Role

UX Designer

Industry

Finance

Advisor Tool: Digital Advise Widget

Simplifying retirement planning: A digital simulator to optimize retirement and asset management for your unique needs.

Navigating retirement complexity: A digital tool designed to simplify decision-making by guiding users through a four-step process: customer understanding, diagnosis, financial plan recommendation, and customization, finishing in a downloadable PDF summary to align resources with goals and mitigate risks. Retirement planning is inherently complex, with competing goals and numerous risks often leaving retirees overwhelmed and unsure where to start. To address this, we developed a structured framework that helps users prioritize their unique needs and allocate financial resources effectively to achieve their goals while managing risks. In this project, I led a multidisciplinary team, conducting user research through interviews, benchmarking, and data analysis. I facilitated usability tests, iterated designs based on user feedback, and organized activities to align user and business needs. This ensured the tool addressed key pain points, enhanced the advisory process, and delivered a seamless, user-centered experience.

Context & Business goal

Context & Business goal

Context & Business goal

Many clients entered the investment journey with limited clarity about their risk tolerance, which often resulted in hesitation and limited confidence when acting independently.


The opportunity was to create a digital experience that could:

  • Help users articulate their risk profile in a meaningful way.

  • Connect that profile to suitable investment funds.

  • Increase confidence at the moment of decision-making, at scale.

PROBLEM FRAMING

The core problem was not โ€œusers canโ€™t answer questions,โ€ but rather:

Users complete profiling tools without fully understanding or trusting what the result means for their financial decisions.

Research & Insights

Research & Insights

Research & Insights

To understand this gap, I combined multiple inputs:

  • Benchmark analysis of existing investor simulators.

  • Persona analysis based on internal customer data.

  • Qualitative interviews with users and stakeholders.


KEY INSIGHTS:
Users were comfortable progressing through the flow, but hesitated when interpreting the outcome.
They wanted reassurance that the recommendation reflected their personal goals and constraints, not just a generic risk score.

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The project was successfully onboarded by 1,000 advisors, achieving an 18.99% conversion rate and increasing voluntary sales by 2% within the first month of production.