Error Handling
The process of anticipating, detecting, and resolving errors in software or systems to ensure smooth operation. Important for creating reliable and user-friendly software applications.
The process of anticipating, detecting, and resolving errors in software or systems to ensure smooth operation. Important for creating reliable and user-friendly software applications.
Bottom of Funnel (BoFu) refers to the stage in the sales funnel where prospects are close to making a purchase decision. Important for tailoring marketing and sales efforts to convert leads into customers.
A field research method where researchers observe and interview users in their natural environment to understand their tasks and challenges. Crucial for gaining authentic insights into user behavior and needs.
An automated program used by search engines to browse the internet and index web pages, aiding in the retrieval of relevant information during a search query. Crucial for understanding how search engines discover and index web content.
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean. Important for understanding the distribution of data and making predictions about data behavior in digital product design.
The process of designing intuitive navigation systems within a digital product that help users easily understand their current location, navigate to desired destinations, and efficiently complete tasks. Crucial for enhancing user experience, reducing cognitive load, and ensuring users can achieve their goals seamlessly.
A collaborative tool used to visualize what a user thinks, feels, says, and does to better understand their experiences and needs. Essential for gaining deep insights into user behavior and guiding design decisions.
A research approach that starts with observations and develops broader generalizations or theories from them. Useful for discovering patterns and generating new theories from data.
The process of phasing out or retiring a product or feature that is no longer viable or needed. Important for managing the lifecycle of digital products and ensuring resources are allocated to more valuable initiatives.
Voice User Interface (VUI) is a system that allows users to interact with a device or software using voice commands. Essential for creating hands-free, intuitive user experiences.
A type of usability testing conducted at the end of the design process to evaluate the effectiveness and overall user experience. Important for assessing the final design's usability and identifying any remaining issues.
The process of optimizing content and website structure to improve visibility and ranking in voice search results. Important for adapting to the growing use of voice search and ensuring content is accessible to voice queries.
Model-Based Systems Engineering (MBSE) is a methodology that uses visual modeling to support system requirements, design, analysis, and validation activities throughout the development lifecycle. Essential for managing complex systems, improving communication among stakeholders, and enhancing the overall quality and efficiency of systems engineering processes.
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.
Representativeness is a heuristic in decision-making where individuals judge the probability of an event based on how much it resembles a typical case. Crucial for understanding biases in human judgment and improving decision-making processes.
A cognitive bias where the total probability assigned to a set of events is less than the sum of the probabilities assigned to each event individually. Important for understanding how users estimate probabilities and make decisions under uncertainty.
Impact, Confidence, and Ease of implementation (ICE) is a prioritization framework used in product management to evaluate features. Essential for making informed and strategic decisions about feature development and prioritization.
A cognitive bias where the pain of losing is psychologically more powerful than the pleasure of gaining. Important for designing user experiences that account for and mitigate loss aversion.
The interpretation of historical data to identify trends and patterns. Important for understanding past performance and informing future decision-making.
A prioritization framework used to assess and compare the value a feature will deliver to users against the complexity and cost of implementing it. Crucial for making informed decisions about feature prioritization and resource allocation.
A cognitive bias where individuals overlook or underestimate the cost of opportunities they forego when making decisions. Crucial for understanding user decision-making behavior and designing systems that highlight opportunity costs.
Application Programming Interface (API) is a set of tools and protocols that allow different software applications to communicate and interact with each other. Essential for integrating different systems and enabling functionality in digital products.
A structured framework for product design that stands for Comprehend the situation, Identify the customer, Report customer needs, Cut through prioritization, List solutions, Evaluate trade-offs, and Summarize recommendations. Essential for guiding product managers through a comprehensive design process.
The study of how the brain perceives and responds to art and design, exploring the neural basis for aesthetic experiences. Important for understanding the neurological underpinnings of aesthetic preferences and enhancing design impact.
A research method that focuses on collecting and analyzing numerical data to identify patterns, relationships, and trends, often using surveys or experiments. Essential for making data-driven decisions and validating hypotheses with statistical evidence.
The process of making predictions about future trends based on current and historical data. Useful for anticipating user needs and market trends to inform design decisions.
The phenomenon where people continue a failing course of action due to the amount of resources already invested. Important for recognizing and mitigating biased decision-making.
A cognitive bias where people wrongly believe they have direct insight into the origins of their mental states, while treating others' introspections as unreliable. Important for designing experiences that account for discrepancies between user self-perception and actual behavior.
Customer Effort Score (CES) is a metric that measures how much effort customers have to put in to interact with a product or service. Crucial for identifying friction points and improving user experience in digital products.
An analysis that assesses the practicality and potential success of a proposed project or system. Crucial for determining the viability and planning of new initiatives.
A comprehensive analysis of a website to assess its performance in search engine rankings and identify areas for improvement. Essential for diagnosing and enhancing a website's SEO performance.
A heuristic where individuals evenly distribute resources across all options, regardless of their specific needs or potential. Useful for understanding and designing around simplistic decision-making strategies.
The process of creating representations of how users will interact with a system, including the flow of interactions and the overall experience. Crucial for planning and optimizing user interactions and experience.
Search Engine Optimization (SEO) is the process of improving a website's visibility and ranking in organic search engine results. Essential for attracting more traffic and enhancing the online presence of a website.
A technique used to evaluate a product or system by testing it with real users to identify any usability issues and gather qualitative and quantitative data on their interactions. Crucial for identifying and resolving usability issues to improve user satisfaction and performance.
The process of designing, developing, and managing tools and techniques for measuring performance and collecting data. Essential for monitoring and improving system performance and user experience.
The worth of something based on its ability to help achieve a desired end or goal. Useful for understanding and prioritizing design elements that contribute to user goals.
A metaphor for a balanced approach to product development, considering three core aspects: business viability, technical feasibility, and user desirability. Crucial for ensuring comprehensive and balanced product decisions.
The process of applying a consistent style, motif, or brand identity across a piece of work, design, or user experience to create coherence and enhance the overall aesthetic. Essential for ensuring visual consistency, reinforcing brand identity, and providing users with a unified and engaging experience.
The process of combining multiple products or product lines into a single offering to streamline operations and reduce complexity. Useful for optimizing product portfolios and improving operational efficiency.
A cognitive bias where people prefer the option that seems to eliminate risk entirely, even if another option offers a greater overall benefit. Important for understanding decision-making and designing risk communication for users.
Also known as Expert Review, a method where experts assess a product or system against established criteria to identify usability issues and areas for improvement. Essential for leveraging expert insights to enhance product quality and usability.
A role that involves overseeing the development and improvement of technical products, ensuring they meet user needs and business goals. Crucial for bridging the gap between technical teams and business objectives, ensuring successful product development.
A decision-making strategy where individuals allocate resources proportionally to the probability of an outcome occurring, rather than optimizing the most likely outcome. Important for understanding decision-making behaviors and designing systems that guide better resource allocation.
A usability testing method where users interact with a system they believe to be autonomous, but which is actually operated by a human. Essential for testing concepts and interactions before full development.
A cognitive bias where individuals or organizations continue to invest in a failing project or decision due to the amount of resources already committed. Important for designers to recognize and mitigate their own risks of continuing unsuccessful initiatives.
A phenomenon where the success or failure of a design or business outcome is influenced by external factors beyond the control of the decision-makers, akin to serendipity. Important for recognizing and accounting for external influences in performance evaluations to ensure fair assessments and informed decisions.
The use of data, algorithms, and machine learning to recommend actions that can achieve desired outcomes. Essential for optimizing decision-making and implementing effective strategies.
An approach to design where content is prioritized and designed before other elements like layout and visual design. Crucial for ensuring that the design supports and enhances the content.
Portfolio Management is the process of overseeing and coordinating an organization's collection of products to achieve strategic objectives. Crucial for balancing resources, maximizing ROI, and aligning products with business goals.
A moment of significant change in a process or system, where the direction of growth, performance, or trend shifts markedly. Important for recognizing critical transitions in design or business strategies, enabling timely adjustments and informed decision-making.
Data points that represent an individual's, team's, or company's performance in the sales process. Essential for tracking progress, identifying issues, and optimizing sales strategies.
A cognitive bias that occurs when conclusions are drawn from a non-representative sample, focusing only on successful cases and ignoring failures. Crucial for making accurate assessments and designing systems that consider both successes and failures.
Mutually Exclusive, Collectively Exhaustive (MECE) is a problem-solving framework ensuring that categories are mutually exclusive and collectively exhaustive, avoiding overlaps and gaps. Essential for structured thinking and comprehensive analysis in problem-solving.
A behavioral economics model that explains decision-making as a conflict between a present-oriented "doer" and a future-oriented "planner". Useful for understanding user decision-making and designing interventions that balance short-term and long-term goals.
A strategic approach where multiple potential solutions are tested to identify the most promising one. Crucial for innovation and reducing risk in decision-making.
The use of behavioral science insights to inform and guide strategic decision-making in organizations. Crucial for developing strategies that effectively influence behavior and drive business success.
The theory that all behaviors are acquired through conditioning, often used to understand and influence behavior change. Important for designing interventions that promote positive behavior change.
A fictional character created to represent a user type that might use a site, brand, or product in a similar way, guiding design decisions. Essential for user-centered design, ensuring that products meet the needs of target users.
The risk that the product will not be financially or strategically sustainable for the business, potentially leading to a lack of support or profitability. Essential for ensuring that the product aligns with business goals and can be maintained and supported long-term.