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UX > Quantitative Research Methods > Flashcards

Quantitative Research Methods Flashcards

1
Q

What is Quantitative Research?

A
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2
Q

Task Completion Rates

A

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

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3
Q

Time on Task

A

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

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4
Q

Error Rate

A

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

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5
Q

Efficiency Metrics

A

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

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6
Q

Closed-Ended Questions

A

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

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7
Q

System Usability Scale (SUS)

A

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

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8
Q

Net Promoter Score (NPS)

A

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

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9
Q

Customer Satisfaction Score (CSAT)

A

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

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10
Q

User Effort Score (UES)

A

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

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11
Q

A/B Testing

A

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.

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12
Q

Click Maps

A

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

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13
Q

Scroll Maps

A

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

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14
Q

Hover Maps

A

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

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15
Q

Web Analytics

A

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

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16
Q

Behavior Flow

A

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

17
Q

Funnels Analysis

A

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

18
Q

Eye-Tracking Studies

A

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

19
Q

Multivariate Testing

A

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

20
Q

Remote Usability Testing

A

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

21
Q

Session Replay Analysis

A

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

22
Q

UX Benchmarking

A

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

23
Q

Competitive Analysis

A

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

24
Q

Statistical Analysis of Open and Closed Sorting

A
  • Measuring agreement among participants on groupings.
  • Using tools like similarity matrices to quantify results.
25
Q

Tree Testing

A

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

26
Q

Quantitative Persona Validation

A

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

27
Q

First Click Testing

A

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

28
Q

Descriptive Statistics

A

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

29
Q

Inferential Statistics

A

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

30
Q

Correlation Analysis

A

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

31
Q

Keystroke Level Modeling (KLM)

A

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

32
Q

ABN Testing

A

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

33
Q

Path Analysis

A

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

34
Q

Task Load Index (NASA-TLX)

A

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

35
Q

Quantitative Feedback from Interviews

A

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

36
Q

Social Media Analytics

A

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

37
Q

Funnel Drop-off Analysis

A

Tracking how many users abandon tasks or journeys at specific stages

UX (22 decks)

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