AiMuse - Proposing cultural events
Dock3 – The Startup Lab is the entrepreneurship program by Roma Tre University, open to all university students, alumni, and professionals who want to experiment with their entrepreneurial skills and validate a business project. Each year, Dock3 trains 100 young entrepreneurs and supports the creation of 15 new startups, providing participants with the opportunity to find co-founders, learn how to start a startup with guidance from experienced entrepreneurs, secure initial funding, and pitch their ideas to numerous investors.
During this program, we aimed to introduce and develop AiMuse, an AI-driven application that, based on users' evolving cultural profiles, proposes the right activity at the right time and enables users to plan cultural adventures with friends or family.
Mobile App Design
2024 | 3 months
Events & Celebrations
UX/UI Design | Develop a Mobile Application
Role
UX/UI Design
Tools
Figma
Problem
In today's culturally rich environments, individuals face an overwhelming array of events and activities, leading to a phenomenon known as choice overload. This abundance can result in decision paralysis, decreased satisfaction, and missed opportunities. The challenges include:
Decision Paralysis: An excess of options can hinder decision-making, causing individuals to feel overwhelmed and unable to choose.
Time Consumption: Sifting through numerous events to find suitable options is time-intensive, often leading to frustration.
Social Coordination Difficulties: Aligning schedules and preferences with others adds complexity, potentially resulting in missed shared experiences.
The survey, conducted with over 40 participants, identified the key challenges people face in discovering cultural events:
Word of Mouth: Many rely on recommendations from friends, limiting the scope of activities discovered.
Time-Consuming Searches: Navigating through various platforms is inefficient and frustrating.
Missed Events: Despite efforts, people often fail to identify events that align with their interests.
Lack of Comprehensive Tools: Traditional platforms often prioritize popular spots, neglecting enriching yet lesser-known cultural experiences.
The study emphasizes the need for a personalized, user-friendly, and detailed solution to address these gaps.
Solution
An AI-Driven Cultural Exploration App that analyzes users' tastes and preferences to tailor personalized recommendations for cultural activities and hidden gems into a comprehensive centralized experience.
The app will also enable users to plan and share cultural adventures with friends based on shared interests, fostering social connections and enhancing the experience through group participation.
Market
Market Size B2B
• 8K+ cultural institutions in Italy (B2B)
• Organizers of the 2MLN cultural events x year (B2B)
• Other businesses potentially interested in reaching targeted audience (e.g. book seller, inflight companies, car sharing…) (B2B)
Market Size B2C
Lean Canvas
Competitors
None in the market offers our level of personalization and individuals and group decision-making features
Business Model
Ticketing
We take 10% commission on each ticket for cultural events. This data are taken from 2022 Ansa report and it will increase on 2023 after Covid-19 crash.
Advertising
MVP
In developing the Minimum Viable Product (MVP) for AiMuse, we focused on delivering core functionalities to validate our concept and gather user feedback. The key components of our MVP included:
User Registration and Profile Creation: Enabled users to sign up and establish personal profiles, capturing essential information to facilitate personalized recommendations.
Personalized Event Recommendations: Leveraged AI algorithms to analyze user preferences and suggest cultural events tailored to individual interests.
Event Discovery and Details: Provided a curated list of cultural events with comprehensive details, allowing users to explore and select activities of interest.
Social Planning Features: Allowed users to plan and coordinate cultural outings with friends or family, enhancing the communal experience.
Feedback Mechanism: Incorporated a system for users to provide feedback on recommendations and overall app experience, facilitating continuous improvement.
By concentrating on these fundamental features, we aimed to address the primary challenges users face in discovering and engaging with cultural events, while laying a solid foundation for future enhancements based on user insights.
Result
Despite our dedicated efforts in developing AiMuse, the project did not garner the attention or funding we had hoped for during the competition, which ultimately hindered its continuation. While this outcome was disappointing, it is a common challenge in the startup ecosystem.
This experience proved invaluable in enhancing my teamwork skills and crisis management abilities. It also significantly refined my design vision, enabling me to develop a keener eye for detail and a more thoughtful approach to my work.