Advisor Match Experience

Thrivent needed a more transparent, personalized way to connect prospective clients with the right financial advisor, replacing a manual, call center driven process. I led discovery, strategy, and ideation for the first two-way Advisor Match system—while coaching a senior designer and partnering closely with research, engineering, and product to balance user, business, and technical needs. Though not launched yet, we hypothesize it will create a more human and trust-building entry point for new clients to connect, in addition to time and money saved on poor matches. It also helped establish the foundation for an AI/ML recommendation engine in flight currently.

Industry

Financial Services

Company

Thrivent Financial

Company

Thrivent Financial

Year

2025

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Main Project Image
Problem

The foundation of quality matching

Sharing your finances with an advisor is vulnerable, and many people meet several advisors before finding the right fit. Advisors face the same issue—often meeting prospects who aren’t aligned in financial requirements, timing, readiness, or values. To foster stronger relationships and save both sides time, we needed a better way to qualify and match prospects earlier in their journey.

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Process

Reducing cognitive load with question categorization

Starting with existing UXR research on what makes a strong prospect–advisor fit, I then collaborated on a survey for advisors and interviewed business partners to uncover patterns and opportunities. Using these insights and competitor research, I categorized questions, mapped the user journey, and worked with product teams to define MVP requirements and a content model for Thrivent’s advisor search ecosystem.

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Solution

Creating the first advisor match experience

Research showed that values were key to a strong advisor–prospect match, so I used those insights and a competitor audit to redesign the quiz into a clearer, easier flow. I grouped questions to reduce cognitive load and mapped key inputs into a content matrix that shaped MVP requirements. We explored two design directions—one streamlined and professional, the other warm and supportive—and ultimately combined the strongest elements into a values-driven, intuitive experience that feels both clear and human.

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Impact

Laying the foundation for better lead qualification

Though not launched yet, reviews with stakeholders showed a lot of excitement. We anticipate this matching experience will drive a noticeable increase in user connection rate, lead quality, and client retention once launched. It did help pave the foundation for an engineering partner to begin experimenting with a conversational AI chatbot for matching as well.

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Reflection

The biggest challenge with this experience was trying to figure out what data we actually have access to from advisors to help power a two-way match from the users front-end input. Thrivent is an old company with processes and systems that are slowly being transformed for a digital space, which made creating an MVP experience challenging.

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