Case study, part 1 of 2

Designing SpendWise

A spending confidence platform that meets people at the moment an emotional purchase decision is being made. This page covers the research and thinking. Part 2 covers the interface, testing plan, and business model.

Role
Design, engineering, cloud
Scope
Concept and prototype design
Tools
Figma, JS, AWS
Status
Design concept; demo in progress
Data status
Survey and interview figures in section 04 are illustrative and written to show how findings map to design decisions. They are not from real participants. Third-party statistics are being verified against their sources. This notice is removed once real fieldwork replaces the placeholder data.
01 Problem

People know what they should do with money. They struggle to do it in the moment.

Most overspending is not a knowledge problem. It happens when someone is stressed, bored, or comparing themselves to others, and a purchase offers immediate relief. The decision is emotional. The regret is rational, and it arrives after the order is placed.

Budgeting apps respond with categories and dashboards. That is like putting a scale in the kitchen and expecting it to change what people eat. The information is not missing. The intervention is arriving at the wrong time.

The goal is not to stop people spending. It is to help them make purchases they will not regret.

User problem

No tool recognises an emotionally vulnerable moment and offers a pause before checkout. Every existing tool arrives after the money is gone.

Merchant problem

Returns cost merchants heavily, and a share are regret returns from impulsive buying. Merchants have no visibility into why.

02 Opportunity

A large cost with no behavioural solution on the market.

$816B
US retail returns, 2022Source: NRF. Verify before publishing
~28%
E-commerce purchases returnedSource: NRF. Verify before publishing
84%
Consumers who report impulse buyingSource: to be confirmed

Competitor review covered budgeting tools (Mint, YNAB, Copilot, Monarch) and buy now pay later providers (Klarna, Afterpay). None combines emotional context, an intervention at the point of purchase, and merchant analytics. The BNPL providers sit in the same structural position between shopper and store, but they earn more when people spend more. SpendWise earns more when people spend better.

03 Psychology

Every feature traces to a specific mechanism.

Kahneman, 2011

Two systems

Impulse buying is fast, automatic System 1 thinking. Regret is System 2 arriving late. The product creates a moment of System 2 before the purchase completes.

Thaler and Sunstein, 2008

Nudges

Small, well timed prompts change behaviour more reliably than restrictions. The app asks. It never blocks.

Fogg, 2019

Behaviour model

Behaviour needs motivation, ability, and a prompt at the right moment. The prompt fires when the item enters the cart.

Deci and Ryan, self-determination theory

Shame backfires

Restriction and judgement trigger reactance. That is why there are no red flags, no verdict on past purchases, and the word "impulse" never appears in the interface.

Ariely, 2008

Arousal distorts value

People in a heightened emotional state misjudge how much that state is driving the decision. This is the case for emotion aware prompts.

The intervention sits between anticipation and purchase, the only point in the loop where a prompt can change the outcome.

04 Research

The survey and interviews were designed to break the plan.

The method is a short behavioural survey followed by semi structured interviews. Survey questions ask about specific recent situations rather than self assessment, because people describe how they wish they behaved. Figures below are placeholders and are labelled as such.

What were you doing right before your last regretted purchase?
Scrolling social media
67%
Stressed about work or money
54%
Bored at home
48%
Late at night
44%
Comfort with on-device camera emotion detection
Fine if data stays on device
41%
Depends on the app
27%
Uncomfortable
22%
Would never allow it
10%
01

Nobody identifies as an impulsive spender

People describe their purchases as deals, treats, or practical choices. The product cannot lead with the word impulse.

02

The regret is about control, not money

The recurring theme is "I knew I shouldn't and did it anyway." The product targets the feeling of self control rather than savings.

03

The cart is the commitment point

Adding to cart shifts the question from "should I" to "why wouldn't I". The intervention moves from checkout to add to cart.

04

People already try to pause, and it fails

Rules like "wait 24 hours" exist but rarely hold. The product scaffolds a behaviour people already attempt.

05

One embarrassing notification ends trust

Quiet mode is on by default, and nothing about financial state is visible on a lock screen.

05 Personas

Three behavioural patterns, three people.

JT
Jordan, 24
Recent graduate, first finance job. Stress spender.

Context

  • Spends most on Sunday evenings after a hard week
  • Feeds are the discovery channel
  • Deleted two budgeting apps within three weeks

What SpendWise does

  • Names the emotion without judgement
  • Connects a purchase to the travel goal, no blocking
  • Catches the Sunday pattern early
MP
Maya, 34
Senior designer, two kids. Boredom and comparison spender.

Context

  • Browses on work breaks and after bedtime
  • High return rate, does not feel emotional while buying
  • Finds finance tools condescending

What SpendWise does

  • Surfaces patterns she cannot see, framed as insight
  • Makes the cooling period feel like a feature
  • Shows her own return history
DK
Devon, 41
Sole proprietor, Shopify seller. Reward spender.

Context

  • Business and personal spend blur together
  • Spends after both good and bad months
  • Data driven, dislikes being lectured

What SpendWise does

  • Frames the check as insight, not restriction
  • Separates emotional from intentional spend over time
  • Doubles as a merchant integration target
06 Empathy map

Jordan, Sunday, 9pm.

Empathy maps work best for a specific scenario. This is the highest risk moment for the first persona.

Sees

  • A feed of polished lifestyle products
  • A "limited time" badge on something viewed three times
  • A bank balance lowered by rent

Hears

  • A quiet apartment
  • An inner voice: "you earned this"
  • Her parents: "save more"

Thinks and feels

  • "I'll feel better if I just buy it"
  • Anxiety about the week compressed into one decision
  • Small guilt, quickly overridden

Does

  • Opens the page three times before adding to cart
  • Checks the return policy, a sign of doubt
  • Checks out in under 90 seconds to outrun the doubt
07 What the research changed

Four decisions that did not survive contact with the evidence.

BeforeImpulse check at checkout
→
AfterCheck in when an item is added to cart
Before10 question quiz ending in an impulsivity percentage
→
After3 questions, then a forward looking confidence score
BeforeSmart and Impulsive labels on past purchases
→
AfterNeutral outcomes: bought, paused, removed
BeforeStandalone shop tab inside the app
→
AfterApp as home base plus a browser extension at checkout

Continue with the interface, flow, testing plan, and business model.

Read part 2: process → View demo status →