We design and analyze research to understand what customers need, how they choose, and how preferences differ across groups. Our work emphasizes surveys, quantitative analysis, and customer segmentation to inform product, pricing, customer experience, and commercial decisions.
We shape each study around the audience you need to understand and the choices the findings should support.
We develop research questions, questionnaires, and sampling approaches that translate business objectives into measurable information.
We support fielding coordination, prepare survey data, and examine response quality and completeness before analysis.
We use weighting, cross-tabulation, and statistical comparisons to examine patterns and differences across customer groups.
We analyze Voice of the Customer, NPS, and win-loss data to understand preferences, purchase considerations, and sources of friction.
We assess product concepts, examine willingness to pay, and compare responses across segments to inform product and pricing choices.
Use survey analysis and segmentation to see how needs, preferences, and buying behavior differ across customer groups, including differences an overall average can obscure.
Examine stated willingness to pay and compare responses across segments to inform pricing choices, with clear limits on what survey findings can predict.
Analyze survey, NPS, and win-loss data to understand purchase considerations and friction, using targeted customer or expert interviews where additional context helps explain the patterns.
Examples of how we design surveys, analyze customer differences, and turn research into practical decisions.
Within a policy advisory firm’s Gates Foundation program, we designed a 70-item national worker survey and led the analysis. Quotas, weighting, quality controls, and statistical segmentation produced seven employer personas for research and strategic planning.
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We analyzed an existing healthcare survey of approximately 7,000 respondents for a top 10 consultancy. Weighted results, consistent denominators, and small-sample checks supported 167 editable charts and clear comparisons across customer groups.
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We combined market and competitor research with a survey of a publisher’s existing customers. Analysis of desired features, adoption interest, and willingness to pay informed product and pricing decisions, while keeping customer interest distinct from wider market demand.
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Connect relevant data, LLM-assisted enrichment, and clear reporting within research and analytics engagements to support business decisions and ongoing performance review.
Evaluate AI initiatives, estimate business outcomes, and understand patterns through statistical modeling, forecasting, segmentation, and impact analysis.
Estimate revenue potential, compare customer groups, and assess upsell and cross-sell opportunities through account-level modeling and customer analysis.
