Original Design, Problem Statement, Goal
Hanoot is an application that utilizes AI to help people plan a spontaneous and personalized day adventure.
Its current adventure-generation user flow entails the following
Landing
Preferences: Cuisines, Pricing, & Adventures
Seize the Day Adventure Selection
Itinerary
Goal: Design an optimized user flow for Hanoot’s users, and create a lo-fi prototype with an emphasis on itinerary UI within the context of the application's style guide.
Current Design
Analysis
User
Research
Competitor
Analysis
Ideation
& Prototyping
Implement
Feedback
Interviewed five people:
How would you go about planning a spontaneous day trip or hangout itinerary with your friends?
How does the current Hanoot solution meet your needs?
The Process
Problem: Despite the target demographic of spontaneous users, the app's features (preferences, budget) are either not intuitive or non-existent (free time, distance, transportation preferences)
User behavior
Important considerations: location/proximity, food, and cost
Pain points: knowing people’s availability, indecisiveness, tardiness, knowing if a restaurant accommodate everyones
When deciding on which activity to do, users may…
default to usual activities rather than try to look for something new
want to choose the best from list of options, depending on how much time they have
not want to eat
Collaborating with others and seeing what everyone likes is an essential part of planning.
Users would like the ability to edit the resulting itinerary.
Possibility of choosing from multiple versions
Ability to add extra discretionary time — allows adventure customizability and leeway for lateness
Common apps involved
Itinerary medium
Notes (ease and doesn’t need WiFi)
Google Docs (collaboration)
Activity planning
Maps
Yelp
Tiktok (finding places/activities)
Itinerary sharing
iMessage/texting
Competitive Analysis
Relevant findings from Wanderlog, Passero, Roam Around, Expedia, Kayak, TripAdvisor
Most trip sites are for multiple days, budgeting, and hotels rather than spontaneous day trips.
Have features like
map
real-time collaboration
mini tutorial
“top places” with reviews
optimized route
consistent rewards with vendors
category overview: present options and users can choose which to modify
UX Best Practices & Relevant Psychology
Relevant UX Best Practices
Users like to feel in control
actions are reversible / room for error
reduced cognitive load
easier decision-making in navigation
chunking: if there are too many options, categorize them into broader categories
existing mental models of the world reflected in design
design style consistency
Initial User Flow
Paper Prototype
Relevant Psychology
People enjoy planning
People enjoy activities more if they are roughly scheduled instead of exactly planned
20% of adult population are indecisive, usually due to fear of making the wrong decision
User Flow Ideation & Prototyping
“I know the timeline was pretty tight and not ideal for something like this but we really appreciate how you got these done in a timely manner. I think the insights we got especially for the itinerary part of the app were really valuable for us to develop. We enjoyed the user research process, ability to set deliverables and update us with them in a timely manner, and ultimately being open to input and suggestions as well.”
Testimonial
Hanoot Team
Low-Fi Prototype (based on feedback from paper prototype)
