Patty Soltis
Customer Experience LeaderHow Employee Empathy and Intelligent Search Drive Organizational Value
"Proving ROI is time-consuming and debatable. Inversely, make the cost of inaction visible with the cost of lost customers and missed growth."
In an era dominated by metric-heavy dashboards, organizations are swimming in customer data yet remaining starving for actionable insight. True customer experience (CX) isn’t captured in post-hoc ROI debates; it is lived on the frontlines where customer frustration either turns into long-term loyalty or silent churn.
This article breaks down why traditional customer metrics fall short in a digital, high-scale environment. Alongside technical perspectives from SearchUnify, the following conversation explores how unifying fragmented interaction signals, empowering frontline agents with real-time AI context, and blending human judgment with cognitive search can bridge the gap between employee empathy and concrete business value.
Q & A
You spent decades in luxury retail where customer experience directly impacted revenue. How has that perspective shaped the way you approach CX in a digital, high-scale environment like Upwork?
The more we understood the customer, the more we could drive loyalty, directly impacting revenue and lifetime value.
Experience drives business outcomes. Using CX as a growth function means connecting customer signals directly to retention, revenue, and product decisions, and ensuring those insights influence what the company does next.
At Upwork, the difference is scale with signals coming from millions of pieces of feedback and interpreting behavior across millions of interactions. That’s where I’ve leaned heavily into using AI to analyze data and surface what matters early and at scale.
The combination of retail instincts and digital scale is powerful. Retail proved that customer experience matters. AI and analytics now allow me to prove it, scale it, and drive action across the business.
SearchUnify Lens:
Patty’s principle highlights that customer understanding is the primary mechanism driving long-term loyalty and corporate revenue. However, digital acceleration introduces an overwhelming influx of fragmented interaction data that obscures critical intent without an intelligent orchestration layer.
SearchUnify helps teams stay close to the customer by turning fragmented signals into clear, actionable insight at scale:
- Turns frontline insight into a unified, actionable view of customer intent by bringing together signals across interactions, feedback, and support channels
- Surfaces hidden friction early by identifying recurring issues and emerging patterns before they escalate into customer churn
- Enables teams to act in the moment while improving the system continuously by equipping frontline agents with real-time context and feeding insights into long-term improvements.
You’ve said you focus more on ‘value’ than traditional ROI. What’s the most effective way you’ve found to demonstrate that value to business stakeholders?
Value is how you get decisions made earlier driving both short and long term results. Proving ROI is time-consuming and debatable.
Connect customer signals directly to business outcomes to demonstrate value. Business leaders care about retention, revenue, cost and risk, making those connections is crucial.
That’s how CX becomes a lever. It shows what matters to the customer highlighting where you’re losing revenue, where friction is driving churn, and where there’s unmet demand to unlock.
Tie this to action expanding beyond insight. Being clear on the issue, impact and opportunity turns value into results. Inversely, make the cost of inaction visible with the cost of lost customers and missed growth. All of this drives prioritization.
SearchUnify Lens:
Proving ROI is often a post-hoc debate; true value lies in making the cost of friction visible before it drives churn. SearchUnify aligns with Patty’s view that CX must highlight where revenue is being lost to unmet demand. SearchUnify Analytics enables value discovery by connecting customer intent directly to business outcomes, building a data-backed case that turns prioritized action into competitive advantage. The AI Escalation Manager makes the cost of inaction concrete, predicting which cases are at risk before they escalate, so teams can act on friction before it becomes churn.
You often connect employee experience directly to customer experience. What are the biggest barriers frontline teams face today, and how can better tools or systems help reduce that friction?
Frontline teams have the most valuable feedback. They interact directly with customers and understand the emotion behind the experience in a way no dashboard can. They hear the opportunities that never show up in dashboards.
The insights from my frontline teams shifted us from reactive to proactive. Yet too often, that input is undervalued or dismissed as complaints rather than recognized as insight.
When frontline teams are included and heard, it drives greater employee engagement and better customer outcomes. Your frontline is crucial to the customer experience. By the time a customer reaches that interaction, they’ve often already experienced significant frustration and friction.
A frontline team member has the ability to turn that experience around and save a customer from churning.
SearchUnify Lens:
The gap Patty highlights is not a lack of data. It is a lack of trust in frontline insight. Frontline teams understand customer frustration better than any dashboard, yet their input is often dismissed instead of operationalized. This creates an empathy-to-action gap where insight exists but rarely translates into change. Closing this gap requires empowering teams in the moment of interaction and learning from those interactions at scale.
Within the agent workspace, intelligent assistance through SearchUnify AI Agent Partner brings together knowledge and real-time context, enabling agents to confidently resolve high-friction situations and turn around customer experiences when it matters most.
Beyond the interaction, insights are captured and transformed into action through a continuous knowledge loop enabled by AI Knowledge Agent. The result is an organization that doesn’t just listen to frontline teams, but acts on their insight to drive better experiences and retention.
When you’re dealing with large volumes of customer feedback, how do you separate meaningful patterns from noise and get to root causes?
At scale, everything looks important and the risk is chasing noise, not missing data. I start by anchoring in business outcomes and focusing on what’s impacting retention, revenue, cost, and risk. That immediately filters out a lot of noise.
From there, I look for patterns across sources. It’s systemic when the same signal shows up in support tickets, reviews, behavior, and sentiment.
AI helps surface those patterns quickly. The real work is connecting those patterns to the experience behind them and to business outcomes. What’s actually happening, where is the friction, why does it exist, and what is the impact on the business?
That’s how to get to the root cause. Move from what customers are saying, to where it’s happening in the journey, to what in the product or process is creating it. Validate it by connecting sentiment to behavior to financial impact.
SearchUnify Lens:
At scale, the risk isn’t missing data, it’s chasing the wrong signals. Identifying root causes requires connecting sentiment across tickets, reviews, and behavior to reveal the systemic truth behind the journey. SearchUnify Cognitive Search surfaces these cross-source patterns simultaneously, reading across support tickets, reviews, and behavioral data to reveal what’s truly systemic rather than incidental. SearchUnify Analytics then validates those patterns against financial impact, connecting sentiment trends directly to retention, revenue, and risk, so teams stop reacting to noise and start addressing the root causes that actually move the business.
For many CX leaders, the challenge isn’t lack of data but access to it. How can organizations make it easier for non-technical teams to explore and act on insights?
It’s about simplification. Non-technical teams should be focused on what matters, not distracted by endless dashboards, data interpretation, or competing signals.
Data has to be clear, defensible, and relevant. AI can accelerate insight, but it produces slop, hallucinations, and mistakes. That’s why human expertise matters. Experts cut through the noise, validate what’s accurate, and focus attention on the signals that actually matter to the business.
They understand the organization itself. The goals, the personalities, the priorities, the barriers, and what leaders are ultimately trying to achieve. They know the right questions to ask, the right signals to look for, and how to communicate insights in a way that drives action.
The goal isn’t just making data accessible. It’s making insight usable, actionable, and aligned to the organization’s north star.
SearchUnify Lens:
Patty’s point is clear: the problem isn’t data access, it’s data trust. AI accelerates insight but without validation it produces noise, and non-technical teams can’t distinguish one from the other.
Cognitive Search surfaces what’s relevant without requiring teams to wade through competing dashboards. Knowbler ensures the knowledge behind those insights is validated and structured, so AI draws from trusted content, not unverified data. SearchUnify MCP connects that verified layer to real-time enterprise data, making insight not just accessible, but defensible enough to act on.
What role does having a single, reliable view of information play in helping leaders make faster and more confident decisions?
There are too many distractions and too much data, which makes decision-making harder, not easier. The ability to cut through the noise and get to what actually matters is critical.
That’s where a single, reliable view of information matters. It creates clarity, consistency, and confidence. Leaders need to know the data is accurate, relevant, and repeatable.
Accuracy matters because decisions are only as good as the information behind them. Speed matters because organizations can’t afford delays while teams debate conflicting data. Reliability and repetition matter because leaders need to trust that the insights hold up over time, not just in a moment.
When leaders have a clear, trusted view of information, they spend less time questioning the data and more time making decisions and driving action.
SearchUnify Lens:
Speed of decision-making is often hindered by teams debating conflicting data rather than acting on it. A single, reliable view of information creates the clarity leaders need to drive action with confidence. SearchUnify delivers this through 200+ Connectors & Integrations that harmonize data across every enterprise system, and Cognitive Search that surfaces unified, context-aware results from every source in one place. SearchUnify Analytics ensures that view stays accurate, relevant, and repeatable, so leaders spend less time questioning the data and more time driving results toward the organization’s North Star.
Looking Ahead: The Convergence of Intent, Empathy, and Intelligence
As organizations march toward more automated futures, the core competitive differentiator will not be who possesses the most data, but who can operationalize it fastest with human empathy. Moving forward, businesses must transition from reactive support models to predictive, insight-driven growth functions.
The future of organizational value belongs to companies that seamlessly merge the speed of AI with the contextual judgment of their frontline teams. By breaking down data silos, eliminating dashboard noise, and trusting frontline insights, leaders can build an enterprise that doesn't just listen to its customers, but understands and acts on their intent in real time.
