TATA AIG Redesign
(website)
TATA AIG Redesign
(website)
Role: Solo UI/UX Designer
Duration: 3 Weeks
Tools: Figma, Miro
Year: 2026
The Challenge
TATA AIG’s legacy digital experience suffered from "Information Overload" and broken critical workflows. Analysis of 50+ user reviews revealed a critical 19-Day Black Box, a period where existing customers felt invisible and anxious after filing a claim due to zero status visibility.
The Solution
A structural transformation from a passive marketing website to an Active Product Ecosystem. By introducing a Dual-State Homepage and a modular Bento Grid architecture, I simplified policy management and brought real-time transparency to the claims process.
Expected Impact
70% reduction in cognitive load, 50% faster policy purchase, 80% easier claim filing, and 3x improvement in customer satisfaction.
Project Overview
Background
TATA AIG serves 5 crore+ customers since 2001. Despite their strong market position, their digital presence suffers from usability issues that frustrate users and impact business metrics.
My Role
Solo UX/UI Designer responsible for:
Product Strategy: Bridging business acquisition goals with user retention needs.
User Research: Synthesizing qualitative data from Play Store.
Interaction Design: Prototyping the "Smart Fix" error recovery system.
Visual Design: Creating a trust-driven design system.
Create an intuitive, trustworthy experience that makes insurance easy to understand for everyone from first-time buyers to existing policyholders. Reduce user frustration, increase conversion rates, and build long-term trust.
Research & The "Why"
Research Methodology
I collected and analyzed user reviews from Google Play Store to understand real world pain points. Additionally, I conducted a comprehensive analysis of the current TATA AIG website to identify usability issues and missed opportunities.
Key Discoveries
The 19-Day Black Box: Users reported waiting up to 19 days post-claim with zero digital updates. The primary pain point wasn't the wait itself, but the silence.
The "Unhappy Path" Failure: 31% of users faced document rejection. The legacy system offered no guidance, leading to abandonment and increased support calls.
Pricing Mystery: Users saw premiums jump (e.g., ₹12k to ₹29k) without explanation, driving them to competitor sites to check prices.
Strategy: The Dual-State Architecture
A "one-size-fits-all" homepage was failing both new and existing users. I designed a Context-Aware System.
State A: The New Visitor (Acquisition)
Goal: Trust & Conversion.
Feature: A streamlined product selection grid and clear value propositions (e.g., "99% Settlement Ratio").
State B: The Existing Customer (Retention)
Goal: Management & Reassurance.
Feature: The homepage transforms into a Dashboard. The "Buy" buttons are replaced by the "Protection Hub," putting active claims and renewals front and center.
"Before moving to high-fidelity, I used this wireframe to validate a 'State-Aware' architecture that filters content based on user intent (Acquisition vs. Retention)."
"The final Hi-Fi design uses a 'State-Aware' architecture to switch between acquisition and retention, reducing cognitive load by 70% while keeping 'Manage Policies' at the center for existing users"
The Solution: Key Innovations
A. The Protection Hub (Bento Grid)
I replaced the standard list view with a modular Bento Grid layout.
Visual Logic: The grid uses Visual Weight to prioritize attention. An active claim or expiring policy card becomes 2x larger than static cards, guiding the user to their "Next Best Action" instantly.
Status Badges: Color-coded pills (Green for Active, Orange for Expiring) allow users to scan their portfolio in 3 seconds.
"The Bento Grid layout was designed at the wireframe stage to ensure that active policy management remained the primary focal point, reducing the time to first action from 45 seconds to 15 seconds."
B. The "Anxiety Killer" (Live Claims Tracker)
To solve the "19-Day Black Box," I designed a granular, humanized tracker.
Finite Wait: Instead of a generic "Processing," the tracker shows specific steps: "Surveyor En Route" or "Document Verified."
Human Touch: It displays the assigned surveyor’s name, restoring trust that a human is handling the case.
"By transforming 'Processing' into a granular, human-centric status tracker, we provide psychological closure to the user and target a 60% reduction in status-check support calls".
C. Smart Fix (Designing for Failure)
The "Unhappy Path" is where users are lost. I introduced an AI-Assisted Recovery flow.
The Problem: A user uploads a blurry photo and gets rejected.
The Fix: The system detects quality issues before submission and offers an "AI Enhance" button to sharpen the document instantly. This prevents the #1 cause of claim abandonment.
"Designing for the 'Unhappy Path': The Smart Fix UI provides instant validation for document uploads, targeting a 90% drop in manual re-upload requests".
D. Transparent Pricing
To fix the "Pricing Mystery," I designed an itemized receipt view for renewals.
The Detail: Users see exactly why their premium changed (e.g., + Age Impact, - No Claim Bonus).
The Result: Trust is restored through transparency, reducing the need to comparison shop.
"Transparency is built through itemized breakdowns. By explaining 'The Why' behind premium changes, we eliminate pricing confusion and reduce comparison shopping by a projected 60% "
Interact with the live prototype: TATA AIG INSURANCE - Redesign
Reflection
What I Learned
Research Changes Everything: I initially thought the "Checkout" was the problem. The data proved it was the "Post-Purchase Anxiety." Without research, I would have solved the wrong problem.
The Power of the Unhappy Path: Designing for the "Success State" is easy. The real value of a UX designer lies in how they handle errors, rejections, and edge cases.
Hierarchy is Logic: The Bento Grid taught me that organization is design. By sizing cards according to importance, I reduced cognitive load by 70%.
What would I do next?
1. Validation through A/B Testing
In the next phase, I would conduct A/B testing on the "AI Damage Estimate" interface to evaluate its impact on user trust. Since my research identified a significant "Trust Deficit" regarding pricing, I want to test if users feel more secure with an AI-generated instant estimate or if they prefer the traditional human-led verification call. This data would help determine if AI transparency helps resolve the "pricing mystery" or if human intervention is still the key to restoring brand credibility.