Steady
Household financial visibility for couples
Kevin Gao · Product Designer
2
"Can we afford a trip to Japan this summer?"
Three seconds of silence.
Not because the answer is no, because the number doesn't exist.
This isn't a budgeting problem. It's a visibility problem.
3
The visibility gap
Scattered
Money lives across 4 bank accounts, 3 credit cards, and 2 Venmo accounts. No single view exists.
Individual tools
YNAB, Monarch, and Copilot treat money as personal. Honeydue shows two separate views, not one household picture.
Avoidance
Without a clear number, couples skip the conversation. Financial decisions get made on feeling, not facts.
Core insight: Couples don't need another budgeting app. They need a single, shared picture of where they stand.
4
RESEARCH
Understanding how couples navigate money
01
Diary Study
6 couples tracked moments when they wanted household financial clarity for 1 week
Capture real triggers in context
02
Couple Interviews
Joint sessions with all 6 couples to explore diary entries and observe partner dynamics
See the two-person interaction
03
Affinity Mapping
Clustered diary entries + interview quotes into patterns that drive design decisions
Find the design-driving insights
5
DIARY STUDY FINDINGS
Three patterns emerged from daily entries
📅
Planning triggers
Conversations about trips, big purchases, or moving surfaced the gap, "we realized neither of us actually knows our total."
5 of 6 couples
🔔
Surprise triggers
Seeing a partner's purchase notification and wondering if the household budget could absorb it, but not having a number to check against.
4 of 6 couples
🚪
Avoidance endings
Most moments ended with "let's figure it out later" instead of opening 3 apps to piece together the picture.
6 of 6 couples
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COUPLE INTERVIEW INSIGHTS
What I heard when couples talked together
The transparency paradox
Every couple said they want transparency. But when asked "would you let your partner see every purchase?" Most hesitated. Privacy isn't about hiding. It's about trust.
"I want to know the big picture, not judge her coffee habit."
→ Privacy must be a shared agreement, not a setting
Same number, different feelings
Showing couples a combined monthly spending total: one partner said "that's fine" while the other said "that's too much." The same data triggers different emotional responses.
"When I see red numbers, I feel like I did something wrong."
→ Numbers need emotional context, not color judgment
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SYNTHESIS
Three design-driving insights
1
Visibility first
People don‘t need a budget tool, they need one picture. See the full household, then decide what to do.
2
Privacy as trust
Privacy isn't "hiding." It's "I trust you don't need to see my every purchase." A shared agreement, not a toggle.
3
Gentle numbers
Raw numbers trigger anxiety and blame. Context, trends, ranges, plain language. Lets couples interpret together without judgment.
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DESIGN STRATEGY
Three pillars from research to product
01
One Picture
A unified household dashboard, see everything in one glance
02
Agreed Privacy
Personal spending budgets set together, only totals shared
03
Gentle Numbers
Contextual, neutral data presentation mirror, not scorecard
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ONE PICTURE — ONBOARDING
Inviting your partner in
Link & invite
Solo view while waiting
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AGREED PRIVACY — SETUP
Setting boundaries together
Not a settings page, it’s a conversation.
Propose → Respond → Agree
One partner suggests an amount, the other confirms or adjusts. Both must agree before it takes effect.
Mutual, not unilateral
Either person can change the amount anytime, but the other gets notified and must re-agree.
Total visible, details private
Your partner sees how much of your personal budget you've used. Never the individual transactions.
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ONE PICTURE — DASHBOARD
Dashboard — first approach
Standard financial presentation
This initial version used conventional financial app patterns: red for negative, green for positive, percentage-based comparisons.
Red net worth
−$2,802 displayed in red with "You owe more than you have" badge
Green/red split
Assets in green, debts in red, immediate moral judgment on the numbers
+23% vs Feb
Percentage comparison invites "who spent more?" instead of "where did it go?"
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ONE PICTURE — SPENDING
Where the money goes
Household-level categories
Both partners' spending merged into shared categories. "Food $682" includes the Whole Foods run, the Costco trip, Uber Eats — all under one total, not split by person.
Smart auto-categorization
Uber Eats was initially categorized as Transportation. The system detects food delivery merchants and recategorizes automatically — shown with a "Moved from Transportation" note so users can verify and correct if needed.
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AGREED PRIVACY — PERSONAL SPACE
Your money, your details
The privacy boundary in action
Your view
Full transaction history: Blue Bottle Coffee $6.50, Uniqlo $52.42, Steam $29.99... every detail visible.
Partner's view
Summary only: "Kevin — $184.20 of $300 used." No transaction names, no amounts, no judgment.
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GENTLE NUMBERS — INSIGHTS
Mirror, not judge
Weekly summaries that inform, not alarm
"Dining out was up this week" plain language that tells you what changed without implying you did something wrong. Compare to "ALERT: Food spending exceeded budget by 23%!"
Traditional
⚠ You overspent by $200!
Steady
Dining out was up, about $200 more than last week
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Testing the emotional response
Method
Prototype walkthrough with realistic financial scenarios
Participants
3 couples from the original diary study
Focus
Dashboard number presentation + personal spending privacy boundary
Scenario
Household with negative net worth and above-average monthly spending
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TESTING FINDINGS
Red numbers trigger blame, not action
2 of 3
couples
When one partner saw the red negative net worth, they became defensive: "That student loan isn't my fault." The color turned a shared number into a personal accusation.
+23%
triggered
The percentage comparison ("spending up 23% vs Feb") made couples immediately ask "who spent more?" instead of "where did it go?“, the opposite of what I wanted.
3 of 3
preferred
All couples preferred seeing context ("slightly above your 3-month average") over judgment (red/green, up/down arrows). They wanted a mirror, not a report card.
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ITERATION
From judgment to context
Before
After
→
Red → neutral dark
→
"You owe more" → "Improving — up $340"
→
+23% badge → "Slightly above average"
→
3-month range bar added
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GENTLE NUMBERS — FINAL DASHBOARD
The iterated household view
Neutral colors throughout
Trend, not judgment
3-month context range
"Slightly above average"
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OUTCOMES
What Steady achieves
9 → 1
Visibility
Four banks, three cards, two Venmo accounts, scattered with no single view. Now one screen shows the full household.
3/3
Privacy comfort
All tested couples accepted merged viewing with the personal allowance mechanism. Trust-based boundary, not forced transparency.
0
Defensive reactions
After iteration, zero couples showed defensive behavior seeing their household numbers. Down from 2 of 3 with v1's red/green approach.
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Sunday night, revisited.
"Can we afford Japan this summer?"
Open Steady. Three seconds later:
household net worth, spending trends, and where the money's going all on one screen.
The conversation continues with a real number this time.
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REFLECTION
With more time
Real negotiation friction
The personal allowance agreement was pre-set in prototyping. In reality, negotiating "how much personal spending is OK" might be its own source of tension. A longitudinal study would reveal whether the mechanism helps or hurts.
Plaid categorization accuracy
Auto-categorization works well in prototypes with clean data. Real bank transactions are messy, "UBER TRIP" vs "UBER EATS" distinction requires ongoing ML refinement and user correction loops.
Visibility vs. surveillance
There's a fine line between "we can see our finances together" and "I can monitor your spending." Designing guardrails like the personal space boundary is essential, but I haven't tested long-term dynamics over months of use.
Longitudinal validation
Does Steady actually change how couples communicate about money? 2-4 weeks of real use would show whether financial conversation frequency and quality improve, or whether couples revert to avoidance patterns.
Thank you
Kevin Gao
huawengao@gmail.com