Donno
Donno is a hybrid app that helps simplify the movie recomendations due to the smart filters and additional features
Problem
People are spending too much time looking for a movie to watch in the unorganized movies pool where the rating is unfairly distributed by the big distributing companies. Therefore the films other poor countries don’t have a chance to be discovered by the general public
Solution
With unbiased search based on the users preferences on a genre, theme, country, or a year the users can discover the best film from any place - therefore seeing a new point of view, and satisfying their need with the genre. Complete database of films and AI will be helping user with the most precise search.
To keep users save their search or create the specific folders there was created a personalized home page along with discover folders - which is a express way to get curated recomendations.
Part 1 - Market Research
I downloaded the most popular film apps, and made my research based on the services and functionality they are offering. The idea was not to find the biggest database of films, but rather smartest and best organized filtering system with the alternative functionality to discover films, create folders, and try gamification functions
Part 2 - Turning Research Results into a Concept
Combine all the services into one app
Provide vast database of films with smart and intuitive filters
Include alternative ways to discover films
Facilitate recommendation phase with simple user-friendly interface
Add personalized statistics
Part 3 - Creating Persona
College Student & Film lover
Average Age:22
Gender: Female (can vary)
Occupation: College Student
Interest: The person who loves watching movies with her friends and discussing them on social media. She often organizes movie nights and is always on the lookout for crowd-pleasing films that are fun to watch in a group setting.
Frustration: Limited time for research due to heavy caseloads and administrative tasks.
Struggles with manual and time-consuming data collection and analysis processes.
Challenges in reaching and engaging the target audience effectively.
Ambition: Social sharing features, recommendations for group viewing, and the ability to create and share movie lists.
Pain Points: Lack of social integration on many platforms, poor suggestions for group settings, and difficulty in coordinating movie nights.
Goals: To easily find and share films that are enjoyable in a social context and to stay connected with friends through shared movie experiences.
Part 4 - Wireframes
I created a simple user flow with the first layer of filters in order to understand whether top 5 filters can identify user’s preferences correctly, then I let users navigate thought the site in order to figure out whether:
Navigation was intuitive
The filters will not overlap each others
They need to have a skip button or go through all filters
How they felt during the process
Positive
Navigation was clear
The filters were not overlapping each other
Improve
Additional features like skip button and top navigation through filters
Database structure AI suggestions
Part 6 - Final User Testing
In order to test how intuitive the design and if all the pages are clear, I asked 5 testers to go through the high fidelity prototype and tell me their feedback.
1) I asked whether the page descriptions are clear to understand what page they are on
2) Whether the filters are relevant for the people
3) And I wanted to know if there was anything they found unclear or confusing
Positive
Users found the design very attractive, and easy to navigate through.
Personalization of filters and sorting makes the search more precise
Customization of folders and settings visually attract users and let then either share or close the access to their folders
