Hypothesis-Led Design
Every questionnaire starts with your decision objective. We map the data outputs needed to each strategic question before writing a single survey item, a discipline central to reliable quantitative research methods.
Quantitative research is only as good as the audience answering the questions. We combine large-scale survey research with AI-validated respondent matching and integrated quality controls, so every insight drawn from the data stands on solid ground, for B2B market research and consumer studies alike.
Most quant research answers the question as written. Our quantitative research services work backwards, starting with the decision your organisation needs to make, then designing the survey, sample, and analysis to produce an answer you can act on.
Every questionnaire starts with your decision objective. We map the data outputs needed to each strategic question before writing a single survey item, a discipline central to reliable quantitative research methods.
Our AI matching engine ensures each respondent genuinely represents the target profile, validating demography, behaviour, and attitude, not just the demographic screener, across every consumer and B2B quantitative research study.
Quality logic is built into the survey itself, with attention checks, consistency traps, and speeder detection operating in real time during fieldwork, a core part of our quantitative data quality control.
From one-off concept tests to always-on tracking studies - we design and execute the quantitative research methods that fit your intelligence objective.
Every questionnaire starts with your decision objective. We map the data outputs needed to each strategic question before writing a single survey item, a discipline central to reliable quantitative research methods.
Our AI matching engine ensures each respondent genuinely represents the target profile, validating demography, behaviour, and attitude, not just the demographic screener, across every consumer and B2B quantitative research study.
Quality logic is built into the survey itself, with attention checks, consistency traps, and speeder detection operating in real time during fieldwork, a core part of our quantitative data quality control.
Self-completion surveys delivered to precisely targeted panel members via web and mobile, scalable from 100 to 100,000+ respondents, with real-time progress monitoring as part of our broader market research surveys capability.
Continuous tracking studies monitoring brand awareness, perception, preference, and NPS. Consistent sampling and methodology maintain true longitudinal comparability wave after wave.
Shared-field omnibus surveys give nationally representative data within 48 hours, ideal for quick hypothesis testing, topline validation, or PR research on a tight timeline.
We treat survey programming as quality architecture, not a technical task. Every survey we program has fraud prevention, quality logic, and response validation built in from the first question.
Embedded attention traps that flag inattentive respondents before they corrupt your data
Cross-question validation that flags contradictory responses in real time
Time-per-question monitoring and response pattern analysis across the full questionnaire
Personalised survey paths that maintain relevance and prevent respondent fatigue, powered by our survey analytics platform
Live dashboard tracking incidence rate, completion time, quality flags, and quota progress
From foundational market sizing to advanced segmentation - quantitative research at Robin & Berry is designed to produce intelligence, not just data.
Define market boundaries, estimate addressable opportunity, and segment consumers by genuine behavioural and attitudinal profiles, supporting quantitative research for niche audiences as much as mass markets.
StrategicTrack awareness, consideration, preference, and loyalty across your brand and competitors. Identify equity drivers and vulnerabilities with precision.
TrackingDeep understanding of how consumers think about, use, and choose products within a category. Foundational intelligence for positioning and communication strategy.
A&U StudiesGabor-Granger, Van Westendorp, and Conjoint-based pricing studies identify optimal price points, backed by advanced analytics for survey data and measured with rigour.
Pricing ResearchEvaluate communication effectiveness before launch and measure real-world impact after. Identify what's working, what isn't, and why.
Comms ResearchTell us what decision you need to power, whether that's how to design quantitative surveys from scratch or extend an existing large scale surveys programme. We'll design the right quantitative research company approach within two hours.