Differentiating Software with Academic Research: The Story Behind FPA PlannerSearch

TL;DR

• Rebuilding a financial-planner directory started as a standard UX project, but turned into a deep dive into academic research on financial psychology.
• Six peer-reviewed studies on trust, motivation, and financial well-being ended up shaping the product in ways that user interviews and prototyping alone wouldn't have.
• Lesson learned: if you're building something that touches how people think, decide, or feel, there's a good chance psychologists and researchers have already studied it.
• Digging into that existing research can turn up frameworks and insights that make a valuable product that is genuinely differentiated.

When we began rebuilding the recently launched FPA PlannerSearch directory, we weren't initially trying to rethink what a financial-planner directory could do. But as we learned more about what clients and financial professionals need to know about one another, the more obvious it became how traditional directories were failing them, and that there was a way to make it better.

Financial planners know that two people can have similar incomes, comparable assets, and the same financial goals, but be in very different states of mind about their finances. One may feel confident and be ready to optimize what they've built. The other may be anxious and uncertain of the next step. Recent events in each person’s life could be extremely different; one may have received an inheritance, the other may be facing a health crisis. 

These types of details create context that every financial planner needs in order to do their job well. In fact, gathering this knowledge is so intrinsic to their work that it is codified in the CFP Board’s (2020) Practice Standards as necessary “Qualitative Information” about factors such as health, family circumstances, values, attitudes, risk tolerance, and priorities in addition to “Quantitative Information” such as income, assets, age,and liabilities.

Despite the acknowledged importance of qualitative information, it is all but ignored by traditional financial-planner directories. These directories typically filter by quantitative information like income, age, and zip code, and present a list of financial planners who all look and feel about the same.

This does a disservice to both the prospective client and the financial professionals. The client struggles to know which of his options to trust and why, while the professional lacks vital information that could inform how they approach the client relationship.

What Financial Planners Needed From PlannerSearch

During our development of PlannerSearch 2.0 we interviewed financial professionals across different specialties, solicited feedback, conducted focus-group exercises, and continued bringing planners back throughout the design process to test prototypes.

Participants told us that their profiles in the old directory didn't give potential clients enough opportunity to understand who they were or how they worked. They also didn’t have any behind-the-scenes metrics to help understand who was searching for them and why.

And we kept hearing variations on another idea: good planners adapt to different clients. But in order to adapt, they need to know where the client is coming from.

So the first fundamental question we faced was: What does a financial planner need to know in order to stand out to the right client?

What Consumers Needed From PlannerSearch

People often seek financial services during a time of stress and/or vulnerability. Even if they are doing well, they are in a position of sharing extremely sensitive information. What they need from a directory is guidance toward someone who can help them—and more importantly—someone they can trust.

Our aim was to create relevant, effective, long-term connections between prospective clients and financial planners. To do that, we needed to answer a second fundamental question: What does a prospective client need to know in order to choose a financial planner that’s right for them?

Answering these questions took us beyond conventional product research and into financial psychology. Our team examined six peer-reviewed studies covering financial wellness, motivation, financial anxiety, client trust, and the psychology of financial planning. This research helped us to understand what might be driving clients to seek financial planning services and what type of mindset they might be in when they do so.

What’s Motivating The Client?

Research into client motivation showed that people aren't equally ready to take action simply because action would improve their financial circumstances. Motivation comes from internal and external factors, with some forms being more reliably long-term than others. In Harnessing Client Motivation: The Power of Autonomy Support, Brendan Pheasant, CFP®, ChFC, and Christina Lynn, Ph.D., CFP®, AFC, CDFA summarize earlier research on motivation this way: “We often think of client motivation as how much someone wants to take action, but research shows that why someone is motivated can be more important than how much they are motivated.”

The authors also explore autonomous motivation (motivation that comes from a person's own values, interests, and goals) and how financial planners can help foster it. They highlight “motivational interviewing…as a way for financial planners to integrate autonomy support into client interactions.”

Both ideas were relevant to PlannerSearch. If why someone is seeking financial advice matters, then understanding some of that motivation before the first conversation gives the planner valuable context. And if planners can better support clients when they understand what matters to them personally, that context can also inform how the planner begins the relationship.

We theorized that if we could incorporate some of those questions into PlannerSearch, it would immediately paint a clearer picture of the prospective client, providing the kind of context that lets a planner tailor their first conversation instead of starting from scratch.

The Importance of Trust and Commitment

Megan McCoy, Ph.D., LMFT, AFC, CFT was an author on three of the six studies we examined. One of her papers, The Science of Building Trust and Commitment in Financial Planning: Using Structural Equation Modeling to Examine Antecedents to Trust and Commitment focused on the impact that client trust has on their commitment to a financial planner. Unsurprisingly, higher trust indicates a higher level of commitment. What is surprising, is she found that “technical skills alone, such as generating high investment returns, may not be sufficient to build client trust and commitment.”

Instead, she found that “clients find it very important that financial planners understand [the client’s] underlying beliefs, attitudes, and values around money.”

Financial life planning can also be called “value-based planning” because the client’s values play such a big role in the decisions they make. When those values are understood by the financial planner, it creates trust, which leads to greater commitment from the client.

Like motivation, early clues about the prospective client’s values could put planners in a much better position to build trust and open up communication.

Identifying Financial Health vs. Financial Well-Being

One study we looked at became particularly influential: Categorizing Financial Wellness into Meaningful Quadrants, by Sonya Lutter, Ph.D., CFP®, LMFT, and Van Dinh, Ph.D.

Lutter and Dinh's work examines an important distinction between someone's objective financial health and their subjective financial well-being. They showed how “people who look financially secure on paper could be struggling to achieve wellness due to their perceptions” and, conversely, that some are overconfident “because of high perceived well-being but low actual financial health.”

Someone can be in a relatively strong financial condition and still feel insecure or dissatisfied, while another person can feel comfortable with their finances despite red flags showing up in the numbers. Lutter and Dinh organized those differences into four quadrants:

• Dangerous—low financial health, low financial well-being
• Overconfident—low financial health, high financial well-being
• Pessimistic—high financial health, low financial well-being
• Content—high financial health, high financial well-being

For our team, this research provided a way of thinking about prospective clients across multiple dimensions, and was influential to our approach of using a questionnaire to identify client mindsets.

Dr. McCoy and Dr. Lutter personally reviewed our approach, and graciously provided us with feedback that helped us refine what would become part of the final solution—The Mindset Matrix.

Turning the Research Into Product Behavior

When prospective clients arrive with different levels of financial well-being, confidence, anxiety, motivation, and readiness, software can collect and synthesize that information to make the search and planner recommendations more relevant.

We developed a 12-question assessment to identify where a prospective client falls along two axes: financial well-being and readiness to engage.

Where they intersect, four mindsets emerge:

• Proactive—financially secure and driven to optimize
• Adaptable—disciplined but struggling with self-confidence
• Passive—relatively comfortable but disengaged
• Frozen—financially overwhelmed and focused on restoring basic order

These mindsets aren't diagnoses or permanent personality categories. They're a way of understanding the context in which someone is approaching financial planning at the moment they reach out.

The client doesn't see a label telling them they're Proactive, Passive, Adaptable, or Frozen. Instead, they see tailored messaging from matched financial planners that applies to the mindset that they’re in.

This messaging is front-loaded when financial planners build their profiles on PlannerSearch. They are given prompts called Mindset Cards that help them consider how they might communicate with people approaching financial planning from each of the four Mindsets.

When the prospective client visits the profile of a financial planner, they will see that custom messaging speaks directly to the mindset they’re in. If what they see resonates with them, they’ll reach out, and information about their mindset, financial readiness, and relevant life-event context will travel with the lead to the financial planner.

This system builds immediate trust within the client (they reached out because they liked the planner’s messaging!) and gives the planner an incredible headstart in understanding each client’s needs and how to best serve them.

What This Means For Product Development

PlannerSearch 2.0 didn't start as an experiment in behavioral science, it started as a directory that needed to work better for the people using it. But once we started asking questions about what clients and planners actually needed from each other, the answers led us somewhere unexpected: into peer-reviewed research on motivation, trust, and financial well-being.

That shift made the product better, and not in a way we could have guessed at through user interviews and prototype testing alone, but in a way that gave us a framework we wouldn't have built otherwise. The Mindset Matrix emerged from work that other people had spent years testing and refining.

Despite software having a rich history of standing on the shoulders of what came before, published research can feel like something that belongs in academia, not in a product roadmap, and gathering it can feel slower than moving straight into design and development. But when a product deals with real human behavior, existing research is often the fastest way to get somewhere genuinely useful, instead of reinventing a wheel that psychologists and researchers have already spent years shaping.

If you're building something that touches how people think, decide, or feel, it's worth asking whether someone has already studied it. The answer is often yes, and the resulting product can be deeply enriched and significantly differentiated by others’ expertise.