Data Collection
Any technology used to collect data from actual or potential end-users of a product. Data collection techniques can be direct or indirect and can be operated with a group of end-users or a single end-users.
Written by: Prince Pal
Your UI/UX Designer. Consultant. Partner. Over the past 18 years, I designed websites and apps for enterprise-level clients like Stanford-HCI Research, Accenture, Juniper Networks, Gemalto, Virtual Dental Care & much more.
A
- AB Testing
- Above The Fold
- Acceptance Criteria
- Accessibility
- Accordion
- Adaptive Design
- Adobe XD
- Advanced Prototype
- Affinity Diagram / Affinity Map
- Agile Software Development
- Aliasing / Anti-Aliasing
- Alignment
- ALT Text
- Analogous Colors
- Analytics
- Android App
- Angular
- Animation Design
- Anomalous Trichromats
- Anthropometry
- API
- Artificial Intelligence (AI)
- Ascender
- Assistive Technology
- Audit
- Augmented Reality (AR)
- Auto Complete
- Auto Correct
- Avatar
C
- Cache
- Call-To-Action
- Canonic Perspective
- Card Sorting
- Cascading Menus
- Cascading Style Sheets (CSS)
- Case Study
- Causation
- Charts
- Chatbot
- Checkbox
- Chromostereopsis
- Chunking
- Click Dummy
- Click Stream
- Cognitive Biases
- Cognitive Friction
- Cognitive Load
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- Cognitive Walkthrough
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- Color Theory
- Color Wheel
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- Command Line Interface
- Commits
- Competitor Analysis
- Complementary Colors
- Concept Sketch
- Concept Sprint
- Consistency
- Content Design
- Content Management System (CMS)
- Content Strategy
- Context Effect
- Context Sensitive Popup Menu
- Contextual Inquiry
- Contrast
- Conversational Interface
- Conversion Rate
- Cookies
- Corporate Identity
- Correlation
- Counters
- Critique
- CRM (Customer Relationship Management)
- Cross Checking (Cross Validation)
- Customer Experience (CX)
- Customer-Centric
D
- Dark Pattern/Dark UX
- Dashboard
- Data Collection
- Data Science
- Data-Driven Design
- Date/Time Picker
- Decision Matrix
- Demographic
- Descender
- Design Deliverables
- Design Exercise
- Design Facilitation
- Design Patterns
- Design Sprint
- Design System
- Design Thinking
- Design Validation
- Design Verification
- Detailed Design
- Deuteranopia
- Developers
- Dialogue
- Diary Study
- Dichromats
- Direct User Data
- Disabled (Button / Control)
- Django Web Framework
- Docker
- Domain Expertise
- Döner Menu Icon
- Dot Voting
- Dribbble
- Drop-Down List Box
- Dropdown Buttons
- Dropdown/Dropdown Lists
E
- E2E Tests
- Early Adopters
- Early Prototype Testing
- Edge Case
- Efficiency
- Empathy
- Empathy Map
- End User
- Engagement
- Environmental Profile
- Ergonomics
- Error Analysis
- Error Detection
- Error Handling
- Error of Commission / Error of Omission
- Error Rate
- Ethical Design
- Ethnographic Study
- Ethnography
- Executive Champion
- Expectancy Test
- Experience Architecture
- Experience Design
- Explicit Save
- Eye Ball Tracking
I
- Iconography
- Ideation
- Image Map
- Inclusive Design
- Index Page
- Indirect User Data
- Industrial Design
- Infographics
- Information Architecture (IA)
- Informational Components
- Input Control
- Interaction Design (IxD)
- Interaction Designer
- Intuitive Design
- Inverted Pyramid Writing
- Invision Studio
- Ionic
- iOS App
- IP Address
- Irregular Shapes
- Iteration
- Iterative Design
- Iterative Testing
L
- Labels on website
- Landing Page
- Late Adopters
- Law of Common Region
- Law of Prägnanz
- Law of Proximity
- Law of Similarity
- Law of Uniform Connectedness
- Layout Graphic
- Leading
- Lean UX
- Learnability
- Legibility in design
- Likert Scale
- Line-height
- Line Length
- Linux
- Liquid Layout
- List Box
- Live Site Analysis
- Lo-Fi Prototypes
- Load Time
- Loader or Loading Bar
- Localization
- Logo
- Long Tail Keywords
- Look & Feel
- Luminance
P
- Padding
- Page Flow
- Page Types
- Pagination
- Pain-Points
- Pairing Designing
- Paper Prototype
- Paradox of Choice
- Paradox of Specificity
- Parkinson’s Law
- Pattern Recognition
- Peak-End Rule
- Persona
- Phi Phenomenon
- Pixel Density
- Pluralistic Walkthrough
- Practicality Test
- Preference Data
- Presentation Design
- Product Designer
- Product Management
- Product Roadmap
- Production Environment
- Progress Bar
- Progressive Disclosure
- Progressive Web Application (PWA)
- Prototype
- Proximity Principle
- Proxy PO
- Psychodynamics
- Psychographics
- Pull Request
- Python
R
- Radio Button
- Rapid Prototyping
- Rating Scales
- ReactNative
- Readability
- Reading Grade Level (RGL)
- Recall and Recognition
- Remote Usability Test
- Representative Sampling
- Requirements-gathering
- Research and Planning
- Resolution
- Responsive Web Design
- REST API
- Retention
- Retro
- Return On Investment (ROI)
- Reverse Card Sort
- Review
S
- SaaS
- Saccades
- Sans Serif
- Satisficing
- Saturated Color
- Scannability
- Scenario
- Schema (Pl. Schemata)
- Screen Readers
- Scrum Master and Scrum Artifacts
- SDK (Software Development Kit )
- Search Field
- Segments
- SEO
- Serial Position Effect
- Serif
- Service Design
- Sidebar
- Sitemap
- Sketch
- Slack
- Slider
- Small Field Tritanopia
- Software
- Source Code
- Spin Button
- Sprints
- Stakeholder Interviews
- Standards Design
- Statement of Work (SOW)
- Static Layout
- Storyboard
- Styleguide
- Summative Testing
- Survey
- SVG
- Switch or Toggle
- Symphony
U
- UI Design
- UI Element
- UI Kit
- Un-Moderated Usability Testing
- Unique Selling Proposition (USP)
- Unit Testing
- Usability Testing
- Use Case
- User Experience (UX)
- User Flow
- User Groups
- User Interface (UI)
- User Interview
- User Journey Map
- User Onboarding
- User Profile
- User Research
- User Satisfaction
- User Scenario
- User Stories
- User Testing
- User-Centered Design (UCD)
- UX Audit
- UX Documentation
- UX Portfolio
- UX Researcher
- UX Writing
- UX/UI Developer
What is Data Collection?
Overview
Any technology used to collect data from actual or potential end-users of a product. Data collection techniques can be direct or indirect and can be operated with a group of end-users or a single end-users.
Data collection is the process of collecting and measuring information on target variables in an established system, which then enables relevant questions to be answered and results evaluated. Data collection is a research component in all study areas including the physical and social sciences, business, and humanities.
For any data collection, methods may vary by discipline, but the emphasis remains the same on ensuring accurate and honest collection. The goal of all data collection is to obtain quality evidence that allows the analysis to yield concrete and reliable answers to the questions asked. Data collection and verification consists of four phases when it involves carrying out a census and seven phases involving sampling.
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