Automating portfolio management for everyday investors

Designing a suite of tools to monitor markets, identify patterns, optimize asset allocation, and rebalance portfolios in real-time. 

Company

Athena Advisory

Timeline

June-September 2024

Role

Lead and solo designer: UX strategy & roadmapping, IA, interaction design, prototyping, data viz/dashboards

Overview

Athena Advisory builds AI-powered tools that help wealth managers deliver personalized investing experiences at scale.

I led the end-to-end design of our suite of investing tools.

150

K

participants switched to managed plan

150

K

participants switched to managed plan

150

K

participants switched to managed plan

0

%

lift in managed-account adoption

0

%

lift in managed-account adoption

0

%

lift in managed-account adoption

0

M

AUM growth in 3 months

0

M

AUM growth in 3 months

0

M

AUM growth in 3 months

The Problem

Advisory Firms

Couldn’t profitably manage sub-$250K accounts, leaving those outside assets unconverted to managed AUM.

Advisory Firms

Couldn’t profitably manage sub-$250K accounts, leaving those outside assets unconverted to managed AUM.

Advisory Firms

Couldn’t profitably manage sub-$250K accounts, leaving those outside assets unconverted to managed AUM.

Investors

Users couldn’t see their full wealth—retirement stayed in Athena while other accounts lived in scattered brokerages and spreadsheets (multiple logins, no holistic view).

Investors

Users couldn’t see their full wealth—retirement stayed in Athena while other accounts lived in scattered brokerages and spreadsheets (multiple logins, no holistic view).

Investors

Users couldn’t see their full wealth—retirement stayed in Athena while other accounts lived in scattered brokerages and spreadsheets (multiple logins, no holistic view).

The Challenge

For most people, investing isn’t a question of interest—it’s one of access. High costs, jargon-heavy experiences, and human-advisor bottlenecks have kept millions from getting personalized advice. We saw an opportunity to redesign what “financial guidance” could look like for the everyday investor.

I led the end-to-end design of Athena’s investing experience—an AI-assisted platform that brings personalized portfolio insights, real-time recommendations, and actionable next steps to everyday investors. The challenge was balancing trust and automation: creating an experience that felt as credible as a human advisor, but as intuitive as a modern consumer app.



The Solution

Athena’s investing platform was built to make professional-grade financial advice accessible to everyone. It uses AI to translate complex investment data into simple, personalized guidance, helping users understand where they stand, what’s working, and what to improve—all within a compliance-ready, advisor-integrated ecosystem.


The result: users can see where they stand, understand their portfolios, and take the next step toward professional management—all from one interface.

Investors

Repositioned Athena as an AI “autopilot”: users see all accounts, understand gaps, and can switch with proof in-context.

Investors

Repositioned Athena as an AI “autopilot”: users see all accounts, understand gaps, and can switch with proof in-context.

Investors

Repositioned Athena as an AI “autopilot”: users see all accounts, understand gaps, and can switch with proof in-context.

Advisory Firms

Happy to offload routine monitoring/rebalancing to the platform, serving more clients without more headcount.

Advisory Firms

Happy to offload routine monitoring/rebalancing to the platform, serving more clients without more headcount.

Advisory Firms

Happy to offload routine monitoring/rebalancing to the platform, serving more clients without more headcount.

A centralized view

Bye-bye spreadsheets and multiple logins. Our dashboard centralizes scattered investment accounts.

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A centralized view

Bye-bye spreadsheets and multiple logins. Our dashboard centralizes scattered investment accounts.

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Personalized optimization tips

Data-driven, account-specific recommendations that show what to change and the expected impact.

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Personalized optimization tips

Data-driven, account-specific recommendations that show what to change and the expected impact.

One-click move to managed service

Convert recommended optimizations into a managed plan instantly.

Card

One-click move to managed service

Convert recommended optimizations into a managed plan instantly.

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Research & Strategy

After a two-week research sprint, I led a workshop with key internal and customer stakeholders to align on scope and approach. We settled on a two-pronged approach to first surface value, then convert users:

Value

Bring scattered investment data + accounts into one central dashboard

Value

Bring scattered investment data + accounts into one central dashboard

Value

Bring scattered investment data + accounts into one central dashboard

Growth

Run a health check and provide optimization recommendations, then offer a one-click switch to a managed service

Growth

Run a health check and provide optimization recommendations, then offer a one-click switch to a managed service

Growth

Run a health check and provide optimization recommendations, then offer a one-click switch to a managed service

Designing the Dashboard

Each dashboard module was directly designed to answer one of four primary questions.


“Where is my money?” -> Account breakdown

“What should I look at now?” → Top Movers/Top Holdings cards

“How am I doing?” → Performance chart

“What am I invested in?” → Allocation chart

I initially designed a full holdings table, but testing revealed that users found the full table format overwhelming because they only scanned for top performers. To solve for this behavior, I replaced the full table with Insight Cards. These quick, glanceable cards surfaced the performance insights users actually act on, and an option to 'view all' to see the full holdings table.

Designing the Health Check

I initially designed a composite "portfolio score". Testing revealed that the composite score hid nuance because investors think in terms of accounts, like 401(k) vs IRA vs brokerage. Given this, I switched the analysis from portfolio-level to account-level. This better mirrored users' mental model and makes the “why switch to manage” sell more precise per account.

I partnered with backend engineers to identify three health dimensions to monitor: risk, diversification, and fees. After numerous explorations, I finalized a distinct comparison visual for each one.

Finding the Conversion Sweet Spot

Early tests showed three dead ends:

  • Full paywall: gating benefits behind signup introduced too much friction

  • DIY checklist: a lengthy to-do list gave users homework we couldn’t track, so impact went unmeasured

  • Direct upsell: a “trust us” upgrade prompt, with no proof, felt like an empty sales pitch

Our solution: surface personalized optimization tips inline then offer to let Athena handle it for them and switch with a single-click. Evidence first, ask second.

Early research revealed users wouldn’t upgrade without a concrete, personal “why.”

To answer the question, “What do I gain from a managed plan?” I introduced Managed-Account Benefit Cards. Each card quantifies one advantage of our managed service. Instead of using generic numbers, we calibrated the exact value using each user’s data. This made a personalized, data-driven case for switching to a managed account.

Next project

Beam • 2021 • 0->1 Design

Scaling an MVP from 0 -> 500,000 users

As third employee and Founding Designer, I led 0-1 design and defined product vision for our MVP, scale the platform from zero to 500K+ users, and built the company’s first design system, Uplift

Beam • 2021 • 0->1 Design

Scaling an MVP from 0 -> 500,000 users

As third employee and Founding Designer, I led 0-1 design and defined product vision for our MVP, scale the platform from zero to 500K+ users, and built the company’s first design system, Uplift

Beam • 2021 • 0->1 Design

Scaling an MVP from 0 -> 500,000 users

As third employee and Founding Designer, I led 0-1 design and defined product vision for our MVP, scale the platform from zero to 500K+ users, and built the company’s first design system, Uplift

© 2025 Nina Krishnan

© 2025 Nina Krishnan

© 2025 Nina Krishnan