Most research teams have a customer feedback strategy.
Far fewer have a stakeholder feedback strategy.
Consumers may be the end users of your products and services, but they rarely operate in isolation. Employers, brokers, partners, distributors, advisors, and resellers often influence decisions just as much as customers themselves.
When insights teams only listen to one side of that equation, they're left with an incomplete picture of why business outcomes happen.
That challenge led Cambia Health Solutions to rethink how it approached research.
Instead of relying solely on consumer feedback, the healthcare organization built dedicated insight communities for both members and business stakeholders, creating a connected ecosystem of feedback that informs decisions across the organization.
The result was faster answers, stronger decision-making, and reduced research costs.
The Problem With Single-Audience Research
Traditional research programs tend to over-index on customer feedback because it's easier to recruit, easier to survey, and often viewed as the primary source of truth.
But in many industries, customers are only one piece of the decision-making puzzle.
In healthcare, employers select benefit plans on behalf of employees while brokers guide purchasing decisions and influence plan selection.
In financial services, advisors shape investment choices.
In retail, suppliers and distributors impact product availability and customer experience.
When research excludes these groups, organizations miss critical context behind customer behavior.
Building a Multi-Audience Insight Ecosystem
Cambia structured its research strategy around three interconnected audiences:
- Members — the consumers using health insurance products and services.
- Employers — business decision-makers selecting benefits for employees while often acting as members themselves.
- Brokers and producers — trusted advisors facilitating plan selection and acting as a critical sales channel.
Recognizing that each audience had different motivations, communication styles, and engagement expectations, Cambia created separate research communities rather than forcing all stakeholders into a single program.
Their consumer community consisted of approximately 3,000 members and generated hundreds of responses each wave.
Their B2B community included approximately 250 employers and more than 400 brokers and producers, with engagement strategies tailored specifically to professional audiences.
The lesson was clear:
Different audiences require different research experiences.
Why Smaller Communities Can Deliver Bigger Insights
One of the most surprising findings from Cambia's program was the value of smaller, highly targeted B2B communities.
While large consumer communities provide statistical confidence and rich segmentation opportunities, smaller business audiences often generate greater value through qualitative feedback.
For employer audiences numbering only a few hundred participants, open-ended comments frequently proved more valuable than percentages and charts.
Instead of asking, "Is this statistically significant?"
The better question became:
"Does this explain the behavior we're seeing?"
For many organizations, qualitative depth becomes more valuable than quantitative scale.
Turning Tracking Studies Into Actionable Intelligence
Before launching their communities, Cambia relied heavily on traditional tracking studies.
Those studies identified what was changing but struggled to explain why.
Their communities became a rapid-response follow-up mechanism.
Whenever an unexpected trend appeared in tracking data, researchers could immediately return to the appropriate audience for context and explanation.
Instead of waiting months for another research cycle, teams could investigate in days.
How Communities Reduced Brand Risk
One of the clearest examples came during a communications initiative around rising healthcare costs.
The communications team wanted to launch bold messaging explaining the drivers behind increasing costs but worried the campaign could create backlash or damage trust.
Using text highlighting activities inside the community, members reviewed multiple versions of the messaging and identified exactly which phrases increased trust and which undermined it.
The result wasn't just better copy.
It was risk mitigation.
The organization avoided launching potentially damaging messaging and gained data-backed confidence in its communication strategy before going public.
Keeping Engagement High Over Time
Long-term engagement doesn't happen by accident.
Cambia credits several operational practices for maintaining strong participation:
- Setting clear expectations during recruitment about survey frequency and time commitments.
- Matching engagement cadence to audience availability.
- Keeping B2B outreach lighter during busy business periods.
- Sharing annual "community impact" summaries showing participants exactly how their feedback influenced decisions.
That final step proved especially powerful.
When participants see the business outcomes they've shaped, they become invested in the program's success.
The Hidden ROI of Insight Communities
The business case for communities extends well beyond faster research.
Organizations also reduce dependence on external panels, decrease agency spending, and avoid repeated recruitment costs.
At the same time, they gain access to verified participants who actually represent their customers and stakeholders rather than anonymous respondents sourced for a single project.
The result is higher-quality insights at a lower long-term cost.
AI Isn't Replacing Researchers, It's Removing Bottlenecks
AI played an important role in Cambia's workflow, but not in the way many organizations expect.
Rather than replacing researchers, AI accelerated tedious manual work.
Researchers used AI to:
- Generate early activity concepts during study design.
- Process and summarize large volumes of open-ended feedback.
- Validate manual coding approaches at scale.
- Reduce analysis bottlenecks that previously slowed delivery timelines.
The expertise still came from researchers.
AI simply helped them move faster.
The Future of Research Is Multi-Audience
Organizations that only listen to customers risk optimizing for symptoms instead of causes.
The companies making better decisions are the ones listening to every audience influencing outcomes across their ecosystem.
Customers.
Partners.
Distributors.
Advisors.
Employers.
Brokers.
Because understanding one perspective is valuable.
Understanding how they all connect is transformative.
Ready to build a complete view of your business?
Learn how insight communities can help you capture feedback from customers and stakeholders alike to make faster, smarter decisions across your organization.
