dolr - Personal Dashboard Redesign

Reducing Cognitive Load & Improving Retention for First-Time Budgeters

dolr - Personal Finance Dashboard Redesign

Reducing Cognitive Load & Improving Retention for First-Time Budgeters

dolr - Personal Finance Dashboard Redesign

Reducing Cognitive Load & Improving Retention for First-Time Budgeters

1.Overview

2.UX Problems

3.Who I designed For

4.Ux Goals

5.Heuristics & Research insights

6.Info-Architect Redsign

7.Key Design Decisions

8.Flow Improvements

9.Validation & Impact

10.Final outcome

1. Overview

Most personal finance apps scare beginners away before they form a habit. The dashboards are dense, graph-heavy, and overloaded with numbers that require emotional and cognitive effort to understand.

I redesigned the dashboard experience for a mobile money-management app with a clear objective:

Make money feel simple, intuitive, and calming — especially for first-time budgeters.

My focus was to restructure information hierarchy, reduce overwhelm, and turn the expense-logging action into a 3-second habit.

1. Overview

Most personal finance apps scare beginners away before they form a habit. The dashboards are dense, graph-heavy, and overloaded with numbers that require emotional and cognitive effort to understand.

I redesigned the dashboard experience for a mobile money-management app with a clear objective:

Make money feel simple, intuitive, and calming — especially for first-time budgeters.

My focus was to restructure information hierarchy, reduce overwhelm, and turn the expense-logging action into a 3-second habit.

1. Overview

Most personal finance apps scare beginners away before they form a habit. The dashboards are dense, graph-heavy, and overloaded with numbers that require emotional and cognitive effort to understand.

I redesigned the dashboard experience for a mobile money-management app with a clear objective:

Make money feel simple, intuitive, and calming — especially for first-time budgeters.

My focus was to restructure information hierarchy, reduce overwhelm, and turn the expense-logging action into a 3-second habit.

2. Problem

The Reality of Money Apps

A large portion of churn happens within the first week, not because the product lacks features, but because:

  • Users feel overwhelmed

  • They can’t interpret the dashboard quickly

  • The interface feels like “work”

  • Adding an expense takes too many steps

  • Data is thrown at them instead of explained

    To address this, the dashboard needed to become:

    • simpler

    • more guiding

    • and aligned with actual user priorities

2. Problem

The Reality of Money Apps

A large portion of churn happens within the first week, not because the product lacks features, but because:

  • Users feel overwhelmed

  • They can’t interpret the dashboard quickly

  • The interface feels like “work”

  • Adding an expense takes too many steps

  • Data is thrown at them instead of explained

    To address this, the dashboard needed to become:

    • simpler

    • more guiding

    • and aligned with actual user priorities

2. Problem

The Reality of Money Apps

A large portion of churn happens within the first week, not because the product lacks features, but because:

  • Users feel overwhelmed

  • They can’t interpret the dashboard quickly

  • The interface feels like “work”

  • Adding an expense takes too many steps

  • Data is thrown at them instead of explained

    To address this, the dashboard needed to become:

    • simpler

    • more guiding

    • and aligned with actual user priorities

3. Who I Designed For

Beginner Budgeters

People who want to track their money but aren’t “financial people”:

  • College students

  • First jobs / early career

  • Young adults setting their first budgets

    Behaviour Patterns

  • They abandon dashboards that feel “too analytical”

  • They don’t dig deep for insights

  • They only trust what’s visible upfront

  • They respond better to simple visuals than long summaries

3. Who I Designed For

Beginner Budgeters

People who want to track their money but aren’t “financial people”:

  • College students

  • First jobs / early career

  • Young adults setting their first budgets

    Behaviour Patterns

  • They abandon dashboards that feel “too analytical”

  • They don’t dig deep for insights

  • They only trust what’s visible upfront

  • They respond better to simple visuals than long summaries

3. Who I Designed For

Beginner Budgeters

People who want to track their money but aren’t “financial people”:

  • College students

  • First jobs / early career

  • Young adults setting their first budgets

    Behaviour Patterns

  • They abandon dashboards that feel “too analytical”

  • They don’t dig deep for insights

  • They only trust what’s visible upfront

  • They respond better to simple visuals than long summaries

Simple, User-first finance experience

Simple, User-first finance experience

Simple, User-first finance experience

4. UX Goals

To translate user behaviour into product decisions, I set four clear goals:

  1. Reduce cognitive load by restructuring the dashboard to reflect human mental models.

  2. Make the primary action—“Add Expense”—instant.

  3. Surface only high-priority information above the fold.

  4. Use visuals and cues to guide spending behaviour, not overwhelm users with data.

4. UX Goals

To translate user behaviour into product decisions, I set four clear goals:

  1. Reduce cognitive load by restructuring the dashboard to reflect human mental models.

  2. Make the primary action—“Add Expense”—instant.

  3. Surface only high-priority information above the fold.

  4. Use visuals and cues to guide spending behaviour, not overwhelm users with data.

4. UX Goals

To translate user behaviour into product decisions, I set four clear goals:

  1. Reduce cognitive load by restructuring the dashboard to reflect human mental models.

  2. Make the primary action—“Add Expense”—instant.

  3. Surface only high-priority information above the fold.

  4. Use visuals and cues to guide spending behaviour, not overwhelm users with data.

5. Heuristics & Research Insights

From mining user reviews, app store feedback, Reddit discussions, and competitor analysis, I learned:

  • Users don’t understand dashboards with too many equal-weight cards.

  • They want reassurance: “Am I on track or not?”

  • They log expenses impulsively — so the CTA must be unmistakable.

  • Visual categories are easier to digest than text-heavy reports.

  • A simple bar chart communicates spending boundaries better than a complex line graph.

This shaped the information architecture.

5. Heuristics & Research Insights

From mining user reviews, app store feedback, Reddit discussions, and competitor analysis, I learned:

  • Users don’t understand dashboards with too many equal-weight cards.

  • They want reassurance: “Am I on track or not?”

  • They log expenses impulsively — so the CTA must be unmistakable.

  • Visual categories are easier to digest than text-heavy reports.

  • A simple bar chart communicates spending boundaries better than a complex line graph.

This shaped the information architecture.

5. Heuristics & Research Insights

From mining user reviews, app store feedback, Reddit discussions, and competitor analysis, I learned:

  • Users don’t understand dashboards with too many equal-weight cards.

  • They want reassurance: “Am I on track or not?”

  • They log expenses impulsively — so the CTA must be unmistakable.

  • Visual categories are easier to digest than text-heavy reports.

  • A simple bar chart communicates spending boundaries better than a complex line graph.

This shaped the information architecture.

dolr.

add a spend

takes 12 seconds, saves a ton

Nov Savings $1000

Nov Income

$2500

Total Savings $ 15000

Nov budget $ 1000

Spent so Far

$700

Remaining $ 300

Recent spendings

Nike Outlet

15th Nov, 2025

$137

Starbucks

15th Nov, 2025

$17

Walmart

12th Nov, 2025

$57

Amazon delivery

14th Nov, 2025

$33

Starbucks

12th Nov, 2025

$15

Oops! $720 on food this month—$200 over budget.

Food

$720

Travel

$540

Gas

$270

Subscription

$180

Coffee

$170

Last 30 days - $1157

$500

$100

$50

$10

$0

Oct 1-7

Oct 8-14

Oct 15-22

Oct 23-31

dolr.

add a spend

takes 12 seconds, saves a ton

Nov Savings $1000

Nov Income

$2500

Total Savings $ 15000

Nov budget $ 1000

Spent so Far

$700

Remaining $ 300

Recent spendings

Nike Outlet

15th Nov, 2025

$137

Starbucks

15th Nov, 2025

$17

Walmart

12th Nov, 2025

$57

Amazon delivery

14th Nov, 2025

$33

Starbucks

12th Nov, 2025

$15

Oops! $720 on food this month—$200 over budget.

Food

$720

Travel

$540

Gas

$270

Subscription

$180

Coffee

$170

Last 30 days - $1157

$500

$100

$50

$10

$0

Oct 1-7

Oct 8-14

Oct 15-22

Oct 23-31

dolr.

add a spend

takes 12 seconds, saves a ton

Nov Savings $1000

Nov Income

$2500

Total Savings $ 15000

Nov budget $ 1000

Spent so Far

$700

Remaining $ 300

Recent spendings

Nike Outlet

15th Nov, 2025

$137

Starbucks

15th Nov, 2025

$17

Walmart

12th Nov, 2025

$57

Amazon delivery

14th Nov, 2025

$33

Starbucks

12th Nov, 2025

$15

Oops! $720 on food this month—$200 over budget.

Food

$720

Travel

$540

Gas

$270

Subscription

$180

Coffee

$170

Last 30 days - $1157

$500

$100

$50

$10

$0

Oct 1-7

Oct 8-14

Oct 15-22

Oct 23-31

6. Information Architecture Redesig

Before

Typical dashboards present:

  • 10–12 metrics at once

  • blurred priority levels

  • multiple CTAs

  • deeply nested categories

  • no clear sense of “What should I look at first?”

After (My IA Strategy)

I applied a three-tier priority system:

Primary (Always Visible)

The essential “state of the month” snapshot:

  • Budget

  • Remaining balance

  • Monthly spent

These represent what every beginner cares about first.

Secondary (One Tap Down)

Contextual, but not urgent:

  • Total income

  • Monthly savings

  • Total savings

Tertiary (Scroll)

Deeper insights:

  • 30-day spending trends

  • Recent transactions

  • Category-level expenses

This progressive disclosure keeps the top clean while still giving depth to curious users

6. Information Architecture Redesig

Before

Typical dashboards present:

  • 10–12 metrics at once

  • blurred priority levels

  • multiple CTAs

  • deeply nested categories

  • no clear sense of “What should I look at first?”

After (My IA Strategy)

I applied a three-tier priority system:

Primary (Always Visible)

The essential “state of the month” snapshot:

  • Budget

  • Remaining balance

  • Monthly spent

These represent what every beginner cares about first.

Secondary (One Tap Down)

Contextual, but not urgent:

  • Total income

  • Monthly savings

  • Total savings

Tertiary (Scroll)

Deeper insights:

  • 30-day spending trends

  • Recent transactions

  • Category-level expenses

This progressive disclosure keeps the top clean while still giving depth to curious users

6. Information Architecture Redesig

Before

Typical dashboards present:

  • 10–12 metrics at once

  • blurred priority levels

  • multiple CTAs

  • deeply nested categories

  • no clear sense of “What should I look at first?”

After (My IA Strategy)

I applied a three-tier priority system:

Primary (Always Visible)

The essential “state of the month” snapshot:

  • Budget

  • Remaining balance

  • Monthly spent

These represent what every beginner cares about first.

Secondary (One Tap Down)

Contextual, but not urgent:

  • Total income

  • Monthly savings

  • Total savings

Tertiary (Scroll)

Deeper insights:

  • 30-day spending trends

  • Recent transactions

  • Category-level expenses

This progressive disclosure keeps the top clean while still giving depth to curious users

7. Key Design Decisions & Rationale

A. Primary CTA: Add Expense (3-second interaction)

Users need this daily. So I:

  • moved it to a central, prominent location(Z pattern)

  • reduced competing elements around it

  • ensured one-handed usability

Why this matters:

Fast actions = more usage = stronger habit formation.

B. Dashboard Cards Based on Human Mental Models

Users understand their money in four simple buckets:

  1. What’s left in the budget

  2. What I’ve spent

  3. What I earned

  4. What I saved

Instead of overwhelming them with numbers, I turned these into:

  • clean, high-contrast cards

  • clear labels

  • single-glance insights

This reduces cognitive load and matches how people actually think.

C. Over-Budget Alerts (Visual Guidance)

Introducing:

  • color-coded warnings

  • bar charts that “fill” as spending increases

  • clear notification when a category exceeds the limit

This shifts the app from passive (“Here’s the data”) to active (“Here’s what you should pay attention to”).

D. 30-Day Trend Visualization

Instead of a bulky analytics page, users get:

  • one clean graph

  • recognizable icons

  • trend lines that explain spending behavior over time

This supports self-awareness without intimidating users.

7. Key Design Decisions & Rationale

A. Primary CTA: Add Expense (3-second interaction)

Users need this daily. So I:

  • moved it to a central, prominent location(Z pattern)

  • reduced competing elements around it

  • ensured one-handed usability

Why this matters:

Fast actions = more usage = stronger habit formation.

B. Dashboard Cards Based on Human Mental Models

Users understand their money in four simple buckets:

  1. What’s left in the budget

  2. What I’ve spent

  3. What I earned

  4. What I saved

Instead of overwhelming them with numbers, I turned these into:

  • clean, high-contrast cards

  • clear labels

  • single-glance insights

This reduces cognitive load and matches how people actually think.

C. Over-Budget Alerts (Visual Guidance)

Introducing:

  • color-coded warnings

  • bar charts that “fill” as spending increases

  • clear notification when a category exceeds the limit

This shifts the app from passive (“Here’s the data”) to active (“Here’s what you should pay attention to”).

D. 30-Day Trend Visualization

Instead of a bulky analytics page, users get:

  • one clean graph

  • recognizable icons

  • trend lines that explain spending behavior over time

This supports self-awareness without intimidating users.

7. Key Design Decisions & Rationale

A. Primary CTA: Add Expense (3-second interaction)

Users need this daily. So I:

  • moved it to a central, prominent location(Z pattern)

  • reduced competing elements around it

  • ensured one-handed usability

Why this matters:

Fast actions = more usage = stronger habit formation.

B. Dashboard Cards Based on Human Mental Models

Users understand their money in four simple buckets:

  1. What’s left in the budget

  2. What I’ve spent

  3. What I earned

  4. What I saved

Instead of overwhelming them with numbers, I turned these into:

  • clean, high-contrast cards

  • clear labels

  • single-glance insights

This reduces cognitive load and matches how people actually think.

C. Over-Budget Alerts (Visual Guidance)

Introducing:

  • color-coded warnings

  • bar charts that “fill” as spending increases

  • clear notification when a category exceeds the limit

This shifts the app from passive (“Here’s the data”) to active (“Here’s what you should pay attention to”).

D. 30-Day Trend Visualization

Instead of a bulky analytics page, users get:

  • one clean graph

  • recognizable icons

  • trend lines that explain spending behavior over time

This supports self-awareness without intimidating users.

8. Flow Improvements

Before

App → dashboard overload → find tiny add button → enter details → return to messy home.

After

Open app → big Add Expense → add in 3 seconds → dashboard updates instantly.

Result:

A smoother loop that supports daily habits.

8. Flow Improvements

Before

App → dashboard overload → find tiny add button → enter details → return to messy home.

After

Open app → big Add Expense → add in 3 seconds → dashboard updates instantly.

Result:

A smoother loop that supports daily habits.

8. Flow Improvements

Before

App → dashboard overload → find tiny add button → enter details → return to messy home.

After

Open app → big Add Expense → add in 3 seconds → dashboard updates instantly.

Result:

A smoother loop that supports daily habits.

9. Validation & Expected Impact

Even without live metrics, I defined measurable objectives that align with product goals:

What I’d measure:

  • Time to complete an expense entry

  • Dashboard comprehension (can users interpret it correctly?)

  • Daily active usage

  • 7-day retention

  • Drop-off after first session

Expected Outcomes:

  • 20–30% faster expense logging

  • Higher dashboard clarity (80%+ comprehension)

  • 10–18% increase in habit formation

  • Lower first-week churn

These metrics are realistic and used industry-wide for habit-based apps.

9. Validation & Expected Impact

Even without live metrics, I defined measurable objectives that align with product goals:

What I’d measure:

  • Time to complete an expense entry

  • Dashboard comprehension (can users interpret it correctly?)

  • Daily active usage

  • 7-day retention

  • Drop-off after first session

Expected Outcomes:

  • 20–30% faster expense logging

  • Higher dashboard clarity (80%+ comprehension)

  • 10–18% increase in habit formation

  • Lower first-week churn

These metrics are realistic and used industry-wide for habit-based apps.

9. Validation & Expected Impact

Even without live metrics, I defined measurable objectives that align with product goals:

What I’d measure:

  • Time to complete an expense entry

  • Dashboard comprehension (can users interpret it correctly?)

  • Daily active usage

  • 7-day retention

  • Drop-off after first session

Expected Outcomes:

  • 20–30% faster expense logging

  • Higher dashboard clarity (80%+ comprehension)

  • 10–18% increase in habit formation

  • Lower first-week churn

These metrics are realistic and used industry-wide for habit-based apps.

10. Final Outcome

The final dashboard experience achieves:

  • A calmer interface that supports beginners

  • A clear priority structure that eliminates overwhelm

  • A primary action that forms consistent, daily behavior

  • A visual, human-friendly representation of money

  • A dashboard that teaches users spending awareness without lecturing them

In short:

A money management app that feels like a supportive guide, not a spreadsheet.

10. Final Outcome

The final dashboard experience achieves:

  • A calmer interface that supports beginners

  • A clear priority structure that eliminates overwhelm

  • A primary action that forms consistent, daily behavior

  • A visual, human-friendly representation of money

  • A dashboard that teaches users spending awareness without lecturing them

In short:

A money management app that feels like a supportive guide, not a spreadsheet.

10. Final Outcome

The final dashboard experience achieves:

  • A calmer interface that supports beginners

  • A clear priority structure that eliminates overwhelm

  • A primary action that forms consistent, daily behavior

  • A visual, human-friendly representation of money

  • A dashboard that teaches users spending awareness without lecturing them

In short:

A money management app that feels like a supportive guide, not a spreadsheet.

1.Overview

2.UX Problems

3.Who I designed For

4.Ux Goals

5.Heuristics & Research insights

6.Info-Architect Redsign

7.Key Design Decisions

8.Flow Improvements

9.Validation & Impact

10.Final outcome

1.Overview

2.UX Problems

3.Who I designed For

4.Ux Goals

5.Heuristics & Research insights

6.Info-Architect Redsign

7.Key Design Decisions

8.Flow Improvements

9.Validation & Impact

10.Final outcome

1.Overview

2.UX Problems

3.Who I designed For

4.Ux Goals

5.Heuristics & Research insights

6.Info-Architect Redsign

7.Key Design Decisions

8.Flow Improvements

9.Validation & Impact

10.Final outcome

1.Overview

2.UX Problems

3.Who I designed For

4.Ux Goals

5.Heuristics & Research insights

6.Info-Architect Redsign

7.Key Design Decisions

8.Flow Improvements

9.Validation & Impact

10.Final outcome

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