Develop a money saving app that helps users get a better view of their finances by showing them the most useful insights generated by the AI algorhythm.
Manage bills and subscriptions with insight into the past and prediction of the future.
Figma, Sketch, Jira
The goal was to ship a working MVP built from scratch within just a few months. This opened a lot of possibilities and required preliminary research.
Teams adhered to Agile methodology and Sprints to plan the timeline.
I collaborated with company founders, developers and growth/marketing team to design, test and iterate.
By participating in spint planning and retrospectives I had a chance to have a high level view of the whole company's interdependencies and priotities, how different teams interact and work together, best ways to prioritize next most important thing and plan according to agile methodology.
After brainstorming and reviewing survey questions with the team I created a Google Form that was shared across our channels. Users could share their emails with us to participate in user interviews later.
These guidelines helped me come up with most effective questions:
Results confirmed most of our assumptions about pain points that make it difficult for people to save money (paying off debt, large purchases, etc.) and uncovered a few unexpected insights.
We compared features and interactions, defined what not to do, and what good practices we should get inspired by.
Insights from research were important to help determine which features to build and when.
After gathering as much data as possible during the research sprint, together with the team I used affinity mapping technique to synthesize findings that would be presented to dev and growth teams and stakeholders.
Based on those findings we identified two main homogenous groups of users that would benefit the most from our solution and were most numerous.
When it was clear, what our users wanted from an app like this, we started to brainstorm layout and main features together and independently. We always kept in mind our personas and based our ideas on user stories we created.
Main goals of creatinga user flow were:
Low fidelity visuals were purposefully used, so the team wouldn't get tempted to get into details and keep it high level.
First make it work, then make it beautiful.
Main goal of testing was to get feedback on the logic and mechanics of the app independently from visuals.
Design team iterated on wireframes and brainstormed new solutions after each round of user testing.
We gathered feedback on visuals as well as logic and simplicity of interactions and iterated after each round of testing.
Full prototype became too complex to update after every testing round, so we broke it down into small feature prototypes that we showed to users already familiar with the app. We used older prototypes to give new testers context first and then introduced partial prototypes.
Testing was conducted remotely via Zoom calls with Figma interactive prototypes. One person would lead the session and the other one take notes. Sessions we recorded with permission of the user for future reference.
After the round of testing was done, we transcribed insights into spreadsheets as objectively as possible, analyzed them and presented to the stakeholders before iterating on the design.
To ensure we are on the same page team held internal design critique workshops on a regular basis, adjusting priorities according to user feedback. Number of testers for each round was 4 to 6 people, so we took their feedback with a grain of salt.
At this point, I worked independently and with a design partner on iterations of existing designs to prepare for the next round of testing.
Not only users' feedback was taken into account, we also took inspiration from competitor apps to find most commonly used, intuitive interactions, signifiers and layouts.
Parts of the designs that were up to our baseline standard (i.e., equal or better to what users have right now) were handed over to the developers to build as a part of the MVP.
Communication was crucial to provide useful information regarding measurement units, common layouts for similar UI elements and pages.
Home page helps users get a bird's eye view of their spending on a weekly and monthly basis by showing how they are doing in the header and how much they've spend on each particular category at the bottom.
Spending prediction is the concept unique to Walletiai: the app uses a range of predictive algorhythms and statistical models to analyze user's habits and adapt on the fly.
On "Spending details" page user has access to latest activity for each customizable category with a meter in the header and transactions at the bottom.
This page gives user control over incoming bills and subscriptions. We named it "recurring" to encompass all regularly incoming payments.
Our research confirmed that people struggle keeeping track of their active and forgotten subscriptions.
In early iterations we had separate pages for bills and for subscriptions. That idea was abandoned because most users aren't sure in which category the payment belongs to or just prefer to have everything in one place.
It's easy to see most important information at a glance:
To help monitor any unusual or suspious activity Walletifai app has customizable and learning alerts.
In v 2.0 there are following alerts:
In case algorhythm detected wrong activity user can let the app know, so it can learn and give better alerts in the future.
During research phase we discovered that people are very concerned about security and are hesitant to link their bank accounts to third-party applications.
To win the trust of users we employed following strategies:
It was inspiring to be an integral part of creative process behind a product that aims to help people improve their lives.
Gained valuable experience participating and shaping many aspects of the product from scratch. This definitely strengthened my hands-on skills and knowledge of design process, empathy and design thinking.
Iterating fast, prioritizing ruthlessly, thinking outside of the box, solving problems from different angles and making it work - done all that.
Had a chance to collaborate and learn from talented and passionate professionals. Solving problems together is so much fun.
I have gained good understanding of fintech industry nuances, problems and strategies. Insights from financial advisors and regular people gave me broader understanding of not only people's financial lives but lives and personalitites in general.