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E-commerce User Experience and Design Survey

E-commerce & Online Transactions

Tags and Keywords

E-commerce

Survey

Website

Satisfaction

Usability

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E-commerce User Experience and Design Survey Dataset on Opendatabay data marketplace

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Free

About

Survey conducted with users after they interacted with an e-commerce website. The survey assesses user perceptions of web design features, including typography, colour, content quality, interactivity, and navigation. It also measures key user experience metrics such as satisfaction, trust, and loyalty. All responses related to design features and user experience are captured on a 10-point Likert scale.

Columns

  • user_id: A unique identifier for each survey respondent.
  • language: The language of the website used by the respondent (e.g., 'en', 'es').
  • platform: The type of device used to access the website (e.g., 'Mobile', 'Desktop').
  • gender: The gender of the user.
  • age: The age of the user.
  • q1: "It is easy to read the text on this website with the used font type and size."
  • q2: "The font color is appealing on this website."
  • q3: "The text alignment and spacing on this website make the text easy to read."
  • q4: "The color scheme of this website is appealing."
  • q5: "The use of color or graphics enhances navigation."
  • q6: "The information content helps in buying decisions by comparing the information about products or services."
  • q7: "The information content provided by this website meets my needs."
  • q8: "Contents and information support for reading and learning about buying process."
  • q9: "This website provides adequate feedback to assess my progression when I perform a task."
  • q10: "This website offers customization."
  • q11: "This website offers versatility of ordering process."
  • q12: "This website provides content tailored to the individual."
  • q13: "In this website everything is consistent."
  • q14: "Navigation aids serve as a logical road map for buying."
  • q15: "Obviousness of buying button and links in this website."
  • q16: "It is easy to personalize or to narrow buying process."
  • q17: "It is easy to learn to use the website."
  • q18: "This website supports reversibility of action."
  • q19: "Overall I am satisfied with the interface of this website."
  • q20: "My current experience with this website is satisfactory."
  • q21: "Overall. I am satisfied with the amount of time it took to complete the tasks for buying products."
  • q22: "Overall. I am satisfied with accuracy for this website related to the buying process."
  • q23: "I trust the information presented on this website."
  • q24: "This website is credible for me."
  • q25: "I would visit this website again."
  • q26: "I would recommend this website to my friend."

Distribution

The dataset is provided in a single tabular file named survey.csv. It contains 73 records and 31 columns.

Usage

This dataset is ideal for analysing the relationship between specific web design elements and key performance indicators like user satisfaction, trust, and loyalty. It can be used for building predictive models to forecast customer retention or for conducting exploratory data analysis to identify which design features have the most significant impact on the user experience.

Coverage

The data was collected from 73 users interacting with an e-commerce website. The demographic information includes user age (ranging from 19 to 55), gender, and the platform used (primarily Mobile and Desktop). The survey was available in at least two languages, English and Spanish.

License

Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)

Who Can Use It

  • UX/UI Designers and Researchers: To gain data-driven insights into how design choices influence user perception and behaviour.
  • Data Scientists and Analysts: To build models predicting user satisfaction or to identify key drivers of customer loyalty in e-commerce.
  • Product Managers: To inform website development priorities by understanding which features contribute most to trust and a positive user experience.
  • Academic Researchers: To study human-computer interaction, web usability, and consumer behaviour in online environments.

Dataset Name Suggestions

  • E-commerce User Experience and Design Survey
  • Website Design Impact on User Satisfaction and Trust
  • Online Shopper Web Interface Satisfaction Data
  • User Satisfaction Survey for E-commerce Platforms

Attributes

Listing Stats

VIEWS

2

DOWNLOADS

0

LISTED

17/09/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format