Skip to content

Get Fast, Quantitative Insights with Userlytics

One of the simplest ways to gather measurable and actionable UX insights from your study participants is via the Userlytics Quant capability, which includes surveys, Card Sorts, Tree Tests, Time on Task, Success/Fail, and other related metrics. In situations where statistical validity is required but screen/audio/face recording is not, you can quickly receive hundreds of Quant results from our proprietary panel of over 2 million participants.

Explore Platform
Explore International Panel
Home » Userlytics | User Testing Tool for Usability and UX Research » About: Platform Capabilities » Features: Quantitative

What kinds of insights can the Userlytics Quant platform provide?

Card Sorts and Tree Tests

When done via a quantitative large sample set approach, Card Sorts and Tree Tests can deliver statistically valid insights for Information Architecture optimization.

System Usability Scale, Single Ease Question and Net Promoter Score

Pre-designed and templated questions with automatic metrics calculations that can then be compared against industry standards for optimizing user experience.

Time on Task and Success/Failure Analysis

These activities allow for easy and rapid benchmarking and can help you locate outliers for further in-depth analysis.

Surveys

A tried and true research method used for collecting data from a group of respondents to gain insights on broad topics of interest, including personal facts, attitudes, past behaviors, and opinions.

How to Create a Quant Study

When should I use Userlytics’ Quant capabilities over other forms of UX testing?

You should use the Userlytics Quant capability when you require statistical validation (as opposed to “exploratory insights”), and/or when you require a large sample size.

When should I use Userlytics’ Quant capabilities over other forms of UX testing? Quant User Testing

What are some benefits of leveraging Userlytics’ Quant capabilities?

A group of people. A panel of participants

Hundreds of respondents from the Userlytics proprietary panel for statistical validity.

a piggy bank with coins on the side

Less expensive than Qualitative UX research.

a Red clock with a person touching the clock hands, showing that the results are quick

Quicker results turnaround.

Methodologies
How much does it cost to use the Userlytics Quant capability? Quant User Testing

How much does it cost to use the Userlytics Quant capability?

With our most popular pricing plan, the Enterprise plan, prices start at $12 per respondent session, but volume discounts are available. If you opt for our Custom plan, prices start at $15 per respondent session, but volume discounts are also available.

Pricing

FAQs

FAQ: Quantitative User Testing

Quantitative user testing is a research method focused on gathering numerical data about users' interactions with a product or service. It involves measurable metrics such as task success rates, time on task, or survey responses to assess user experience. This data helps in identifying patterns, making informed design decisions, and validating changes with statistical significance.
Quantitative user testing involves collecting numerical data from a large sample of users, aiming for statistical validity. Methods include surveys, card sorting, and tree testing. In contrast, qualitative user testing focuses on in-depth feedback from smaller groups, using methods like usability testing with video recordings and interviews to explore the "why" behind user behavior.
Some common quantitative testing methods include: * Card Sorting and Tree Testing: Helps optimize information architecture by analyzing user grouping of content or navigation. * System Usability Scale (SUS) and Net Promoter Score (NPS): Pre-designed surveys providing industry-standard metrics for usability and user satisfaction. * Time on Task: Measures how long it takes users to complete specific tasks. * Success/Failure Analysis: Tracks task success rates to identify usability bottlenecks.
Quantitative user testing offers several advantages: * Statistical validity: Provides measurable and reliable insights from large sample sizes. * Cost-effective: Typically less expensive than qualitative research due to automated data collection. * Faster results: Turnaround is quicker because data analysis can be automated and responses gathered quickly from large panels.
To gather quantitative insights, you can use a variety of methods like: * Surveys: To collect feedback on user opinions and experiences. * Time on Task and Success/Failure Analysis: To benchmark user performance and identify outliers. * SUS and NPS: To evaluate usability and user satisfaction using standardized metrics.
Usability testing can be both qualitative and quantitative. Qualitative usability testing focuses on observing user behavior and gathering subjective feedback, while quantitative usability testing measures task success, time on task, and other numerical data for statistical analysis.
An example of a quantitative test is a Tree Test, where a large sample of users navigates through a site’s structure to find specific information. The results, such as success rates and time taken, provide data to refine the site’s navigation and improve user experience.
With Userlytics, prices for quantitative user testing start at $12 per session under the Enterprise plan, with volume discounts available. For custom plans, the cost is $15 per session with similar discount options.
Userlytics offers several quantitative methods, including Card Sorts, Tree Testing, Surveys, Time on Task, and Success/Failure Analysis. These methods provide statistically valid insights and allow for large sample sizes.

Let’s work together on your
next UX study

Create positive user experiences and keep customers loyal to your product and brand.

Analytics tells you what,
Userlytics tells you WHY.

Schedule a Free Demo
Get Pricing