Most VoC programs do a great job of identifying where satisfaction dips, where customer effort spikes, and where sentiment shifts. The hard part is deciding which solution will actually contribute to growth. Successful organizations pair their dashboard data with a clear view of what's driving customers toward and away from competitors. VoC data isn’t telling you what a rival offers that you don't, which unmet needs are driving consideration elsewhere, or which improvement would keep a customer from exploring alternatives.
Priorities can’t be determined by VoC data alone
How do you choose and defend which solutions to invest in? You have to be able to look beyond your own customer base, test assumptions against the market, and arrive at a defensible answer before the window closes. Few customer experience teams have a clear path to do that.
Research functions do critical work but operate with limited resources, and the pace of decisionmaking rarely aligns with the pace of traditional research. A new approach is closing those gaps: validating decisions with market evidence, made available whenever experience teams need it. Let's look at what that looks like in practice.
VoC programs plus research drives outcomes
Customer experience programs are designed to report what already happened. They don’t capture how customers weigh experiences against their other options: what would make them switch, what unmet needs they haven't articulated, or what a competitor is doing to earn their consideration. Market research can provide that part of the equation.
Research grounded in market signals reveals the why behind the what and uncovers options that operational data can't show you. When signals and research connect to provide context, the team that identifies the problem can now also validate a proposed solution, getting from “we see the problem” to “we know the right response” in days instead of months.
Research that costs less, runs faster, and sharpens every decision
Most customer experience teams can pinpoint a problem, but then they have to confront their own: wait for time-consuming research, or guess what the solution could be and start spending. The wrong solution could cost the organization unanticipated money, but the research needed to find the right solution costs the organization too much time and could be just as expensive. With the right tools, that research no longer has to be too slow or too expensive. The teams getting this right validate decisions before committing a budget instead of running long research cycles.
Take Navy Federal Credit Union. The team needed to rank member priorities around technology adoption and fintech interest—evidence their existing infrastructure would take some time to deliver. Using Qualtrics® synthetic panels, they got validated direction in hours instead of days, and at 50% lower cost. Beyond significant efficiency gains, the findings also reflected their member base within 5%, so the team walked into the prioritization meeting with evidence instead of estimates.
The bridge between customer experience and research looks different for every problem. Here's how four teams crossed it:
- Before Gabb went to market, the team used customer validation to confirm expectations rather than assume them. The result: 98% faster insights at 50% lower cost.
- Workday took a different angle, running product acceptance testing to understand which actions users actually valued. In three months, they shipped 1.7K product improvements.
- For DISH, the gap was qualitative. Adding video feedback analysis gave every team direct access to customer insights, nearly 99% faster than before.
- Bankwest's challenge was fragmentation. By consolidating customer experience and brand research onto a single platform, they eliminated agency overhead and saw NPS climb 15 points.
Every team chose a different method. Every team walked away with an answer they could defend.
A FAST framework to move from signal to validated action
Here's a playbook you can apply before your next leadership or prioritization meeting to use both feedback and research to advance more experience improvements:
Frame the revenue risk
Move from diagnostic to strategic. Instead of reporting where scores declined, quantify what's at stake: which customer segments are most exposed, what behavioral shifts could affect retention, and how much revenue is at risk.
Ask the competitive question
Shift from evaluating your organization’s experience in isolation to understanding how customers weigh their options across the market. The question isn't whether the experience you’re offering is improving, it's whether it's improving in the areas that shape how customers perceive you.
Surface the defensible answer
Match the methodology to the decision—win/loss analysis, driver analysis, or choice modeling. Some questions need a structured test; others need qualitative depth or quick, directional feedback. The point is to arrive at an answer the organization can act on.
Take decisive action
Bring a recommendation tied to a quantified outcome—revenue protected, retention improved, competitive position strengthened—backed by market evidence. A decision everyone can align behind because the evidence is clear.
The FAST framework turns a prioritization debate into a repeatable, evidence-driven process. The harder part is doing it on the timeline business decisions demand, which is exactly where Qualtrics helps. Synthetic research panels and personas reach targeted segments in minutes. Research Agent turns a business question into a structured test automatically. Video feedback captures what customers experience then summarizes hours of input on the spot with AI assistance. Research capabilities that once required dedicated teams and month-long timelines now live directly inside the customer experience workflow.
What changes when customer experience and research connect
Customer feedback shows you what happened. Market research tells you what to do next. When those two capabilities connect inside a single platform, every decision can be validated. And when those decisions are successful, it builds organizational confidence.
Instead of replacing research teams, expand their reach. When customer experience teams can self-serve market validation for the decisions that need speed—using guided workflows, synthetic audiences, and vetted research frameworks—the research function is freed from manual execution and back in the role it was built for: strategic advisor to the business on where to grow and how to stay ahead.
What's taking shape is better decisions made in an operating rhythm and infrastructure that turns experience programs from reporting functions into growth engines.
