Project Objective:

To design and develop a user-friendly mobile app for Cocorio that simplifies the nanny booking process, enhances customer experience, and streamlines operations.

Challenges:

1. Manual Booking Process: Customers relied on phone calls to book nannies, leading to delayed responses and potential loss of business.
2. Service Discovery: It was difficult for customers to browse and compare available nannies based on skills, availability, and location.
3. Customer Support: Cocorio struggled with high volumes of inquiries, leading to inconsistent customer support.
4. Job Applications for Nannies: New nannies had no dedicated platform to apply for jobs, creating additional workload for the operations team.
5. Scalability: The existing system couldn’t handle the growing demand for Cocorio's services

Our Approach:

Discovery & Strategy:

• Conducted workshops with Cocorio's team to understand their operational pain points.
• Mapped user personas to design an intuitive experience for both customers and nannies.
• Defined a roadmap using Agile methodologies, ensuring iterative delivery and continuous feedback.

App Features & Development:

1. Seamless Nanny Discovery: Users can search for nannies based on location, availability, timing, and unique skills like singing or dancing.
2. AI-Powered Chat Support: Integrated an AI-based customer service chatbot to handle FAQs and resolve common inquiries instantly.
3. In-App Booking System: Enabled users to book nannies directly through the app and sync appointments with their calendars.
4. Review & Rating System: Added functionality for users to review and rate nannies, promoting quality and transparency.
5. Nanny Job Portal: Created a dedicated section where new nannies can apply for jobs and submit their credentials for review..
6. Real-Time Chat: Provided users with the ability to chat directly with nannies for quick clarifications and updates.

Advanced Technologies

1. Leveraged React Native for a cross-platform solution to ensure consistency on both iOS and Android.
2. Built a scalable backend using AWS Lambda for seamless app performance during high traffic
3. Implemented Geo-Location Services for location-based nanny recommendations.

Testing & Deployment:

1. Conducted rigorous usability testing with a focus group of customers and nannies.
2. Deployed the app with a robust monitoring system to ensure a flawless post-launch experience.

Results & Impact:

1. Improved User Engagement: Cocorio experienced a 70% increase in bookings within three months of the app launch.
2. Faster Bookings: Reduced the average booking time by 40%, enhancing convenience for customers.
3. Higher Customer Satisfaction: The app received an average rating of 4.8/5 on app stores.
4. Operational Efficiency: The AI-based customer service chatbot handled 85% of user queries, freeing up staff to focus on critical tasks.
5. Increased Workforce: Applications from new nannies grew by 50%, expanding Cocorio’s talent pool.
6. Revenue Growth: Overall revenue increased by 30%, driven by the ease of use and higher engagement.

Additional Problem Solved: Handling Cancellation:

‍Customers often faced challenges when nannies had to cancel bookings due to unforeseen circumstances. This caused inconvenience and loss of trust.

Our Solution:

1. Implemented a Real-Time Replacement System: When a nanny cancels, the app automatically suggests other available nannies matching the user’s criteria.
2. Added a Cancellation Insurance Feature: Users could opt for a premium service ensuring guaranteed replacements in emergencies.