Loan Dashboard
Transforming Regulatory Updates into Actionable Borrower Decisions

ROLE
Product Designer
(Own Project)
FOCUS
AI Project
(Personal Project)
OUTCOME
Improved performance
(Prioritized design roadmap created)
Project Overview
Product Type: Web-based EMI Calculator
Primary Users:
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Home loan borrowers
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Car loan seekers
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Personal loan planners
Core Value Proposition:
A lightweight, distraction-free EMI calculator that quickly computes:
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Monthly EMI
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Total Interest Payable
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Amortization Schedule
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Principal vs Interest Graph
The platform focuses on functional accuracy over marketing-driven engagement.
Core Problem
The platform calculates EMI accurately,
but does not guide users toward financial decision-making.
This creates:
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Repetitive manual recalculation
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No structured comparison
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No strategic borrower insights
Problem Framing
While the tool performs EMI calculation effectively, the broader borrower journey reveals gaps.
-
When users visit an EMI calculator, they usually want to:
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Compare loan scenarios
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Understand impact of interest change
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Make repayment decisions
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Reduce total interest burden
But the product currently functions as:
A single-scenario calculator, not a decision-support system.
Problem Prioritizations
Using an Impact vs Effort framework:
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High Impact – Low/Medium Effort (Priority 1)
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Before vs After Comparison Mode
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EMI Difference Highlighting
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Rate Change Simulation Toggle
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High Impact – Higher Effort (Priority 2)
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Save Scenario
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Shareable Result Link
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​Refinance Recommendation Logic
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Medium Impact (Priority 3)
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Visual Graph Enhancement
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Mobile UI refinement
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Key UX Pain Points
04
Key Pain points
Manual Scenario Comparison
Users must:
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Change interest
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Recalculate
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Memorize previous EMI
-
Repeat
There is no “side-by-side comparison.”
This increases cognitive load.
Lack of Contextual Insight
The calculator shows:
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EMI
-
Interest
-
Schedule
But does NOT answer:
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Is this a good rate?
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What if RBI increases rate?
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Should I reduce tenure instead?
There is no decision guidance.
Static Output Presentation
All outputs are linear.
There is no:
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Highlight of interest savings
-
Visual delta emphasis
-
Smart recommendation cue
Users see numbers.
They don’t see meaning.
No Borrower Journey Continuity
Once calculation is done:
User leaves.
There is no:
-
Save
-
Download comparison
-
Next step suggestion
This limits engagement.
Research

Market Segmentation Insight
Indian EMI calculators fall into 3 categories:
Lead Aggregators
(BankBazaar, PaisaBazaar)
Goal: Loan acquisition
Strengths:
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Multi-bank comparison
-
SEO dominance
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Aggressive visibility
Weaknesses:
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High cognitive clutter
-
Distracting CTAs
-
Conversion-first UX
They optimize for business, not clarity.
Bank-Owned Tools
(HDFC, SBI, ICICI)
​
Goal: Support existing loan funnel
Strengths:
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Brand trust
-
Simple calculation
Weaknesses:
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Limited flexibility
-
No scenario modeling
-
No comparison logic
Utility-First Tools
(Groww, EMIcalculatoronline)
​
Goal: Pure EMI calculation
Strengths:
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Clean interface
-
Lower friction
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Faster load
Weaknesses:
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Static calculation
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No decision intelligence
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No multi-scenario comparison

UX Execution

Pre Defined Loan Tab
EMI Breakup
Loan Comparision
Multiple Bank View

