Personal Finance App Case Study
I designed a calm gifting and budgeting journey that helps users create meaningful financial actions without complexity.
BudgetTree is a personal finance app built around budgeting and goal-based gifting: money is set aside towards a specific gift or goal rather than an abstract category. This case study covers the setup and gifting journeys.

The problem
BudgetTree asked users to construct a budget before it gave them anything back. The setup cost was paid up front and the reward arrived, if at all, several sessions later.
User pain
Business pain
Product gap
What I owned
Owned
Collaborated
Out of scope
The results
+29%
gift creation completion
-35%
drop-off in setup flow
4.5/5
flow simplicity score
Users completed gifting tasks with less effort and more certainty. Critical setup flow became shorter and more intuitive. Improved completion supports repeat event-driven usage.
The approach
I designed the reward first and the structure around it, so the product earns the setup effort it asks for instead of assuming it.
Discover
Mapped user and business friction through interviews, workflow audits, and benchmark analysis.
Prioritize
Ranked opportunities by impact on activation, task success, and decision confidence.
Design
Built IA, interaction patterns, and high-fidelity solutions with clear state behavior.
Validate
Tested critical flows, measured drop-offs, and iterated before development handoff.
The decisions
The calls that shaped the product, with what each one cost. Anything crossed out here was a real option at the time.
Decision 1: Entry point
Users entered app but did not know first action.
Considered
Chose
Occasion-first with prefilled template journeys
Gave up
Reduced early access to advanced settings
On what evidence
Users picked occasions faster than financial categories
What happened
Completion improved by 29%
Decision 2: Budget guidance
Users overshot budgets during setup then abandoned.
Considered
Chose
Live budget meter with threshold nudges
Gave up
Added visual component in dense screen
On what evidence
Abandonment spikes followed payment review stage
What happened
Flow drop-off reduced by 35%
Decision 3: Confirmation path
Users needed emotional clarity plus transaction certainty.
Considered
Chose
Celebratory confirmation with clear receipt states
Gave up
One extra visual layer
On what evidence
Users asked for reassurance after payment step
What happened
Higher trust and repeat intent
The work
A gift or goal can be created in a single pass, and the category structure builds itself out of that action rather than being demanded before anything useful happens.

Occasion setup
Start from user intent, not system complexity.

Budget controls
Keep spending confidence visible through the flow.

Confirmation
Close with emotional and transactional clarity.
Targets, set up front
Metric
Baseline
Target
Result
Measured in
Gift creation completion
Baseline 41%
Target 52%+
Result 53%
pilot batch
Flow drop-off
Baseline 40%
Target <30%
Result 26%
funnel check
Simplicity score
Baseline 3.6/5
Target 4.2+
Result 4.5/5
usability survey
Outcomes in detail
More successful gifting outcomes
Lower abandonment
Better user confidence
Reflection
What worked
Occasion-first flow aligned naturally with user mental models.
What to improve
Add collaborative gifting journeys for family groups.
Next experiment
Test predictive budget suggestions by event type.
