Designing Stack Wealth: Making Wealth Management Simple and Hum… by Abhinav Designing Stack Wealth: Making Wealth Management Simple and Hum… by Abhinav

Designing Stack Wealth: Making Wealth Management Simple and Hum…

Abhinav

Completed work

Product Designer

UI Designer

UX Designer

Adobe Suite

Figma

Zeplin

FinTech & Payments

Designing Stack Wealth: Making Wealth Management Simple and Human

1. Context & Role

Stack Wealth is an AI-driven wealth management platform built to simplify and streamline the way people manage their finances. It empowers users to make better financial decisions by providing personalized recommendations, clear insights, and a unified view of their entire portfolio.

2. The Problem

The financial services space in India is crowded with apps that focus on transactions and tracking, but very few address holistic financial guidance.

Key problems we identified:

Fragmented experience → investments scattered across apps

Lack of clarity → jargon-heavy interfaces

Absence of trust → black-box AI decisions

No guidance → numbers shown, but no “what next”

3. The Goal

Our vision was to create an AI-first wealth management platform that simplifies investing, personalizes strategies, and empowers individuals to grow their wealth with confidence.

4. Process & Challenges

4a) Research & Insights

We interviewed 50+ users across three segments:

Key insights:

Users wanted clarity over complexity

Needed guidance, not just data

Skeptical about trusting AI with money

4b) Challenges, Solutions & Impact

Challenge 1: Building Trust in AI

Challenge: Users were hesitant to trust AI-led recommendations. The “black box” nature of AI created doubts and reduced confidence.

Get Abhinav Kanukuntla’s stories in your inbox

Join Medium for free to get updates from this writer.

Solution: We implemented explainable AI, which breaks down how each recommendation is generated. Users can see the factors considered — such as risk profile, asset allocation, and market indicators — along with a clear rationale behind the advice. This transparency turned the AI into a partner rather than a mystery engine.

Impact: User trust increased by 70% during testing.

Challenge 2: Overwhelming Jargon

Challenge: Making onboarding more engaging for first-time investors. Heavy use of financial jargon discouraged new users and caused high drop-offs.

Solution: We redesigned onboarding into an interactive, engaging format, replacing jargon with plain-language and real world scenarios.

Challenge 3: Where to Invest? (Core Problem)

General platforms only provide DIY-style recommendations (e.g., “Top 10 funds this week”), which lack personalization. They don’t consider:

A user’s financial goals

Risk appetite

Proper asset allocation across equity, debt, and other instruments

This leaves investors unsure of how to balance risk and returns for their unique situation.

Solution: Holistic Portfolio Creation Considers current holdings, goals, debt, time horizon, and family commitments. Provides a diversified allocation across Equity, Debt, Gold, and other asset classes. Every recommendation comes with reasoning: “We capped equity at 40% due to your home loan and short-term education goal.”