Client Overview
A major national insurance provider with an established home, auto, and life product portfolio. The Consumer Insights team used Fuel Cycle to evaluate the viability of a new adjacent product category and equip leadership with the confidence to act on a high-stakes strategic decision.
Business Challenge
Reading Between the Lines of Customer Demand
An insurance provider was exploring the potential launch of a pet insurance offering as an extension of its existing home, auto, and life portfolio. The Innovation team needed to quickly assess whether customer interest represented a viable market opportunity or a high-risk adjacency.
Initial demand signals lacked the clarity required to support a confident strategic recommendation. The team needed to move beyond surface-level validation and understand the drivers behind customer sentiment without introducing delays or fragmented research workflows.
Fuel Cycle Approach
A Three-Phase Research Programme on a Single Platform
The Consumer Insights team used Fuel Cycle as the end-to-end research platform, beginning with a quantitative survey to evaluate interest in the proposed pet insurance offering. While results confirmed demand, responses were sharply polarized — signaling the need for deeper exploration beyond top-line metrics. The absence of a clear middle ground raised questions about whether enthusiasm reflected true product viability or isolated customer bias.
To address this, the team extended the research within Fuel Cycle using the same participant pool. An asynchronous discussion was launched to explore the motivations behind strong advocacy and resistance, allowing the team to directly connect qualitative feedback to prior survey behavior and uncover underlying trust and brand perception issues.
As insights became clearer, the team conducted a follow-up phase of live, text-based qualitative sessions segmented by sentiment. These sessions allowed the team to validate emerging themes in real time, pressure-test assumptions with both advocates and detractors, and explore what conditions would meaningfully shift purchase intent.
Outcomes & Impact
From Ambiguity to Strategic Clarity
Improved Insight Confidence
- Clear differentiation between customers motivated by the convenience of consolidating multiple insurance products under a single provider and those who resisted due to brand credibility and expertise concerns in a specialised category.
- Shift from feature-level feedback to strategic positioning, trust, and category fit considerations.
Stronger Decision Enablement
- Supported a decision to pause a full-scale product launch in favour of a phased validation approach.
- Informed exploration of alternative paths, including partnerships or co-branded offerings.
Operational Efficiency
- Enabled rapid progression from quantitative to qualitative research without re-recruitment or vendor handoffs.
- Reduced research cycle time to approximately 2 weeks by executing all three methodologies within a single platform and participant ecosystem.
Organisational Adoption
- Drove expansion of Fuel Cycle usage into 2 new internal teams following the success of this initiative.
- Established a repeatable model for connected, multi-method research.
Confident Decisions Start With Better Research
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