Meet Martin, Insights Director at a Major Swiss Insurer

Martin's company has no shortage of customer data.

Every quarter, thousands of policyholders fill in NPS surveys. Claim settlements generate open-ended feedback. Advisor calls produce transcripts. Customer service tickets contain some of the most honest language customers ever use about a financial services provider.

None of it was being read systematically.

Martin had a small team, strong analytical instincts, and a growing conviction that somewhere in that unread data was the answer to the question the executive committee kept asking: why are customers leaving — and what would make them stay?

The Challenge

Martin's mandate as Insights Director is to make the voice of the customer central to business decisions — not an annual event, but a continuous input. The gap between ambition and reality was significant.

The data existed. The analysis didn't. Two years of post-claim NPS verbatims, broker satisfaction responses and onboarding feedback sat in spreadsheets and shared drives. There was no systematic way to surface what customers were actually saying, at scale, across languages.

Commissioned studies were too slow and too narrow. When Martin needed to understand trust barriers after a product change, a traditional qual study took eight weeks and answered the specific question — but nothing else. Insight was episodic, not continuous.

Data privacy was non-negotiable. Swiss insurance customers expect their data to stay in Switzerland. Any solution involving US-hosted AI infrastructure was off the table before the conversation started.

The Approach: Voice-of-Customer Intelligence Program

Martin engaged data IQ to build a continuously updated map of what his customers were saying, feeling and needing — drawn from data his company was already collecting but not analysing.

data IQ's senior researchers designed an analysis framework tailored to the insurer's strategic priorities: trust drivers, churn signals, friction in the claims journey, and unmet needs in the advisory relationship. That framework runs quarterly against the incoming stream of NPS verbatims, open-ended survey responses and processed call transcripts.

The entire pipeline operates within a Swiss-compliant AI environment. Consumer data never leaves Swiss infrastructure, and the analysis meets the data governance requirements Martin's legal and compliance teams had set as a baseline condition.

Crucially, nothing about this program requires Martin's team to change what they collect or how they collect it. data IQ works with the data that already exists.

What His Organisation Now Has

Not a quarterly report. A living, continuously updated intelligence layer on the customer.

The synthesis surfaces as an interactive report his team and key stakeholders can query directly: "What are customers saying about claims settlement speed in German-speaking Switzerland vs. French-speaking Switzerland?" "Which service touchpoints generate the most negative language among customers who churned in the last six months?" "How has sentiment around our digital advisor channel shifted since January?"

The answers are grounded in thousands of verbatim quotes — the actual language customers use, structured and validated by a senior data IQ researcher before every quarterly delivery.

Case Study: Understanding Why Customers Were Leaving After the First Renewal

The executive committee had a hypothesis: price was the primary driver of non-renewal. Martin suspected the reality was more complicated.

Before: Testing the hypothesis would have required a commissioned qualitative study — four to six weeks in the field, another two to three weeks of analysis, a one-time report. By the time findings reached the board, decisions had already been made.

After: Martin asked the existing VoC program. Two years of verbatim data from customers who had not renewed were already in the system. Within five days, data IQ's senior researcher returned a structured analysis: price was mentioned, but ranked third. First and second were the perceived difficulty of the claims process and a feeling of invisibility during the year — no contact, no proactive communication.

The finding went to the board within a week. It directly shaped the renewal communications strategy for the following quarter.

The Result

"We went from collecting customer feedback to actually using it. The program answered a question in five days that we would have spent six weeks and a significant budget to commission as a standalone study. And we can keep asking questions — the data doesn't go cold."

Martin's team now surfaces a major insight finding for the executive committee every quarter, drawn from a continuously expanding dataset. The VoC program has become a standing agenda item at senior leadership level — the first time qualitative customer intelligence has had that status in the organisation's history.

Continuous customer intelligence, not an annual snapshot.

data IQ's Voice-of-Customer Intelligence Program transforms the qualitative data your organisation is already collecting — NPS verbatims, open-ended surveys, interview transcripts — into a continuously updated strategic intelligence layer, delivered as a living report your teams can keep interrogating. Built for regulated sectors, built on Swiss infrastructure.

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