Decideze: A Decision Making App: Process Guide
What Does It Do?
Decideze is a decision making app that makes simple everyday decisions for you, to make your life easier. Trying to decide what to make for dinner? No fret, Decideze has you covered. Can't pick out an outfit every morning? Ask Decideze. Using AI tool machine learning, the app keeps getting better as you continue to make it a part of your routine!
For a lot of people everyday decisions can take significant amounts of energy and time. In a schedule packed with jobs, activities and more, spending time on seemingly mundane things can be frustrating- and exhausting. How about we let AI take care of it?
Design Process
Turnaround time: 1 week including concept development, research, prototyping, and testing
Team capacity: Solo project
Research Methods: User interview, field review, user stories, persona development, lo-fi/hi-fi prototyping and user testing.
Software: Miro, Mural, Figma
Research
USER RESEARCH:
In person detailed interview
Short phone interviews
Due to the short turn around time, I turned to my busiest colleague and conducted a detailed interview. I also held phone interviews with time-bound contacts. I supplemented this with some background research on what kind of tasks can take up unnecessary energy, and what decision apps existed in the market.
INTERVIEW INSIGHTS
1. Not having time in the morning to decide what to make
2. Reduced capacity for making shopping/grocery lists
3. Inability to decide what to wear in the morning
4. Inability to keep track of meetings/tasks
FIELD REVIEW
1
1. Tiny Decisions:
- Decision Making app
- Fun ways to decide on things like food
- Easy usability
- Limited Applications
- Not customizable
2. InRule:
AI powered decision making
- Smart app for business solutions
- Machine learning- constantly improving/evolving
- Limited only yo business solutions and decisions
- Not universally accessible
- Expensive $$$
3. Asana Task Manager
- Ease of usability
- Tracks timelines for all tasks/deadlines
- Limited to work applications
- Not great for meeting management
- Buggy
User stories
PERSONAS AND PAIN POINTS
Based on research and interviews I developed a persona and gave her major pain points
Pain Points:
1. Managing work, school, household duties, homework, commute time
2. Playing catch up all the time
3. Inability to decide simple everyday things
Concept Development
RAPID DESIGN PROCESS
1. Defining our problem: Creating an App that helps Abigail feel like she does not have to catch up with everything. Having simple things decided would make life smoother, easier.
2. Synthesising our information and redefining goals and needs
IDEATION
The process included going over all research insights, persona needs, and iterative design development. Feedback was collected from my user at every point of concept development.
THE PRODUCT:
- App that makes tedious but important everyday decisions like what to make for lunch, what to wear, which commute route to take etc.
- Runs on machine learning data. Abi's concerns are that traditional organizational apps often become a chore in themselves by you having to continually feed them data. Instead algorithms today can collect a vast amount of information with right permissions without needing you excessive input
- Machine learning and Deep learning will be mining data that Abi gave it access to- time stamps from calendars, emails, reminders; food data through the initial input and a feedback loop; sleep data through the phone and wearable devices. etc.
TESTING AND LO-FI PROTOTYPES:
Based on all information I created an app and made low fidelity paper prototypes which were then tested on my primary user (the interview that defined my persona).
Testing Insight through the paper prototype led to the development of a second iteration of digital prototype which included simple wireframes. Again I tested this with close friends which led to the final deliverable: the digital prototype.
High fidelity prototype
