Pete Lysak | Kollective | APR 2026
Most customer journey maps are posters. They hang in meeting rooms or live as PDF files that impressed everyone when first presented and have not been opened since. They show stages, touchpoints, emotional highs and lows, sometimes a persona with a stock photo face. Descriptive, rarely actionable, almost never connected to revenue.
This episode describes an approach that changes that. Every touchpoint in the journey is shaped by drivers, forces that pull the customer forward, deepen engagement, and increase spend, and barriers, forces that create friction, erode satisfaction, and drive defection. When you identify, measure, and prioritize these, the journey map turns into a revenue map.
Why barriers matter more than you think
Before getting into methodology, one behavioral reality worth naming. Customers do not evaluate their experience the way a satisfaction survey implies. They do not average across touchpoints and arrive at a rational score, rather they weight negative moments more heavily than positive ones. A single friction point at a critical stage of the journey can undo a sequence of smooth interactions before it.
Thre is a well-evidenced framework bahind that. The service-profit chain, established across decades of research by Heskett, Schlesinger, and their colleagues at Harvard, demonstrates that customer satisfaction, loyalty, and revenue growth are causally linked through the quality of service delivery at specific moments. The research consistently shows that perceived effort and friction at key touchpoints are stronger predictors of defection than overall satisfaction scores. A customer who rates their experience a seven out of ten may still be at risk if the friction they encountered sits at a decision-critical stage of the journey.
The practical implication: not all touchpoints carry equal weight. The ones that shape whether a customer returns, spends more, or recommends you are not necessarily the ones with the lowest satisfaction scores. Finding them requires more than a survey - it requires understanding where in the journey behavior actually changes.
What drivers and barriers actually are
A driver is any element of the experience that measurably increases the probability of a positive outcome: a repeat purchase, higher spend, a recommendation, a lower effort score. Drivers are not the same as satisfiers. A satisfier meets an expectation. A driver exceeds it in a way that changes what the customer does next. The difference is measurable: satisfiers maintain baseline metrics; drivers move them.
A barrier is any element of the experience that measurably increases the probability of a negative outcome: a complaint, a defection, reduced spend, a warning to others. Barriers are not the same as dissatisfiers. A dissatisfier is an annoyance, i.e. a barrier is an obstacle that changes behavior. This difference, again, is measurable.
A concrete example. At a GCC aviation startup where we built the VoC program from scratch, we mapped 14 ttop level ouchpoints across the guest journey from search to post-arrival. They would break down into close to 200 sub-toucpoints. At each touchpoint / sub-touchpoint we measured satisfaction, but we also measured the correlation between touchpoint performance and three outcome metrics: rebooking rate, willingness to recommend, and ancillary revenue per guest.
The results were counterintuitive. The touchpoint with the highest satisfaction score (in-service) had a moderate correlation with rebooking rate. The touchpoint with a middling satisfaction score (the onboarding process) had the strongest. A customer who experienced a smooth, energetic, well-organized onboarding was significantly more likely to return than a guest who experienced excellent in-service after a chaotic start. The friction at the beginning shaped the memory of the whole.
Satisfaction scores tell you how customers feel. Driver and barrier analysis tells you what to do about it. The highest satisfaction touchpoint is not always the highest leverage touchpoint. That gap is where revenue hides.
How to identify and measure drivers and barriers
Four data sources are key, and the combination matters.
1. Quantitative correlation. Take your touchpoint satisfaction data (layer two in the KPI architecture from Episode 2) and correlate each score with your customer outcome metrics (layer one). The touchpoints with the highest statistical correlation to outcomes like repeat purchase, NPS, spend per visit, or churn are where drivers and barriers have the most revenue impact. This is arithmetic, not opinion. Most companies already have this data; they have simply not run the correlation.
2. Behavioral research. Quantitative data tells you which touchpoints matter most. It does not tell you what specifically drives or blocks the customer there. Traditional qualitative interviews capture what customers say about their experience. Behavioral research goes further: it examines what customers do, the choices they make, the moments where they hesitate, abandon, or accelerate through the journey. Open-text feedback analysis, behavioral observation at physical touchpoints, and structured deepr look across the journey reveal patterns that no surveys surface on their own. Frontline staff are a critical source here. They observe customer behavior at close range every day and carry a practical understanding of where the journey actually breaks. In every program we have run, structured conversations with frontline teams have surfaced barriers invisible in the survey data.
3. Operational data. Some drivers and barriers show up in operational metrics without asking anyone. Wait times, error rates, complaint categories, service recovery speed, digital funnel drop-off points, and inventory availability all correspond to specific journey barriers. Matching operational data to touchpoint satisfaction data often establishes causal relationships that survey data alone cannot.
4. Employee experience data. The service-profit chain makes the mechanism explicit: employee satisfaction drives service quality, which drives customer satisfaction, which drives revenue. This means the employee experience at each touchpoint is not background context. It is a causal variable. Cross-referencing your driver and barrier map with employee experience data at the same touchpoints, tenure, training completion, engagement scores, absenteeism, shift patterns, consistently reveals that the journey touchpoints with the most severe customer barriers are the ones where employee experience metrics are weakest. The barrier looks like a process problem. It is a people problem. And the people problem has a cause in how those people are hired, trained, managed, and measured.
From barriers to revenue: the prioritization model
Not all barriers are worth fixing and not all drivers are worth amplifying. The question is which ones move the revenue needle most at a cost that justifies the investment.
The output is a revenue map: a journey visualization where each touchpoint is annotated with its top drivers (protect and amplify), its top barriers (fix in priority order), and the estimated revenue impact of action versus inaction. A journey mapping exercise becomes a business case.
What changes when you do this
At the startup airline, the driver and barrier analysis in year one identified that the single highest-leverage post-COVID intervention was not a marketing investment or a product improvement. It was a change to the check-in process that reduced guest effort at a touchpoint with outsized influence on rebooking. The fix cost almost nothing. The impact on repeat bookings was measurable within one quarter.
At a mature organization, the analysis surfaced a barrier that had been hiding for years: a specific moment in the post-purchase journey where customers who needed to modify their reservation encountered a process so cumbersome that a measurable percentage abandoned it and moved to a competitor for their next engagement. The CX team had never flagged it because the satisfaction score at that touchpoint was adequate. The correlation analysis showed it was the single strongest predictor of defection: adequate satisfaction, high barrier, high revenue exposure. The fact is that no survey would have caught it.
Satisfaction tells you how the customer feels. Drivers and barriers tell you what is making them stay, leave, spend more, or spend less. The distinction is the difference between a VoC program that produces reports and one that produces results.
Pete Lysak is a Consulting Partner at Kollective, where he advises on Voice of Customer programs, customer journey analytics, and EX-CX alignment for airlines, telecoms, retail, hospitality, destination, and service businesses in the GCC, EMEA, and Asia. He has launched two startups (aviation and telco) in Saudi Arabia as a founding team member, led brand and marketing for a major European airline, and held VP/Managing Director roles at McCann across EMEA and Africa. He can be reached at pete@kollective.uk