Quant Research

Measure what matters at scale

We design and execute quantitative UX research to help product teams make confident, evidence-backed decisions. Our work supports teams across discovery, validation, and measurement — enabling them to understand user behaviour, prioritise experience improvements, and evaluate product impact over time.

We partner with B2B and B2C teams to translate large-scale user data into clear, actionable product and UX direction.

Our Quantitative Research Capabilities

We design and execute a wide range of quantitative studies, including:

Large-scale product and UX surveys across B2B and B2C audiences
Usage & Attitude (U&A) studies to uncover behaviours, needs, and mental models
Experience measurement (CSAT, NPS, UX metrics) to track satisfaction and usability
Feature prioritisation and trade-off studies to support product decision-making
Segmentation and persona validation grounded in real usage patterns
Market and opportunity sizing to inform product strategy and roadmaps
Post-launch evaluation and continuous tracking of product experience over time

Why Quantitative Research?

Quantitative research helps teams move from intuition to impact. It enables you to:

Validate qualitative insights at scale
Measure experience objectively over time
Prioritise what matters most to users
Track the impact of product and design changes
Make confident decisions backed by data, not assumptions

Why it matters

Our approach

When paired with qualitative research, quantitative methods ensure teams understand not just the why, but also the how many, how often, and how much. To support faster, more reliable research, we leverage Micorza — our in-house research platform — to streamline data collection, automate analysis, and surface insights efficiently, so teams move from raw data to decisions without compromising rigour.

To support faster, more reliable quantitative research, we leverage Micorza, our in-house research platform. Micorza helps us streamline data collection, automate analysis, and surface insights efficiently — allowing teams to move from raw data to decisions faster, without compromising rigour.

Visit micorza.com

What We Deliver

Outcomes you can act on

Large-scale product and UX surveys across B2B and B2C audiences
Usage and Attitude studies to uncover behaviours and mental models
Experience measurement: CSAT, NPS, and UX benchmark metrics
Feature prioritisation through conjoint and ranking studies
Statistical analysis and segment comparisons
Clear, actionable reports with confidence levels and recommendations

How We Work

Our process

01
Study Design
We define hypotheses, select the right quantitative methods, and design surveys or instruments that yield valid, reliable data.
02
Sample & Distribution
We determine the required sample size and manage participant distribution — across your existing users or external panels.
03
Data Collection
Surveys and instruments are deployed and monitored to ensure data quality and sufficient response rates.
04
Statistical Analysis
We analyse the data using appropriate statistical methods — identifying patterns, segments, and significance.
05
Insights & Recommendations
Findings are translated into clear product direction, with prioritised recommendations tied to measurable outcomes.