The Problem
The Solution
Event planning is time consuming and difficult to keep track of time, date, activities, and people. After doing competitive research, users liked the ability to plan in one app.
Having a product that uses machine learning to quickly plan events will help provide a better event planning experience.
Discover 01/05
What are the current trends for existing products? What could I do better?
First step was to look for existing event planning platforms to see what I can do better. The biggest competitors have integrated chats, RSVP options, and polls and questionnaires and only some have shared calendar feature and activity/location suggestions. From the competitive research, I learned that many event planning apps do good in many ways such as having interactive features and and creating engagement but lack in customization and giving suggestions.
What are the User’s painpoints?
My next step was conducting interviews with people who plans events regularly. Commutation was a key point in people’s positive experience in event planning.
Who is my target audience?
From the interviews, I developed simplified versions of personas that represent the target audience in order understand the goal of the project.
Define 02/05
I organized my user’s answers about struggles of event planning which was mainly about getting activity suggestions. This will help me focus on the problem I am trying to solve while designing the app.
Ideate 03/05
What steps should users take to plan an event?
My next step was to create a task flow to think about how users can plan events without confusion and as quick as possible. There is a before and after because after redesigning the app, the initial task flow changed while minimizing the screens needed.
Design 04/05
Logo
The logo is a robot since the concept of the app is to use machine learning to plan events.
Color
After testing out multiple color choices, I decided to look at some adult social events (target audience is busy professionals) to get color inspiration and the color choices were inspired from the gradient lights at a nightclub from dark purple to light purple with mixes of pink. Purple also stimulates creativity which is needed when planning events and trust especially since the chatbot will do majority of the planning work for the user. The user would have to trust the chatbot to successfully complete its task. The main background color is a gradient background with various purples and shades of blue mixed together to mimic that nightclub lights.
Font
The font Circular Std was chosen for its clean and modern style.
Wireframe to Final design process
Final Design 05/05
Final Design and Reflection
Overall, I feel satisfied with the redesign because it feels more modern, friendly, and colorful. I also got to practice autolayout on Figma which I was struggling with in the beginning. I had fun playing around with the color palette and how far I had advanced compared to the beginning. My next step would be to create more screens for the prototype and conduct user testing!