Visualizing Data for wealth managers to help manage their clients

Intuitive interface for effortless financial management for advisors and business managers - to manage 100k clients

Industry

Industry

FinTech B2B

Headquarters

Headquarters

London

Company size

Company size

10-20

Problem

How might we empower wealth managers & financial advisors to make data-driven decisions, optimize their client engagement strategies, and ultimately drive business growth?

My Role

Led the information architecture and data visualization to create a seamless dashboard for Zugo's wealth management clients.

Managed teams - on-shore tech partners and off-shore development team - to ship the product within 5 weeks.

5

Tech Partnerships

Tech Partnerships

7

B2B clients secured

B2B clients secured

84%

Increase in segmentation efficiency

Increase in segmentation efficiency

Smart Tags

Organize clients by adding/removing them from customized tags.

Measurable KPIs

Visual cues to indicate client’s portfolio performance at a glance

Fund Distribution

Measure individual portfolio contributions of each client.

Scenario Planning

Use customized scenario plans to track client’s overall portfolio performance

My Process

My Process

My Process

  1. Information Architecture

Wealth managers use the following key performance indicators to measure portfolio performance

AI-driven insights were leveraged to meticulously map user flows for wealth managers and optimize interactions with data to accomplish core tasks.

This approach was guided by:

  • Hick's Law, minimizing decision fatigue by reducing the number of choices presented at each step,

  • Jakob Nielsen's usability heuristics, ensuring efficient and intuitive task completion.

  1. Data Visualisation Considerations

Line Chart: Effectively shows day-to-day/week-to-week changes in user engagement.

Disadvantage: Overemphasizes individual data points (daily/weekly fluctuations) at the expense of the overall trend.

Area range & Line Chart: Clear view of the overall trend despite daily/weekly variations.

Disadvantage: Requires more cognitive effort to process both the average trend (line) and the range of fluctuation (area).

Bar Intervals Chart: Allows for easy identification of periods with high and low performance.

Disadvantage: Harder to get a strong sense of the overall trend compared to a line or area chart. The focus is on the individual bars, not the continuous flow of growth.

Basic Area Chart: Ensures accurate representation of growth over time.

Advantage: Single color for the area emphasizes the overall trend. Reduces cognitive load (Gestalt Principle of Similarity).

Turning Data into Action

Turning Data into Action

Turning Data into Action

  1. Scenario Planning

The advisor can provide proposals personalized to their client's financial goal, taking into account all assets, liabilities, capital events, pension contributions and any other major life events such as - daughter's wedding, or buying a house with mortgage.

  1. Client Potential Analysis

Wealth managers can quickly identify high-potential clients using interactive charts that show key metrics such as financial standing and engagement history.

  1. Segment clients based on their Assets Under Administrations (AUAs)

Data-driven segmentation for personalized engagement strategies, based on each client's segment and financial profile.