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Intelligent Decision Tools

A web app that guides users through complex financial planning decisions using an interactive, AI-driven question and answer process.

Role Lead UX/UI Designer
Company Advice Systems
Platform Web Application
Tools Sketch · InVision · Maze
Intelligent Decision Tools

Most people make major financial decisions without any real guidance.

Genuine financial advice is out of reach for most people. A $300/hr advisor appointment is not a realistic option for someone wondering whether to roll over their 401(k) or how to structure a college savings plan. So they either guess, or they go without. Both outcomes cost them.

On the advisor side, the problem was different but just as real. Financial planners were spending hours every week on manual work, chasing clients via email, building reports by hand, managing follow-ups through spreadsheets. Time that should have gone toward advising was going toward administration.

Every existing tool was failing one side of the market or the other.

Competitive analysis of eMoney, MoneyGuide, and TurboTax revealed consistent failures across all of them:

  • Content quality was impossible to gauge. Users had no way to know if the advice was trustworthy
  • Readability was poor across every platform, with dense text and cluttered layouts that assumed financial literacy
  • Coverage was incomplete. None offered truly holistic financial guidance across life stages
  • There was no onboarding. Users were dropped into complex tools with no sense of where to start

Interviews with financial advisors surfaced the manual work problem clearly: reporting, reminders, and client follow-up were consuming the majority of their non-client time.

Advisor user flow

Advisor-side user flow and site map planning

One platform that gives consumers answers and gives advisors their time back.

The opportunity was to solve both problems together. Consumers needed an experience that felt like talking to a knowledgeable friend, not filling out a form. Advisors needed their repetitive work automated so they could focus on what they were actually hired to do.

Designing for two very different mental models in a single product was the core design challenge. The consumer flow needed to feel conversational and progressive. The advisor portal needed to feel like a professional tool, not a consumer app.

A guided Q&A for consumers. An automated command center for advisors.

The consumer experience was designed as an interactive, AI-driven Q&A flow. Questions surface progressively based on the user's situation, so the experience feels tailored rather than generic. A short onboarding walkthrough was added after early testing showed users needed orientation before they could engage confidently, eliminating the "where do I start" drop-off entirely.

The advisor portal gave planners a unified view of their clients, automated report generation, and built-in reminder workflows, cutting the manual administration that was consuming hours of their week.

Whiteboard sketching session

Whiteboard sketches exploring the consumer Q&A flow

Final high-fidelity designs are under NDA and not publicly shareable. Rough wireframes are shown below.
Low-fidelity wireframes

Rough wireframes reviewed with stakeholders and users

Additional screens

The platform shipped, saved advisors hours a week, and directly won new business.

Financial advisors adopted the portal as their primary client management tool. Automated report creation and reminder workflows eliminated the manual overhead that had been consuming their time. The product was used in sales demonstrations and directly contributed to closing new business deals for Advice Systems.

Designing across two distinct user types in a single product taught me how to hold different mental models simultaneously without letting one bleed into the other, and how to run a design sprint cycle with cross-functional teams including subject matter experts, content, and engineering.

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