Turn quantitative research into product decisions you can defend
Transform data into strategic product decisions with our comprehensive quantitative research services.
Chief Product Officers, VPs of Product and Heads of Digital rely on quantitative insights to measure success and inform strategic decisions. Whether you're benchmarking performance or validating new features, AnswerLab provides the data-driven research you need to optimize your product roadmap.
What quantitative research does
Quantitative UX research is the practice of measuring user behavior and attitudes at scale (task success, feature preference, satisfaction, and the trade-offs customers will actually accept) so product decisions rest on statistically significant evidence rather than the loudest opinion in the room.
Qualitative research tells you why. Quantitative research tells you how many, and how much it matters.
Research built for impact from start to finish
We manage your quantitative research from research objectives and questionnaire design to analysis and reporting to get your team the insights you need.
Questionnaire Design & Development
Custom questionnaire based on key business objectives. We map every question to a decision your team has to make, so no item in the instrument is there out of habit.
Sample Management
Expert participant management paired with data integrity through multi-pronged quality checks. For pure quantitative benchmarking we recommend a minimum of 200 participants per segment, and for moderated task-based benchmarks we design for 20 to 40 attempts per task.
Analysis & Reporting
Final data report of findings and comparisons, with significance testing and segment cuts so the differences you act on are real.
Strategic Insights
Strategic insights aligning with key objectives and data findings
Quantitative methods we run
The right method depends on the decision in front of you. These are the ones we use most, and what each one settles:
- Conjoint analysis. Reveals the trade-offs customers will actually make, so feature and pricing decisions reflect real preference rather than stated intent.
- MaxDiff analysis. Ranks a long list of features, benefits or messages by what customers value most, turning a contested backlog into an ordered one.
- UX benchmarking. Measures task success, time on task and satisfaction against your earlier releases and your competitors, so progress is provable.
- Segmentation analysis. Divides users into distinct groups by behavior and preference, so product and marketing target the same people.
- Attitude and usage surveys. Establishes what customers expect, what they do today, and where the gap between the two is costing you.
- Concept and pricing research. Tests demand and price sensitivity before a build is committed.
- Card sorting and tree testing. Evaluates whether people can find what you have built, and how they expect it to be organized.
- Churn and loyalty research. Identifies why customers leave and which behaviors predict who will stay.
Most programs combine two or three of these, and pairing them with qualitative work is what turns a number into a decision. We map methods to each stage of the product lifecycle.
How quantitative research accelerates growth
Prioritize features with data
Get the confidence to prioritize features that will have the biggest impact on product adoption and growth.
Measurement for maximum impact
Track and optimize your product’s performance with insights on user behavior and engagement.
Drive business decisions
Conduct large-scale studies that provide statistically significant data to support business-critical decisions.
The Challenge
More data has not made prioritization easier.
When a roadmap decision carries real cost, leaders start asking harder questions:
- Which features will actually move adoption, and which just feel urgent?
- How large a sample do we need before Finance accepts the answer?
- How does our experience compare to the competitors we lose deals to?
- Are we measuring what predicts retention, or only what is easy to instrument?
Confident prioritization starts with evidence a stakeholder cannot argue with.
Why AnswerLab
AnswerLab helps product and digital leaders move from data to direction. Contact us to explore how our research-powered insights can optimize your product strategy. Our team of 200+ researchers, strategists, and designers has partnered with product and digital leaders for over two decades, and we design quantitative programs to run alongside qualitative work rather than instead of it.
Ready to put real numbers behind your roadmap?
Let's design a study that answers the question your next decision depends on.
Common questions about quantitative research
What is the difference between quantitative and qualitative research?
Quantitative research measures how many and how much: task success rates, feature preference, satisfaction scores across a large sample. Qualitative research explains why those numbers look the way they do. Most product decisions need both, which is why we design studies that pair them.
How many participants does a quantitative study need?
It depends on the decision. For pure quantitative benchmarking we recommend a minimum of 200 participants per segment. For moderated, task-based benchmarking we design for roughly 20 to 40 attempts per task. Smaller samples give direction; larger samples give statistical significance.
Which method should we use to prioritize features?
MaxDiff analysis when you need a long list ranked by what customers value most. Conjoint analysis when the decision involves trade-offs between features, or between features and price. Both produce an ordered backlog rather than a ranked opinion.
Can quantitative research show how we compare to competitors?
Yes. UX benchmarking measures your experience against competitor experiences on the same tasks and the same metrics, either at a single point in time or on an ongoing cadence.
Do you handle participant recruitment?
Yes. We manage sourcing and screening, and run multi-pronged quality checks on the data before analysis begins.