Customers can only describe the symptoms of an experience, not the operational cause. To find the true 'why,' United Rentals combined external customer feedback with the internal voice of frontline employees, who understand the complex systems and logistics happening 'behind the curtain.'
Neither AI nor humans alone can uncover all customer needs. Research shows that while AI finds needs humans miss, it also overlooks things humans catch. The most comprehensive Voice of the Customer (VOC) results come from a hybrid approach that leverages the complementary strengths of both.
Customers describe an idealized version of their world in interviews. To understand their true problems and workflows, you must be physically present. This uncovers the crucial gap between their perception and day-to-day reality.
Consistently high CX scores create a false sense of security, preventing teams from pressure-testing their analytics engine. Lacking variety and new signals, underlying issues can go unnoticed. A sudden score change can be a valuable catalyst for a deeper, more necessary analysis.
A GSB receptionist's casual chats with alumni revealed the program's long-term "fine wine" value—a strategic insight that formal surveys often miss. This shows how empowering frontline employees to listen can uncover profound user truths.
Fractional jet company Airshare realized customer turndowns were caused by complex crew scheduling, not a lack of airplanes. By identifying pilot availability as the true leading indicator of success and solving the root cause, they simultaneously improved customer satisfaction, asset utilization, and profitability.
The only reliable way to understand a customer is to "forward deploy"—work alongside them in their actual environment. This direct experience of their job closes the context gap that interviews can't bridge, revealing unspoken needs and frustrations.
When gathering direct customer feedback, it's easy to over-anchor on a single negative comment. Founders must implement a disciplined process to collect all feedback and analyze it for recurring themes. This prevents making reactive changes based on one-off opinions versus addressing true patterns.
When 5-star surveys contradicted high product return rates, Microsoft created a prioritization framework. They use an AI model to surface high-quality feedback that is also critically linked to a core business KPI, such as 'cart completion', ensuring that they solve problems with real business impact.
Don't view customer escalations as a nuisance; they are a valuable gift. Each one provides a critical opportunity to find and fix not just a specific bug, but the underlying process failure that allowed it to happen. Leaders should actively encourage customers to escalate issues directly to them.
When AI can directly analyze unstructured feedback and operational data to infer customer sentiment and identify drivers of dissatisfaction, the need to explicitly ask customers through surveys diminishes. The focus can shift from merely measuring metrics like NPS to directly fixing the underlying problems the AI identifies.