Measure attitudes, behaviour, preference and opportunity at scale.
MIU supports survey-based research from questionnaire and programming through fieldwork, validation, analysis and reporting for one-time studies and repeatable trackers.
Quantitative methods aligned to the business decision.
Usage & attitude
Measure category behaviour, needs, preferences, barriers and customer profiles.
Brand tracking
Track awareness, consideration, image, usage, loyalty and competitive position.
Concept & product testing
Evaluate ideas, propositions, claims, features, pricing and purchase intent.
CX, satisfaction & NPS
Measure experience, loyalty, drivers, gaps and improvement priorities.
Ad testing
Assess recall, comprehension, relevance, persuasion and brand linkage.
Segmentation
Identify distinct groups using needs, attitudes, behaviour or value.
Market sizing
Estimate opportunity, audience profile and demand using agreed assumptions.
Employee & stakeholder
Measure engagement, experience, priorities and organisational feedback.
Consumer and customer evidence at scale.
B2C studies measure households, buyers, users, shoppers or citizens. Sampling focuses on demographic, behavioural, geographic and usage requirements.
Professional and decision-maker evidence.
B2B studies target roles, industries, seniority, company characteristics and decision authority. Feasibility, verification and CPI often differ substantially from general consumer research.
From objective to decision-ready outputs.
Objective
Define the decision, hypotheses and measurement framework.
Sample
Audience, markets, N, quotas, IR and fieldwork method.
Survey
Questionnaire, programming, test links and launch approval.
Data
Collection, monitoring, validation, cleaning and acceptance.
Insight
Analysis, comparison, visualisation, report and recommendations.
See an end-to-end quantitative study in motion.
Follow the path from measurement design to a validated sample and decision-ready comparison.
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Translate the decision into measurable questions
Objectives, hypotheses, constructs and outputs guide the questionnaire and analysis plan.
- Usage and attitude
- Brand, concept and CX measures
- Clear KPI definitions
Design a sample that supports comparison
Audience, markets, quotas, incidence and subgroup needs determine the sample.
- B2B and B2C plans
- Quota and market balance
- Feasibility review
Collect and validate responses at scale
Programming, fieldwork monitoring and quality controls protect the evidence.
- Multi-mode data collection
- Live quota monitoring
- Post-field validation
Compare, explain and recommend
Results are analysed by segment, market or wave and translated into implications.
- Crosstabs and significance
- Charts and dashboards
- Decision-ready report
Tell us the audience, sample, markets and timeline.
MIU will review feasibility, questionnaire status, method, quality tier and reporting requirements.