Quantitative Research
Turning Data into Decisions
At Frequent Research, our quantitative research solutions help businesses measure markets, understand consumer behaviour, validate hypotheses and make confident decisions backed by reliable data. We support the full process, from study design and sampling through data collection, validation, analysis and reporting.
Get a free consultationRequest a Quote Q4 · Rating scaleHow likely are you to recommend the service? 12345 Respondents Data Analysis DecisionEvidence-backed- Question
- Respondent
- Data
- Analysis
- Decision
- 01Usage & Attitude Studies
- 02Brand Tracking
- 03Concept & Product Testing
- 04Pricing & Conjoint Research
- 05B2B Research
- 06B2C Research
- 07Healthcare Research
Measurement You Can Defend
Most research goes wrong before the first question is asked: the objective is vague, the sample is wrong, or the field partner cuts corners. The result is data you cannot defend in a boardroom.
Quantitative research measures: it sizes markets, compares groups, tracks change and tests hypotheses through structured surveys and statistical analysis. It is different from qualitative research, which explores motivations and context in depth.
Where research goes wrong- Unclear objective
- Weak design
- Wrong sample
- Poor-quality responses
- Unreliable conclusions
- Business question
- Research design
- Relevant respondents
- Controlled fieldwork
- Validated data
- Analysis
- Insight
From Sample to Insight
Seven stages, run by one team, so the design you approve is the data you receive.
- 01DefineTurn the business question into research objectives.
- 02DesignPlan the sample, questionnaire and method.
- 03RecruitReach and screen the right respondents.
- 04CollectRun online, telephone or face-to-face fieldwork.
- 05ValidateCheck respondents and responses for quality.
- 06AnalyseTabulate, weight and test the data.
- 07DeliverReport findings around the decision.
Designed Around the Business Question
Stages 01 to 03: study design, questionnaire and sample. Stages 04 to 07 follow below.
01Research objective & study design 02Questionnaire design & programming 03Sampling & respondent recruitment Stage 01Research objective & study design
Every study is designed around the business question it has to answer.
- Research objective definition
- Target audience identification
- Sample design
- Questionnaire structure
- Methodology selection
- Market and geographic planning
Need help framing the question first? See research consultancy and our research design cycle.
Data Collection Methods
Four ways to collect quantitative data. The right one depends on who you need to reach and what you need to measure.
CAWIComputer-Assisted Web InterviewingOnline surveys completed by respondents on desktop or mobile, suited to scale and speed.
Online data collection CATIComputer-Assisted Telephone InterviewingInterviewer-led telephone surveys following a structured on-screen questionnaire.
CATI service CAPIComputer-Assisted Personal InterviewingFace-to-face interviews captured on tablets or mobile devices.
Face-to-face data collection Face-to-FaceFace-to-face surveysIn-person surveys, including paper-based interviewing where digital capture is not practical.
Face-to-face data collection Method selection depends onAudienceResearch objectiveMarketAccessibilityProject requirements| Method | Typical use | Key characteristic |
|---|---|---|
| CAWI | Online quantitative research | Scalable digital surveys |
| CATI | Telephone research | Structured interviewer-led surveys |
| CAPI | Personal interviewing | Digital face-to-face collection |
| Face-to-Face | In-person research | Direct respondent interaction |
Quality-Controlled Quantitative Data
Reliable quantitative research depends on reliable respondents and reliable data. These checks are applied depending on project requirements.
Respondent entry- EligibilityRespondents meet the study criteria
- Duplicate detectionOne person, one response
- Geo / IP validationLocation consistency, where applicable
- Speeding checksImplausibly fast completes flagged
- Straight-liningPatterned grid answers flagged
- Attention checksEngagement confirmed
- Logical consistencyAnswers agree across questions
- Open-end reviewVerbatims checked for quality
- Quota monitoringGroups filled to specification
- Sample reconciliationCompletes matched to sample
- Data cleaningRemovals documented before delivery
Data Processing & Analysis
After fieldwork, responses become a clean, structured dataset ready for statistical analysis.
- Raw responses
- Clean dataset
- Structured tables
- Statistical analysis
- Insights
- Data cleaning
- Coding and classification
- Open-ended coding
- Data tabulation
- Cross-tabulation
- Weighting where required
- Statistical analysis
- Segmentation
- Trend analysis
- Comparative analysis
More on this stage: data processing & analytics.
Stage 07 · DeliveryFrom Numbers to Meaning
The goal is not just a dataset. Outputs are structured around the research question, so stakeholders can see what the numbers mean and what to do next. Reports are shaped with our reporting & insights team.
- Statistical tables
- Executive summaries
- Charts and visualisations
- Key findings
- Consumer or market segments
- Comparative analysis
- Market trends
- Research reports
- Presentation-ready outputs
- Raw and processed datasets
Quantitative Research Services
Three audience families and seven research applications around one core discipline. Select any to see what it covers.
Quantitative research Consumer B2B Healthcare Brand Customer Product Market Employee U&A Concept AudienceConsumer Research
Consumer preferences, behaviours, attitudes, purchase drivers, brand perceptions and customer experiences.
Consumer Research B2B Research Healthcare Research Customer & Brand Research Product Research Market Assessment Employee & Workplace Research Usage & Attitude Studies Concept & Message TestingThe Right Study Format
Format is chosen by research objective, target population, geography and study requirements.
- Online surveys
- Telephone surveys
- Face-to-face surveys
- Multi-country research
- Longitudinal & tracking studies
- Ad hoc research
Tracking & longitudinal research
Repeat waves with a consistent core monitor how awareness, attitudes, behaviours, brand perceptions and market perceptions change over time.
Wave 1 Wave 2 Wave 3 Wave 4 Same core questions, sample specification and quality rules each waveMulti-country research
One framework, coordinated fieldwork and consistent specifications make results comparable across markets.
- 01One research framework
- 02Multiple markets
- 03Coordinated fieldwork
- 04Consistent specifications
- 05Comparable outputs
What We Bring to Quantitative Studies
- 01Global reachDiverse respondent populations across international markets through our panel and recruitment capabilities.
- 02Diverse audiencesB2B, B2C and healthcare: professionals, decision-makers, consumers, patients, caregivers and specialist audiences.
- 03End-to-end executionQuestionnaire development, programming, fieldwork, processing, analysis and reporting.
- 04Quality-focused fieldworkStructured quality checks and respondent validation.
- 05Flexible methodologiesOnline, telephone, face-to-face and other quantitative approaches.
- 06Scalable sample deliveryFocused studies and larger multi-market programmes.
- 07Actionable outputsData structured around the research question and business requirement.
Powered by Our Research Panels
Respondents come from communities we run ourselves.
Turn2OpinionConsumer & Business Research PanelShare your opinion. Shape better products. Get rewarded.View panel MyFrequentRewardsConsumer & Business Research PanelA worldwide survey community with a low reward threshold.View panel MyHealthOpinionsHealthcare Professionals, Patients & Caregivers Research PanelYour experience can improve healthcare for everyone.View panelWhy Clients Choose Frequent Research
- 01 Statistically robust surveysDesigns built for the analysis the decision needs.
- 02 Questionnaire review before fieldworkDrafts checked for clarity, bias, routing and analysis potential.
- 03 Sampling and recruitmentRespondents from our own consumer, business and healthcare panels.
- 04 The full range of studiesUsage and attitude, brand tracking, concept and product testing, pricing and conjoint.
- 05 Data-quality controlsSpeeders, straight-liners and duplicates removed before you see the data.
- 06 Consistent trackersStable sampling and quality rules from wave to wave.
- 07 Processing and analysis in-houseWeighting, tabulation and driver analysis by our own data team.
- 08 A dedicated research teamOne team from questionnaire to report.
The Team Behind Your Project
Researchers, panel managers, programmers, field supervisors and analysts who have run studies across consumer, B2B and healthcare audiences.
- 01Research consultants
- 02Panel & sampling managers
- 03Survey programmers
- 04Field supervisors & moderators
- 05Data processing & analytics specialists
- Questionnaire & study design
- Quota & sampling plans
- CATI, CAPI & online fieldwork
- Qualitative moderation
- Weighting, tabulation & statistics
- Insight storytelling
- Sampledge
- Decipher / Confirmit-style survey platforms
- SPSS & Q
- Python & R
- Power BI
- Dashboards & portals
Industries We Support
AgricultureManufacturingAutomotivePharmaceuticalHealthcareFinancial servicesFood & beverageRetailInformation technologyTelecommunicationsEnergyEducationReal estateGovernmentFashionMass media +42 moreHow a Typical Project Looks
A medical devices brand needed feedback from cardiologists in four countries within three weeks. We confirmed feasibility in 48 hours, ran a mixed online and telephone approach, and delivered cleaned data with country-level tables on time.
See Case Studies- 01Brief
- 02Feasibility
- 03Recruitment
- 04Online + telephone fieldwork
- 05Cleaning
- 06Country-level tables
Quantitative research: frequently asked questions
What is included in your Quantitative Research service?
In shortStatistically robust surveys that measure and size what matters.
A typical engagement covers usage and attitude studies, brand tracking, concept and product testing and pricing and conjoint research. We tailor the scope to your goals after a short discussion.
How long does a quantitative research project take?
In shortMost online studies run in one to three weeks.
Multi-country, B2B or healthcare projects usually take three to six weeks, depending on audience and sample size. We share a clear timeline with your proposal.
How much does quantitative research cost?
In shortPricing depends on scope, volume and timelines.
Share your requirement and we will send a clear quote with feasibility, usually within one working day. There is no charge for the first consultation.
Who will work on my quantitative research project?
Our Market Research team: research consultants, panel & sampling managers, survey programmers and more, led by a single point of contact who stays with you from start to finish.
Do you offer quantitative research for my industry?
In shortYes. We work across agriculture, manufacturing, healthcare & pharma, BFSI, automotive, technology, retail, education, energy and more.
Tell us your sector and we will share relevant experience.
How quickly can you share feasibility and a cost estimate?
In shortFor most online studies we come back within one working day.
Complex B2B or healthcare audiences can take two to three days because we check real availability with panels first.
Can you work as a fieldwork partner for research agencies?
Yes. Many of our projects are white-label fieldwork, sample and data processing for agencies and consultancies.
How do you protect data quality?
In shortWe use identity checks, digital fingerprinting, attention checks, open-end review and manual cleaning.
Bad completes are removed before you see the data.
Which countries can you cover?
In shortWe run research across 55+ markets through our own panels and vetted local partners.
Tell us your markets and we will confirm feasibility.
Still curious? Ask the assistant Talk to a specialist →
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