By: Meaghan Willis


Meaghan is a senior qualitative research strategist with nearly 20 years of experience partnering with category leaders and globally recognized brands to shape how insight informs business strategy. She has deep expertise across healthcare, financial services/fintech, CPG/retail, luxury, automotive, and beyond, working with audiences ranging from B2B and HNW to Gen Z and Gen Alpha.

 

I left the Consumer Bankers Association Conference (CBA Live) with a clear view of what’s top of mind for the industry today.

Across sessions, themes like AI, trust, fraud, personalization, and generational change, reflect an industry actively working to evolve to better serve customers, build stronger relationships, and stay relevant in an increasingly complex landscape.

But what stood out most is not unique to the banking industry.

As AI accelerates, digital experiences become more seamless, and customer expectations continue to rise, organizations are being pushed to rethink how they create value, not just through efficiency, but through understanding.

From a qualitative perspective, that’s where things get interesting.

Underlying these themes is a more fundamental challenge: organizations have more data than ever before, but they’re still working to translate it into a deeper understanding of their customers –who they are, what they need, and how they make decisions in the moments that matter – and those moments are becoming more important.

Whether it’s earning trust in the face of rising fraud, supporting customers through financial uncertainty, or building relationships earlier in life, the opportunity is clear: those who truly understand their customers will be best positioned to create lasting relationships and long-term value.

Now, let’s dig deeper into three takeaways that stood out from this conference, how I am interpreting what they mean for the industry and where the real opportunity lies.

 

1. AI Is Redefining The Journey, But Not Replacing The Relationship

AI is no longer a future-state conversation. It’s actively reshaping how customers discover, and interact across industries. What’s less clear is where it actually belongs, and that’s where the real challenge emerges.

The challenge isn’t whether to use AI, but how to use it in a way that aligns with real customer needs, where it simplifies, where it supports and where it risks breaking the experience. This is fundamentally a customer experience question. Where AI shows up in the journey, and how it shows up, has a direct impact on trust, usability, and overall perception of the brand.

Because while AI can optimize for speed and efficiency, it doesn’t resolve the moments that matter most, those shaped by uncertainty, risk, or emotion.

As digital experiences become more standardized, the ability to automate, personalize, and optimize at scale has become table stakes, not differentiation.

So the focus shifts, not to doing more with AI, but to understanding where it doesn’t belong:

Where customers need reassurance instead of automation

Where context matters more than convenience

Where human interaction is not a fallback, but the experience itself.

This is where the idea that AI replaces IQ, but not EQ becomes real and raises an important question: as technology becomes more capable, are we just optimizing journeys, or are we designing for the moments where understanding actually matters?

 

2. Trust Is The Most Important Product, But Still The Least Defined

Trust came up repeatedly throughout the conference, often described as “the most important product in banking”.  At the same time, it remains one of the least clearly defined.

This tension is being amplified by broader shifts across industries. As fraud becomes more sophisticated and more personal, expectations are changing. Customers are no longer looking for institutions to simply enable transactions, they expect protection, guidance, and confidence.

But trust doesn’t operate in isolation.

Every attempt to increase security introduces the risk of friction. Every safeguard has the potential to either reinforce confidence or disrupt the experience.

This is where trust becomes a design challenge. How security shows up in the experience, when, where, and how often, can either build confidence or erode it in real time.

Trust is evolving. Financial lives are no longer individual, they are shared, across families, across generations, across varying levels of independence and control. It’s no longer just about a single relationship between a bank and a customer, it’s about enabling trust across systems of people, where autonomy, visibility, and protection all need to coexist.

Understanding how that plays out in real life – how it feels, where it breaks, what builds confidence – is not something data alone can answer, it requires observing and unpacking real customer experiences in context.

 

3. Banks Are Designing For Segments—But Customers Live In Moments

Personalization is widely seen as a key driver of growth, in banking and beyond.

But there’s a persistent gap between how organizations design experiences and how customers actually live them.

Most strategies are still built around segments. But customers don’t experience their lives that way. They move through moments, shaped by emotion, uncertainty, and context, and it’s in those moments where decisions are made.

These are rarely rational, linear experiences. They are influenced by perception, bias, and emotion, factors often invisible in behavioral data.

The gap between what people are doing and what they believe, feel, or expect is widening and it has real consequences.

Without understanding customers’ lived moments, it’s hard to design experiences that truly meet their needs.

 

Final Thought: The Gap Isn’t Data, It’s Meaning

The biggest takeaway from CBA Live isn’t that banks need more data. They have it. The challenge is making sense of it.

Organizations are investing heavily in new technologies to better understand their customers. But understanding doesn’t come from volume, it comes from context, from knowing not just what customers are doing, but why it matters to them.

That’s where qualitative research becomes essential.

Not as a supplement to data, but as a way to interpret it. To connect behavior to meaning and to bring the customer back into focus, not as a data point, but as a person navigating complex, emotional decisions.

Because whether in banking or beyond, the organizations that win won’t just be the ones that know the most. They’ll be the ones that understand the most.

 

Read more blog posts:

The Case for Expert Respondents in Early-Stage Healthcare Research

More Data, Less Clarity: How Sidelining Qualitative Research Undermines Strategic Decision-Making