Quantitative Research Methods

Question 1

What is Quantitative Research?

Question 2

Task Completion Rates

Answer 2

Usability Testing | Measuring the percentage of users who successfully complete a task.

Question 3

Time on Task

Answer 3

Usability Testing | Tracking how long users take to complete a task

Question 4

Error Rate

Answer 4

Usability Testing | Counting the number of errors made during task completion.

Question 5

Efficiency Metrics

Answer 5

Usability Testing | Combining task success and time data to evaluate usability efficiency.

Question 6

Closed-Ended Questions

Answer 6

Surveys and Questionnaires | Multiple-choice, Likert scales, and rating questions.

Question 7

System Usability Scale (SUS)

Answer 7

Surveys and Questionnaires | A standardized 10-item questionnaire to measure usability

Question 8

Net Promoter Score (NPS)

Answer 8

Surveys and Questionnaires | Measures users’ likelihood of recommending a product or service.

Question 9

Customer Satisfaction Score (CSAT)

Answer 9

Surveys and Questionnaires | Evaluates user satisfaction on specific interactions or the overall experience.

Question 10

User Effort Score (UES)

Answer 10

Surveys and Questionnaires | Assesses the perceived effort to complete a task.

Question 11

A/B Testing

Answer 11

Comparing two versions of a design (e.g., A vs. B) to identify which performs better based on predefined metrics such as click-through rates (CTR), conversion rates, or engagement levels.

Question 12

Click Maps

Answer 12

Heatmaps and Click Tracking | Shows where users click most on a page.

Question 13

Scroll Maps

Answer 13

Heatmaps and Click Tracking | Displays how far users scroll down a page.

Question 14

Hover Maps

Answer 14

Heatmaps and Click Tracking | Tracks mouse movements to infer areas of interest

Question 15

Web Analytics

Answer 15

Tools like Google Analytics or Adobe Analytics to measure:
- Page views
- Bounce rates
- Session duration
- Conversion rates

Question 16

Behavior Flow

Answer 16

Analytics | Analyzing how users navigate through a site or app.

Question 17

Funnels Analysis

Answer 17

Analytics | Understanding drop-off points in a sequence of steps (e.g., checkout process).

Question 18

Eye-Tracking Studies

Answer 18

Measuring where users focus their gaze and for how long, generating heatmaps or gaze plots.
Provides metrics such as:
1. Fixation Duration: How long users focus on specific elements
2. Saccades: Eye movement speed and patterns

Question 19

Multivariate Testing

Answer 19

Testing multiple variables simultaneously to identify the best-performing combination of design elements.

Question 20

Remote Usability Testing

Answer 20

Automated tools (e.g., Maze, UsabilityHub) to collect quantitative data on task success, time on task, and error rates.

Question 21

Session Replay Analysis

Answer 21

Reviewing recorded sessions of user interactions to gather frequency-based quantitative insights like:
- Errors
- Click patterns
- Abandonment rates

Question 22

UX Benchmarking

Answer 22

Benchmarking | Measuring the usability of a product against industry standards or competitors.

Question 23

Competitive Analysis

Answer 23

Benchmarking | Quantitative comparison of key performance metrics across similar products.

Question 24

Statistical Analysis of Open and Closed Sorting

Answer 24

• Measuring agreement among participants on groupings.
• Using tools like similarity matrices to quantify results.

Question 25

Tree Testing

Answer 25

Testing a site’s hierarchical structure (navigation or taxonomy) and analyzing metrics like: - Success rates - Time taken to find information - Incorrect paths taken

Question 26

Quantitative Persona Validation

Answer 26

Using survey data or analytics to validate persona attributes, such as demographics or behavior patterns.

Question 27

First Click Testing

Answer 27

Measuring the success rate of users' first clicks on an interface and its impact on task success.

Question 28

Descriptive Statistics

Answer 28

Statistical Data Analysis | Mean, median, mode, standard deviation.

Question 29

Inferential Statistics

Answer 29

Statistical Data Analysis | Hypothesis testing, regression analysis, confidence intervals

Question 30

Correlation Analysis

Answer 30

Understanding relationships between variables (e.g., time spent vs. satisfaction)

Question 31

Keystroke Level Modeling (KLM)

Answer 31

Predicting the time it will take users to perform tasks based on interactions like typing and clicking

Question 32

ABN Testing

Answer 32

Expanding A/B testing to include multiple variations (e.g., A/B/C/D) to test different combinations

Question 33

Path Analysis

Answer 33

Tracking and quantifying user flows through a product to uncover common paths and bottlenecks

Question 34

Task Load Index (NASA-TLX)

Answer 34

A quantitative measure of perceived task difficulty using weighted scales across factors like mental demand, physical demand, and performance

Question 35

Quantitative Feedback from Interviews

Answer 35

Collecting structured ratings alongside qualitative data in interviews (e.g., rating satisfaction on a scale of 1-10)

Question 36

Social Media Analytics

Answer 36

Measuring metrics such as: - Engagement rates - Click-through rates - Sentiment analysis (quantified through NLP tools)

Question 37

Funnel Drop-off Analysis

Answer 37

Tracking how many users abandon tasks or journeys at specific stages