Building the perfect ambiance for socializing and connecting people to places
UNWD (Unleash New Ways to Discover), aimed at helping users find exciting and entertaining activities to enjoy with friends and loved ones in their local area. The app aims to foster social connections and create memorable experiences.
I played the role of interviewing and talking with target user of the product, analyzing data from surveys, designing UI screens, and building a minimal viable product with a low code builder (flutterflow).
MY ROLE
- Product Design
- User Research
- Rapid Prototyping
- Low code development
Tools Used
Notion, google forms , Figma and Flutterflow
Looking for a fun place close to you?...
Try unwind
There were a couple of iterations before a final result was achieved and even with that result the journey to the actual solution really relies on the customer behaviour and how its adopted.
Not sure about hanging out at a particular spot? Well read and write reviews within the community.
Imagine our app’s Hangout Reviews as your friendly, local guidebook. It’s like having a conversation with a trusted friend who knows all the best places. You can read heartfelt reviews and ratings from people just like you, and in return, share your own hangout adventures. It’s like being a part of a close-knit community, where every review is a personal story waiting to be told and heard.
Get ready to Unleash New Ways to Discover (UNWD)
The UNWD app successfully connects users with fun and meaningful activities, enhancing their social lives and helping them create lasting memories with friends and loved ones. With a user-friendly interface, personalized recommendations, and a vibrant visual identity, UNWD becomes a go-to platform for discovering exciting local experiences and strengthening social bonds.
In the design of the UNWD app, extensive research data played a pivotal role in shaping user experiences. Our data-driven approach allowed us to understand our target audience’s demographics, behaviors, and preferences. We meticulously analyzed the data retrieved from surveys and interviews which were in tune with users’ needs. In addition, we gathered feedback and ratings, allowing us to refine the user interface and enhance overall satisfaction. This research not only informed the app’s design but also enabled us to make data-driven decisions that prioritized user-centric design principles.
Sample Size
67 of 80 Respondents
Surveys and Interviews were carried out in order to gather data for our reasearch.
Age Demographic
35.8%
were 18-25 years
35.8%
were 26-30
years
22.4%
were 31-35
years
6%
were 36-40
years
Leisure Activity Frequency
59.7%
Once in a while
28.4%
Monthly
9%
Weekly
3%
Twice a week
Types of interested activities
67.2%
61.2%
56.7%
47.8%
41.8%
31.3%
23.9%
20.9%
19.4%
17.9%
1.5%
Clubbing
1.5%
Interest in solution
97%
were interested
3%
not interested
Recommended Channels
35.8%
From friends
35.8%
Instagram
61.2%
Word of mouth
28.4%
Google maps
14.9%
Twitter
7.5%
Tiktok
9%
Other