brands. One of the primary challenges in online shopping is ensuring customers select the right size, as sizing standards vary across brands. To address this, I developed an AI-powered feature called "Can't Find Your Size?" that guides users in selecting their optimal fit based on personalized inputs.
Many users struggle with size discrepancies among different brands, leading to high return rates and decreased customer confidence in online shopping. Our goal was to:
Reduce sizing-related returns
Improve customer satisfaction and trust
Increase conversion rates by providing personalized size recommendation
This feature provides users with personalized size recommendations by leveraging an intelligent algorithm that considers brand-specific size variations. Users enter their height, weight, and age, and the system predicts the best size for them based on brand-specific sizing patterns.
User Research & Insights:
Conducted in-depth interviews and analyzed user feedback to understand sizing challenges.Reviewed customer complaints and return reasons to identify the root causes of sizing confusion.Identified key pain points: inconsistent brand sizing, lack of confidence in size selection, and frustration with returns.
Algorithm & Data Model Design:
Developed a machine learning model that maps user inputs to brand-specific sizing charts.Integrated historical data on customer purchases and returns to refine size predictions.Ensured adaptability by continuously improving recommendations based on user feedback and purchase behavior.Incorporated weight fluctuations and body type variations to enhance prediction accuracy.
UI/UX Design & User Flow:
Designed an intuitive, user-friendly interface for seamless interaction.Ensured clear call-to-action buttons and simple input fields for frictionless user engagement.Provided instant, visually engaging feedback with dynamic size recommendations.Incorporated educational tooltips explaining how the AI model works to increase user trust.Optimized the feature for both mobile and tablet interfaces to align with the 6thStreet shopping experience.
User Acceptance Testing (UAT):
Conducted UAT with a select group of real users to validate the functionality and usability of the feature.Collected feedback on the accuracy of size recommendations and ease of use.Identified and fixed last-minute issues before the full rollout.Ensured the feature met business requirements and delivered a seamless experience across different devices.
Implementation & Testing:
Collaborated with developers to integrate the feature into the 6thStreet app seamlessly.Conducted multiple rounds of A/B testing to measure effectiveness and user engagement.Gathered and analyzed user feedback post-launch to make iterative improvements.Ensured accessibility compliance for a wider range of users.
25% reduction in size-related return rates, decreasing logistical and operational costs.18% increase in conversion rates for users engaging with the feature.
30% higher customer confidence in size selection (measured via post-purchase surveys).
40% of users who struggled with sizing used the feature to make a purchase decision.
User engagement with the feature increased by 50% in the first three months after launch.
Positive feedback from users in qualitative surveys highlighted the ease and effectiveness of the feature.
Future Enhancements & Next Steps
Expansion to more data points: Incorporate additional user inputs such as body shape and fit preference (loose, regular, or tight fit).Enhanced AI learning: Improve machine learning models by integrating AI-driven feedback loops from return reasons.Multi-language support: Provide multilingual assistance to improve accessibility for diverse user bases.Integration with AR sizing technology: Explore the potential of augmented reality (AR) for an even more personalized shopping experience.
Enhance User Engagement: Create an onboarding experience that captures user interest immediately.
Convey Freshness and Quality: Use real videos and high-quality images to emphasize the freshness of products.
Simplify Onboarding: Make the onboarding process intuitive and quick to reduce drop-off rates.
Premium Feel: Establish a premium brand perception through visual design and user experience.
Bland Onboarding Experience: The existing onboarding process was text-heavy and failed to convey the quality and freshness of FreshDirect’s products.
High Drop-off Rates: Users often dropped off before completing the onboarding process, indicating a lack of engagement.
Brand Perception: The app did not sufficiently reflect FreshDirect’s premium brand image.
User Education: Users were not fully aware of the app’s features and benefits, leading to underutilization.
Research and Analysis:Conducted user research to understand pain points and preferences.Analyzed competitor apps to identify best practices and areas for improvement.
Ideation and Prototyping:Created wireframes and prototypes to visualize the new onboarding flow.Collaborated with the marketing team to source high-quality videos and images.
User Testing:Conducted A/B testing with different onboarding versions to gather user feedback.Iterated on the design based on user feedback and testing results.
Implementation:Worked closely with developers and marketing team to ensure the design was implemented correctly.Monitored the onboarding process post-launch to identify any issues and areas for further improvement.
Increased User Engagement:Engagement rates during onboarding increased by 35%.More users completed the onboarding process, leading to higher app retention.
Enhanced Brand Perception:Users reported a more premium feel to the app, aligning with FreshDirect’s brand image.Positive feedback on the visual appeal and quality of the onboarding experience.
Improved User Understanding:Users had a better understanding of the app’s features and benefits, leading to higher feature adoption rates.Reduction in customer support queries related to app navigation and usage.
User Feedback: Collected detailed user feedback to understand the current limitations and pain points in the existing chat feature.
Market Research: Conducted market research to identify best practices and trends in chat features within similar apps.
Behavior Analysis: Analyzed user behavior data to identify common issues and points of friction in the chat experience.2. Ideation and Conceptualization
Idea Generation: Held brainstorming sessions with cross-functional teams to generate ideas for an improved chat experience.
User Stories and Personas: Developed user stories and personas to ensure the redesign would meet the needs of diverse users.
Wireframing: Created low-fidelity wireframes to outline the new chat interface and user flow.3. Design and Prototyping
High-Fidelity Mockups: Designed high-fidelity mockups using design tools like Sketch and Figma, ensuring alignment with the app’s visual identity.
Interactive Prototypes: Developed interactive prototypes to simulate the new chat experience and gather feedback from stakeholders and test users.
Usability Testing: Conducted usability testing sessions to identify and address any issues with the new chat design.4. Iteration and Refinement
Feedback Integration: Integrated feedback from usability tests to refine the chat design.
A/B Testing: Conducted A/B testing to compare the new chat design with the existing one and measure improvements in user engagement and satisfaction.
Accessibility Improvements: Ensured the new chat design adhered to accessibility standards to cater to all users, including those with disabilities.5. Implementation and Rollout
Developer Collaboration: Worked closely with developers to ensure accurate implementation of the new chat design.
Quality Assurance (QA): Performed thorough QA testing to identify and resolve any issues before the final rollout.
Launch and Monitoring: Launched the updated chat feature and monitored its performance to gather real-world feedback and make further adjustments if needed.Results
Increased User Engagement: Engagement with the chat feature increased by 30%, with users spending more time interacting through the chat.
Enhanced User Satisfaction: User satisfaction ratings for the chat feature improved, with positive feedback highlighting the ease of use and enhanced functionality.
Reduced Support Queries: There was a significant reduction in customer support queries related to chat issues, indicating a smoother user experience.
Faster Response Times: The new chat design enabled faster response times, contributing to a more efficient communication process.
Higher Retention Rates: The improved chat experience contributed to higher overall app retention rates, as users found the feature more useful and enjoyable.
Enhance User Engagement: Create an instruction experience that captures user interest immediately.
Convey Freshness and Quality: Use real videos to emphasize on how to use of products.
Simplify Onboarding: Make the onboarding process intuitive and quick to reduce cancellation.
Technical Issue: If the key is not ready yet, we can askuser to wait while asking an option to navigate themto the your stay screen.if there is an technical issue, we can make try againand view instruction buttons are more visible
Timeout Issue: Short and smooth onboarding.
Easy to reach mobile key.Less busy key screen.
Cancellation: Don’t let users to proceed to mobile key without turning Wifi and Bluetooth on.Maybe setting a vibration feature function while key is processing and when its not getting signal (maybe user is away from the lock etc) vibration stops and then display this error ( If you experience issue then move your phone away from the reader and try to tap again after a few seconds.)if it seems like there is no signal from the phone then we can try the circle icon as clickable and user can try again with his shortcut? (Hmm... it seems like we cant get signal from your phone. come closer?) with it, user feels like trying again.
User Feedback: Gathered insights from user feedback to understand pain points with the existing digital key feature.
Competitor Analysis: Analyzed similar features in competitor apps to identify best practices and potential improvements.
Data Analysis: Reviewed usage data to pinpoint areas where users were experiencing difficulties or drop-offs.
Ideation and Prototyping:Created wireframes and prototypes to visualize the new onboarding flow.
High-Fidelity Mockups: Developed high-fidelity mockups using tools like Sketch and Figma, incorporating brand guidelines for a consistent look and feel.
Interactive Prototypes: Built interactive prototypes to simulate the user experience and gather initial feedback from stakeholders and selected users.
Collaboration with Developers: Worked closely with the development team to ensure the design was implemented accurately and efficiently.
QA Testing: Performed thorough QA testing to catch any bugs or issues before the final rollout.
Launch and Monitoring: Launched the updated digital key feature and monitored its performance, ready to make further adjustments based on real-world usage.
Increased User Engagement: Engagement with the digital key feature increased by 40%, with more users opting to use it over traditional check-in methods.
Improved User Satisfaction: User satisfaction ratings for the digital key feature improved significantly, with positive feedback highlighting the ease of use and convenience.
Reduced Drop-Off Rates: The drop-off rate during the digital key activation process decreased by 25%, indicating a smoother and more intuitive user flow.
Enhanced Security: The new design incorporated advanced security measures, reducing the incidence of security-related issues and boosting user trust.
Higher Retention Rates: Overall app retention rates increased, as the improved digital key experience contributed to a more seamless and enjoyable user journey.
Users can seamlessly search for products and swiftly add them to their cocarts. Once added to a cocart, users have the option to effortlessly share or vote on products while engaging in discussions with cocart team members. This dual functionality enables users to shop and discuss products in real-time. The same convenience extends to Charity profiles, which are public, allowing anyone to join as a member and contribute products while simultaneously enjoying the ability to shop and engage in product-related conversations.
Chat features and connections.
Users will be able to chat their cocart friends everytime with sticky chat window on the right, and can see their connections online state.
Discover new cocarts and charity profiles.
Cocarts and charity profiles will be categorized on discover page and users will search for new cocarts and charity profiles.
Share product already in cocart with team on chat.
They will be available to share cocarts and chairty profile with their friends and family to easily invite them.
I Handled the whole UX/UI Designing process.I was responsible for collecting, researching, investigating and evaluating user requirements and creating user flows, wireframes, prototypes and mockups. I did also create style guides, design systems, design patterns and attractive user interfaces to redesign the existence app.
The Meddly application still has some shortcomings in the flow when users access menus and features which is using in USA. My developer client wants me to redesign the app for better user interface and experiences. Therefore, it is necessary to make some adjustments so that users can more easily understand to use the Meddly application.
Display and flow of menus and features that are easy to follow, understand, and quickly accessible to users and users are comfortable and feel it easy to reach the events, to record videos or images for selected events while using the application for a long time.
User needs
Users hope that menus and features can be easily understood and quickly accessed
Easy access, speed, and security features on free access are the same as paid
Want to have a good experience when using the app
Unique Features
Menu and features access is clear and easy to understand
Quick access to all menu and features
Easy, user friendly and fast when using application
Better experiences with new features and clear UX
Both light and dark mode options
If you like what you see and want to work together, get in touch!
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