Project Overview

Duration: 12 Weeks

Role : UX Researcher / UI Designer

School Project

CIBC is a major Canadian bank offering a comprehensive range of financial services, including personal banking, business banking, wealth management and investment services. It serves clients through both online platforms and physical branches.

We propose a new feature called "Happy Money" for the existing CIBC app. This feature would help users manage their mood spending—how their emotions influence their spending habits, by providing tools and insights to encourage more mindful and informed financial decisions.

Mood Spending
Shopping driven by emotions instead of actual needs. Whether you're feeling stressed, happy, or bored, these feelings can lead you to make impulsive purchases that your wallet might not be happy about.

Is this something we should be worried about?

Well it is… According to research, about 70% US citizens in their mid-30s are more likely to be affected by mood spending. Mood Spending is about how people's emotions influence their spending habits. It can lead to impulse purchases, overspending, and financial stress. Thus we decided to find a solution to solve this issue.

We found some pain points

01

Financial Strain

Emotional spending can lead to overspending, resulting in financial stress and difficulty managing budgets. This strain can contribute to debt and long-term financial instability.

02

Regret and Guilt

Many people experience regret and guilt after making purchases driven by emotions. This can lead to a cycle of negative feelings and further spending as a way to cope.

03

Impact on Savings Goals

Mood-driven spending can mess up people's savings and make it harder to reach their financial goals.


01

Financial Strain

Emotional spending can lead to overspending, resulting in financial stress and difficulty managing budgets. This strain can contribute to debt and long-term financial instability.

02

Regret and Guilt

Many people experience regret and guilt after making purchases driven by emotions. This can lead to a cycle of negative feelings and further spending as a way to cope.

03

Impact on Savings Goals

Mood-driven spending can mess up people's savings and make it harder to reach their financial goals.


However, as we began our research, we wondered if a budgeting app could address these issues effectively.

A budgeting app excels at monitoring and recording spending habits, providing users with a clear understanding of where their money goes. It also helps set and achieve financial goals, such as saving for a vacation or paying off debt.

However, a mood spending feature takes it a step further. Unlike traditional budgeting apps that track spending post transaction, this feature helps prevent impulsive purchases by providing guidance and intervention before the transaction takes place.

The design journey

01

Research

Gather information about the problem

02

Define & Ideate

Generate a range of possible solutions for the problem.

03

Prototype

Creating the visual representation of the final design

04

Visualize

Gather information about the problem

Research Phase

We kicked off our research by asking potential users, 'How do you shop?' It quickly became clear that shopping involves more than just clicking Add to Cart.We discovered that our moods have a big impact on our shopping behavior. When we're on top of the world or feeling really low, we're more likely to spend money.

To fully understand this, we used two different approaches, combined data analysis with interviews. Our findings were pretty surprising!

😥

More than 80%

are influenced by their mood when spending, especially during periods of stress or feeling down.

😖

More than 50%

manually track their spending, which many find time-consuming and inefficient.

😐

Almost 52%

have regretted purchases made in an emotional state.

Define and ideate

Brainstorming

We started by listing all the key features needed for the mood spending feature in the CIBC app. We sketched out possible user flows on a whiteboard, imagining how users would navigate the app.

User Flow in FigJam

Next, we took our brainstorming ideas and created a user flow in FigJam, mapping out the steps users would take.

Sketching Screens

Using the data from our brainstorming session, we sketched out each screen, focusing on the features and the welcome screens users would see when they first log in.

Say Hello to Lulu 👋🏼

After brainstorming, we created an ideal persona for our target audience which would highlight the goals, needs and personality of our target audience.

Name

Prototyping

We’ve brought our ideas to life through these wireframes. Crafted for testing and refinement, these blueprints are the foundation of our evolving design journey.

The Last Piece Falls into Place 🧩

After countless iterations, we've refined the user flow to perfection. Here it is.

Start your journey with Mood Spending

We’ll guide you through how your emotions can influence your spending habits.

Log Your Feelings with a Simple Tap

You’ll receive a friendly notification asking about your mood. Simply tap an emoji to log how you’re feeling—quick, easy, and insightful!

Classify Spending in Just a Few Taps

After shopping, the app will remind you to check what you bought. Was it planned or an impulse buy? Easily classify your spending with just a few taps.

Stay Mindful of Emotional Spending

If you’re near Walmart or Costco and feeling low, we’ll send you a reminder to watch out for emotional spending.

Monthly Spending Analysis

Get a personalized report on how your moods affected your spending and receive tips for smarter saving.

Track Your Progress

Use our interactive dashboard to see how your emotions impact your spending and take control of your financial health.

Wrapping it up… Here's the final UI

Where did we go wrong .

Through out the process we had to face two major road blocks, and which lead to two major iterations in the design.

Iteration 01

Initial Concept

  • Our initial concept involved showing users a list of transactions from the past week and having them choose an emoji (happy, neutral, or sad) to reflect how they felt about each purchase.

  • The idea behind this was that mood-related spending would likely result in the sad/regret emoji.

Limitations

  • It didn’t provide enough insight into mood spending.

  • It only identified mood spending after the purchase, rather than at the moment.

  • It wasn’t effective in preventing emotional spending.

Recognizing these limitations, we developed a new solution

  • Daily Mood Tracking: We introduced a feature that tracks users' moods daily. This allows us to better identify the link between their emotions and spending habits.

  • Smart Location Alerts: When users shop at places like Walmart or Costco, they receive reminders to stay mindful of their spending. This helps users avoid impulse buys before they happen.

Old purchase review screen

Smart Location Alerts

Iteration 02

Flaw

  • Inadequate Differentiation: Categorizing all transactions from superstores like Walmart and Costco as a single entry and asking users if the spending was mood-related did not differentiate between routine necessities and impulsive buys.

Solution

  • Implemented a bill scanning feature with AI to capture images of purchased items, allowing users to classify them as planned or unplanned for a more accurate assessment of mood spending.

Iteration 01

Initial Concept

  • Our initial concept involved showing users a list of transactions from the past week and having them choose an emoji (happy, neutral, or sad) to reflect how they felt about each purchase.

  • The idea behind this was that mood-related spending would likely result in the sad/regret emoji.

Limitations

  • It didn’t provide enough insight into mood spending.

  • It only identified mood spending after the purchase, rather than at the moment.

  • It wasn’t effective in preventing emotional spending.

Recognizing these limitations, we developed a new solution

  • Daily Mood Tracking: We introduced a feature that tracks users' moods daily. This allows us to better identify the link between their emotions and spending habits.

  • Smart Location Alerts: When users shop at places like Walmart or Costco, they receive reminders to stay mindful of their spending. This helps users avoid impulse buys before they happen.

Old purchase review screen

Smart Location Alerts

Iteration 02

Flaw

  • Inadequate Differentiation: Categorizing all transactions from superstores like Walmart and Costco as a single entry and asking users if the spending was mood-related did not differentiate between routine necessities and impulsive buys.

Solution

  • Implemented a bill scanning feature with AI to capture images of purchased items, allowing users to classify them as planned or unplanned for a more accurate assessment of mood spending.

Let's create
something
extraordinary
together.

Let's create
something
extraordinary
together.

Let's create something extraordinary together.

Mohammed Fazil

Mohammed Fazil

Contact me

+91 8129933568

Available for freelance

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Available for freelance

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