How We Built the CS Strategy: Research, Personas, Journey Mapping, and Future-State Planning
Step 1: Pain Point Research: Customer Interviews, Surveys, and Data Analysis
We began by mapping the known pain points the client's team had already identified, then tested those assumptions against primary research. Onboarding surveys captured early-journey friction. Customer interviews surfaced the emotional context behind billing and scheduling complaints — why errors felt like broken trust rather than simple mistakes. Digital channel data and call center records identified the highest-frequency friction points by volume. Together these three sources gave us a ranked picture of where customers were most affected and where the organization was losing ground it couldn't easily recover.
Step 2: Customer Persona Development
Using primary interview data alongside secondary research, we segmented the client's customer base by behavior, need, and interaction pattern. Each segment was developed into a distinct persona — not a demographic summary, but a practical tool that captures what that customer type expects, where they typically break down in the experience, and what would turn them from a satisfied customer into an advocate. The client's teams now use these personas to evaluate proposed changes before deployment.
Step 3: Micro-Journey and Current-State Journey Mapping
We built two types of customer journey mapping assets for this engagement:
- Micro-journeys — granular maps of how customers interact with specific channels and touchpoints at individual journey stages, such as scheduling a service appointment or resolving a billing dispute. These surfaced friction at the transaction level.
- A current-state journey map — a full-ecosystem view of the customer experience from initial awareness through contract renewal, showing how the client's omnichannel touchpoints worked (and didn't work) together as a connected experience rather than individual transactions.
The combination revealed systemic gaps that the micro-journeys alone wouldn't have shown — places where individual touchpoints were performing adequately but the handoff between them was creating compounding friction.