- Scope UI/UX design, development, QA
- Timeframes Ongoing since 2017
- Innovation Custom geolocalization integrated with Google Maps
- Technologies Swift, Kotlin, .NET Core, .NET, C#, React.JS
- Business sector Lifestyle
- Model of collaboration Time & Material
- iteo Team 2 UI designers
1 UX designer
1 iOS lead
2 iOS developers
2 QA specialists
The beginning of the work process
1st version of the product 1 release
1st version with the redesign
We delivered an advanced searching and filtering method, livechat, integration with Facebook, Google Maps and other Google applications. We also provided integration with Imagga, the content verification API, to automatically reject offers containing sensible content. To put it simply, it’s an Uber-like solution for small gigs in your neighbourhood, where you can connect with people who offer and need help.
Business needs & goals
It has been established that every year more and more U.S. citizens become a part of the gig economy based on flexible, temporary, and usually freelance jobs connecting people through an online platform.
It’s a significant nod towards a new lifestyle adaptable to the workers’, consumers’, and businesses’ needs and demands.
Our client wanted to participate in this substantial alteration and develop a simple, hi-tech solution for people who’d like to take what’s best from the share economy.
We were fully onboard with our technological knowledge and experience in various branches and undertook the challenge of creating a usable and appealing app for all the gig lovers.
The app’s main task is to provide its users with an online space in which they can share the jobs they aren’t able to do or simply don’t have time to complete, or offer help with somebody else’s chores. It works locally, so people can scroll or add jobs in their neighbourhood.
If a user wants to earn some money, it’s super easy to start. First they just need to select the jobs they’re interested in, contact the offer giver, and seal the deal. After the chore is done, they earn a predefined amount of money.
If, on the other hand, a user needs someone for the rescue in times of need, it’s just a matter of posting a picture of a gig, describing it, and publishing the offer for a quick response.
The most appealing and functional features of the app are:
Intuitive interface – a user-friendly space which allows
swift and seamless operations including both posting
and accepting the offers,
Notifications – applicative mode that notifies users about
new gigs in the nearest area and continuously keeps
Livechat – a simple, useful tool for contacting people who
might be interested in an offer with no need to disclose a
private phone number or email address.
Simple and fun – accepting or posting an offer only takes
a few seconds, it’s easy, intuitive, and enjoyable.
Adjustable – a single user can be both an offer giver or
taker, it’s all up to his current needs and willingness.
Initially, we created a web portal based on the existing application.
We improved the app’s flow, eliminated its errors, and added new features. The portal was responsive and worked flawlessly on smartphones, tablets, and desktops.
What’s new, we created a business profile for users and a division of offers into the searched and posted ones. We uprated the search engine, results filtering, adding offers, inner chat, rating system, and account management.
Next step was to rebuild the mobile application so it could accurately correspond with the web portal’s features and possibilities. Thanks to the functional and visual alterations, the current version of the app covers all the essential areas of a web portal.
First off, it’s worth mentioning that our Wage’s Behance presentation won a Feature in Adobe XD and Interaction categories.
We had an opportunity to create two design versions. Initial working process involved preparing a simple and visually pleasant logo – a bit playful to make the app more accessible. We established a geometrical font (Montserrat) and a set of three color versions for the client’s choice (red, yellow, blue). We came up with an idea of tiles, too.
About a year later, the project’s redesign was based on the assumptions from the first version, including enhancements such as: systematizing the views, making use of horizontal and vertical grids, creating a base of reused components, and imparting it all with a new visual value.
In the course of time, the functionality of choosing the most appropriate color from the three available turned out to be dispensable, so we gave it up in the second version of the design. We simplified the logo and built a new set of icons, adopting a primary color – vibrant violet – and establishing a secondary one – turquoise. The designs were adjusted for web, mobile, and tablet scale.
Compared to the initial project which involved patterns based on logo and graphical element multiplication, the second one is more serious and business-like, but still simple and fun.
Challenges & solutions
The client wanted to provide the app with a simple yet safe solution allowing a problem-free contact among users posting or accepting offers.
We came up with an idea to connect the app with a livechat function to let the users communicate with each other easily, without having to disclose their personal information, such as name, phone number or email address. We made sure that all the connections are authentic and prevented the chat from getting spammed.
We prepared custom geolocalization integrated with Google Maps which displays the nearest jobs in a user’s neighbourhood.
If a person zooms the map out, all the conterminous tasks congregate together.
What’s more, we made it possible to narrow down the search results using filters based on the distance from a current location. All these options notably simplify the process of searching for a desired task in a preferable location.
Testing was based on the Wage’s user stories and performed on mobile, iOS and Android, as well as web applications.
Functional tests were a basis for verifying if all the functions work properly, and if the software corresponds with the defined and expected users’ needs.
Exploration testing helped us find other bugs and add these cases to the regression tests.
Regression tests allowed us to verify if the previously working functionalities are still valid after implemented alterations.
API tests with Insomnia. We applied a series of requests and tested all the endpoints with various combinations of data sets.
The app came out as a great solution for people who:
Want to make money easily on their own terms and schedule
Are a stay at home parent or a college student
Don’t have enough time for the full-time employment
Lost their job and are looking for something temporarily
Want to outsource paid gigs or tasks and efficiently hire local help
Support local relationships
And who represents the Wage app community?
The solution is commonly used by people providing and searching for all kinds of tasks: cleaning houses, removing garbage, washing cars, taking photographs, editing videos and photos, babysitting, gardening, cleaning pools, walking dogs, mowing lawns, doing common repairs, and many more.