We build customer understanding from research and strategy through voice of customer programs and insight activation, grounded in social-science rigor, so customer signals reach the people who can act on it.
Customer understanding is the evidence behind every CX decision: which segments to protect, which touchpoints to fix, and where investment returns most. Voice of customer (VoC) is the discipline that captures what customers say, do, and feel and turns it into that evidence. We design listening programs around those decisions, then measure what they produce.
Most insurance, legal, accounting, and AEC firms already own a feedback platform such as Client Savvy, Qualtrics, or Medallia., or InMoment. The programs around them stall in three predictable places. Feedback arrives and dashboards refresh with no operating decision attached. The headline metric is NPS, with no causal link to retention or revenue. And insight lands in a quarterly deck instead of reaching the account leader who could act on it.
When the CFO asks what the program is worth, the answer is hedged. When customers never hear that their feedback changed anything, response rates and internal credibility erode together. The fix is an operating model built around decisions, with the tool in a supporting role.
Every engagement starts with the business outcomes the program has to support, such as retention, expansion, or reduced defection. Listening posts, survey instruments, metrics, and activation cadences are designed backward from those outcomes, so every piece of customer signal has a named owner and an expected action.
A voice of customer program is the operating system for customer signals. It sets which listening posts exist, which metrics summarize what they hear, who holds the decision rights to act, and how customers learn what changed. Without the last two, a program produces reports and not much else.
The platform is a sensor. It collects signal well and leaves open what to measure, what counts as a finding, and who acts on it. We design the operating model around the tool: listening posts, decision rights, metrics, and the activation cadences that turn signal into decisions.
Start with one question: did the data change a decision your firm made last quarter? Our audit scores programs across five dimensions (outcome anchor, decision production, closed loop, metrics maturity, and governance) with supporting evidence for each, so you leave with a defensible read on what to fix first.
NPS, CSAT, and CES are useful starter metrics, and they rarely carry a causal link to revenue. We build a graduating stack: starter metrics for operational monitoring, advanced measures such as Net Emotional Value and sentiment from open-text analysis, and revenue-linked KPIs such as retention by segment and defection cost avoided for board reporting.
Individual services run four to seven weeks. A program audit takes four to six weeks, and architecture and listening design takes five to seven. Full engagements are phased, with a clear decision point between each phase.
Changes are introduced in sequence and built into existing routines, such as team meetings, performance reviews, and onboarding, to keep disruption low.
A senior sponsor, the CX team lead, and the operators who will act on insight, such as account leaders and service-line leads. Operators surface gaps sponsors miss, so we bring them into the design early.