Hidden Costs
A dark pattern where additional costs are only revealed at the last step of the checkout process. It's essential to avoid this tactic and promote transparent pricing to build user trust.
A dark pattern where additional costs are only revealed at the last step of the checkout process. It's essential to avoid this tactic and promote transparent pricing to build user trust.
A dark pattern where a product sneaks an additional item into the user's shopping cart, often through a pre-selected checkbox. Designers should avoid this practice and ensure users have full control over their purchases to maintain trust.
A dark pattern where users think they are going to take one action, but a different, undesirable action happens instead. Designers must avoid this deceptive practice and be aware of its impact to ensure transparent user interactions.
A dark pattern where it's easy to get into a situation but hard to get out of it, such as signing up for a service but finding it difficult to cancel. Awareness of this tactic is crucial to design fair user experiences with straightforward entry and exit points.
A dark pattern where users are shown a preview of content that is then gated behind a paywall or sign-up. It's crucial to avoid this misleading practice and be transparent about access requirements.
A dark pattern where options to opt out or cancel services are deliberately hidden or made difficult to find. It's essential to avoid hiding options and provide clear, accessible choices for users to manage their preferences.
A dark pattern where it's easy to subscribe but very difficult to cancel the subscription. Awareness of this tactic is important to provide straightforward and user-friendly subscription management.
A cognitive bias where individuals overestimate how well their thoughts, feelings, and emotions are understood by others. Crucial for designing communication and user interfaces that account for and mitigate this bias.
A dark pattern where the design focuses the user's attention on one thing to distract them from another. Designers should avoid this deceptive tactic and ensure user attention is not unfairly diverted.
A dark pattern where the user interface is manipulated in a way that prioritizes certain actions over others to benefit the company. It's crucial to avoid this tactic and design fair interfaces without manipulating user actions.
A dark pattern where users are unknowingly signed up for a recurring subscription. Awareness of this tactic is important to ensure transparent subscription services and prevent deceptive charges.
A dark pattern where the user is required to do something in order to access certain functionality or information. Designers must avoid compulsory actions and provide optional choices to respect user autonomy.
UI/UX design tactics that intentionally manipulate users into taking actions they might not otherwise take. Important for recognizing and avoiding unethical design practices.
A dark pattern where users are tricked into confirming a subscription through misleading language or design. It's crucial to avoid misleading users and ensure clear communication about subscription terms and conditions.
A dark pattern where the user is tricked into publicly sharing more information about themselves than they intended. Designers must avoid this deceptive practice and ensure clear, consensual data sharing to respect user privacy.
A dark pattern where a process is made more difficult than it needs to be to discourage certain behavior. Recognizing the harm of this practice is important to design straightforward user processes.
A dark pattern where questions are worded in a way that tricks the user into giving an answer they didn't intend. Recognizing the harm of this practice is important to maintain clarity and honesty in user interactions.
A dark pattern where the cancellation process is intentionally complicated to discourage users from canceling. Designers must avoid complicating cancellations and respect user decisions with a straightforward process.
A dark pattern where a free trial ends and the user is automatically charged without warning. Designers should avoid this practice and ensure users are clearly informed about charges to maintain ethical standards.
A dark pattern where options that benefit the service provider are pre-selected for the user. Designers should avoid default selections and ensure users make active choices that are in their best interest.
A dark pattern where advertisements are disguised as other types of content or navigation to trick users into clicking on them. Awareness of this tactic is crucial to maintain transparency and prevent misleading users with disguised content.
A dark pattern where practices are used to make it hard for users to compare prices with other options. It's essential to avoid this tactic and promote fair competition by allowing users to make informed decisions.
A strategic framework that designs user experiences to guide behavior and decisions towards desired outcomes. Crucial for creating effective and ethical influence in digital interfaces.
A dark pattern where users' activities are tracked without their explicit consent or knowledge. Designers must avoid this practice and ensure clear communication about tracking to respect user privacy.
The practice of developing artificial intelligence systems that are fair, transparent, and respect user privacy and rights. Crucial for ensuring that AI technologies are developed responsibly and ethically.
A dark pattern where users are pressured to make quick decisions by creating a false sense of urgency. Designers must avoid creating artificial urgency and allow users to make decisions at their own pace.
A cognitive bias where repeated statements are more likely to be perceived as true, regardless of their actual accuracy. Crucial for understanding how repetition influences beliefs and designing communication strategies for users.
A dark pattern where availability is falsely limited to pressure users into making a purchase. Awareness of this deceptive practice is important to provide honest information about product availability.
A dark pattern where the user is guilt-tripped into opting into something by using language designed to shame them if they decline. Designers must avoid this manipulative tactic and respect user decisions without using guilt or shame.
A psychological phenomenon where people follow the actions of others in an attempt to reflect correct behavior for a given situation. Essential for designing interfaces and experiences that leverage social influence to guide user behavior and increase trust and engagement.
A cognitive bias where people's decisions are influenced by how information is presented rather than just the information itself. Crucial for designers to minimize bias in how information is presented to users.
A cognitive bias where people judge harmful actions as worse, or less moral, than equally harmful omissions (inactions). Important for understanding user decision-making and designing systems that mitigate this bias.
The tendency for people to believe that others are telling the truth, leading to a general assumption of honesty in communication. Important for understanding communication dynamics and designing systems that account for this bias.
A phenomenon where users perceive greater value in a service or product if they believe more effort was involved in its creation or delivery. Important for enhancing perceived value and user satisfaction.
Explainable AI (XAI) are AI systems that provide clear and understandable explanations for their decisions and actions. This transparency is crucial for building trust and confidence in AI applications across various domains.
A squeeze page is a type of landing page designed to capture a visitor's email address or other contact information. Highly effective for building an email list by offering a valuable incentive in exchange for the user's details.
A regular meeting in Agile project management where team members discuss progress, plan work, and identify any obstacles, typically held daily. Crucial for maintaining communication, transparency, and accountability within Agile teams.
The degree to which the operations and decisions of an AI system are understandable and explainable to users. Crucial for building trust and ensuring ethical AI use.
Know Your Customer (KYC) is a process used by businesses to verify the identity of their clients and assess potential risks of illegal intentions for the business relationship. Essential for preventing fraud, money laundering, and terrorist financing, particularly in financial services, while also ensuring compliance with regulatory requirements and building trust with customers.
The mistaken belief that a person who has experienced success in a random event has a higher probability of further success in additional attempts. Crucial for understanding and designing around user decision-making biases.
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text. Essential for natural language processing tasks, content generation, and enhancing human-computer interactions across various applications in product design and development.
A dark pattern where the product asks for the user's social media or email credentials and then spams all the user's contacts. Recognizing the harm of this practice is important to protect user trust and avoid spamming their contacts.
Trust, Risk, and Security Management (TRiSM) is a framework for managing the trust, risk, and security of AI systems to ensure they are safe, reliable, and ethical. Essential for ensuring the responsible deployment and management of AI technologies.
A meeting at the end of a sprint where the development team presents their completed work to stakeholders. Crucial for gathering feedback and demonstrating progress.
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks. Valuable for creating interpretable models in digital product design and user behavior analysis.
User consent settings for allowing or denying the storage of cookies on their device. Important for complying with privacy regulations and providing users control over their data.
A cognitive bias where people perceive an outcome as certain while it is actually uncertain, based on how information is presented. Crucial for understanding and mitigating biased user decision-making.
Guidelines and principles designed to ensure that AI systems are developed and used in a manner that is ethical and responsible. Crucial for building trust and ensuring the responsible use of AI technologies.
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments. Crucial for ensuring the reliability, scalability, and performance of AI systems throughout their lifecycle, bridging the gap between model development and operational implementation.
Information Visualization (InfoVis) is the study and practice of visual representations of abstract data to reinforce human cognition. Crucial for transforming complex data into intuitive visual formats, enabling faster insights and better decision-making.
A list of tasks and deliverables that a team commits to completing during a sprint, providing a clear focus and scope for the sprint's duration. Essential for organizing and prioritizing work within an Agile sprint.
An agile framework for managing work with an emphasis on software development, characterized by sprints and iterative progress. Essential for improving productivity and delivering incremental value in development projects.
A clear and concise list of criteria that a product or task must meet to be considered complete, ensuring alignment and understanding within a team. Essential for maintaining quality and consistency in agile project management.
Objectives and Key Results (OKR) is a goal-setting framework for defining and tracking objectives and their outcomes. Essential for aligning organizational goals, improving focus and engagement, and driving measurable results across teams and individuals.
Net Promoter Score (NPS) is a metric used to measure customer loyalty and satisfaction based on their likelihood to recommend a product or service to others. Crucial for gauging overall customer sentiment and predicting business growth through customer advocacy.
Business Process Management Software (BPMS) refers to tools and systems that help organizations design, model, execute, monitor, and optimize their business processes. Essential for improving operational efficiency and ensuring that digital products support effective business processes.