Last Touch
The final interaction a customer has with a brand before making a purchase. Important for understanding which touchpoints drive conversions.
The final interaction a customer has with a brand before making a purchase. Important for understanding which touchpoints drive conversions.
Not Invented Here (NIH) syndrome refers to the aversion to using or buying products, research, or knowledge developed outside an organization. This mindset can hinder innovation and collaboration.
A series of numbers where each number is the sum of the two preceding ones, creating a pattern found in nature and various fields. Useful for understanding natural growth patterns, efficient estimation techniques, and its relationship to the aesthetically pleasing Golden Ratio.
The process of understanding user behaviors, needs, and motivations through various qualitative and quantitative methods. Essential for designing user-centered products and ensuring they meet actual user needs.
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.
An approach to design that aligns design activities with strategic business goals, ensuring that design contributes to overall organizational success. Essential for integrating design into the strategic planning process and achieving business objectives.
A design philosophy that emphasizes core design principles over rigid adherence to standardized processes. Essential for maintaining creativity and innovation in large-scale, process-driven environments.
Information provided by users about their experience with a product, used to inform improvements and adjustments. Crucial for continuous improvement and user-centered design.
Emotional states where individuals are calm and rational, often contrasted with hot states where emotions run high. Important for understanding decision-making processes and designing experiences that accommodate both states.
A method of testing two identical versions of a webpage or app to ensure the accuracy of the testing tool. Important for validating the effectiveness of A/B testing tools and processes.
A strategy used to determine the proportion of various SMEs needed to support a pipeline of work. Important for optimizing resource allocation, enhancing efficiency, and ensuring teams have the appropriate support based on design demand and complexity.
The percentage of visitors to a website who navigate away from the site after viewing only one page. Important for understanding user engagement and the effectiveness of a website's content and design.
The speed at which leads move through the sales funnel. Crucial for understanding and optimizing the sales process.
Minimum Viable Product (MVP) is a version of a product with just enough features to be usable by early customers who can then provide feedback for future product development. Essential for validating product ideas quickly and cost-effectively, allowing teams to learn about customer needs without fully developing the product.
Build-Measure-Learn (BML) is a feedback loop used in Lean Startup methodology where a product is built, its performance is measured, and learnings are used to make improvements. Essential for iterating quickly and efficiently to create products that better meet user needs and market demands.
The excessive addition of features in a product, often leading to complexity and reduced usability. Crucial for maintaining simplicity and usability in product design.
A short, time-boxed period used in Agile development to research a concept or explore a new technology. Important for reducing uncertainty and risk in development.
Business Intelligence (BI) encompasses technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. Crucial for making data-driven decisions and improving business performance.
Product-Oriented Delivery (POD) is a methodology that focuses on organizing teams around products rather than projects. This approach is essential for enhancing product focus, agility, and cross-functional collaboration.
The process of integrating knowledge into computer systems to solve complex problems, often used in AI development. Important for developing intelligent systems that can perform complex tasks and support decision-making in digital products.
A usability test to see what impression users get within the first 10 seconds of interacting with a product or page. Important for designers to quickly gauge initial user impressions and improve immediate engagement.
An approach to design that explores and creates provocative scenarios of future possibilities to stimulate discussion and critical thinking about the direction of design and society. Important for pushing the boundaries of conventional design thinking and envisioning future implications.
Proof of Concept (PoC) is a demonstration, usually in the form of a prototype or pilot project, to verify that a concept or theory has practical potential. Crucial for validating ideas, demonstrating feasibility, and securing support for further development in product design and innovation processes.
The rate at which employees leave a company and are replaced by new hires, often used as a measure of organizational health and stability. Essential for understanding workforce dynamics and designing strategies to improve employee retention.
Content designed to attract clicks by using sensational or misleading headlines. Important for recognizing and avoiding practices that can harm user trust and content quality.
The percentage of times a keyword appears in a text relative to the total number of words, used to evaluate the relevance and optimization of a webpage for specific search terms. Important for optimizing content for search engines without overstuffing keywords.
A market space that is already crowded with competition, where companies fight for market share, leading to intense rivalry and lower profitability. Important for understanding competitive dynamics and market saturation in strategic planning.
Serviceable Obtainable Market (SOM) is the portion of the Serviceable Addressable Market that a company can realistically capture. Essential for setting achievable sales and market share goals.
The percentage of customers who stop using a product or service during a specific time period. Essential for understanding customer retention and identifying areas for improvement.
A framework for prioritizing product features based on their impact on customer satisfaction, classifying features into categories such as basic, performance, and delight. Crucial for understanding customer needs and prioritizing features that enhance satisfaction.
A cognitive bias where people judge the likelihood of an event based on its relative size rather than absolute probability. Important for understanding user decision-making biases and designing systems that present information accurately.
Zone of Proximal Development (ZPD) is a concept in educational psychology that describes the difference between what a learner can do independently and what they can achieve with guidance and support. Crucial for designing effective educational experiences and scaffolding that promote optimal learning and skill development.
Jobs-To-Be-Done (JTBD) is a framework that focuses on understanding the tasks users are trying to accomplish with a product, emphasizing their goals and motivations over product features. Crucial for designing products that meet real user needs and motivations.
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.
A structured communication technique originally developed as a systematic, interactive forecasting method which relies on a panel of experts. Important for gathering expert opinions and making informed decisions.
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.
An organization that applies behavioral science to policy and practice to improve public services and outcomes. Important for understanding practical applications of behavioral science in policy and public services.
Feature Adoption Rate (FAR) is the percentage of users who adopt a new feature within a specified time period after its release. This metric is important for measuring the success and impact of new product features.
A strategic framework used to analyze the external macro-environmental factors affecting an organization: Political, Economic, Social, Technological, Environmental, and Legal. Essential for strategic planning and understanding market dynamics.
A principle stating that users spend most of their time on other websites and prefer your site to work the same way as all the other sites they already know. Crucial for designing user-friendly and familiar interfaces.
The practice of comparing one's performance, processes, or practices to those of peers or competitors to identify areas for improvement. Important for understanding relative performance and identifying best practices for improvement.
A cognitive bias where people ignore the relevance of sample size in making judgments, often leading to erroneous conclusions. Crucial for designers to account for appropriate sample sizes in research and analysis.
A cognitive bias that causes people to overestimate the likelihood of negative outcomes. Important for understanding user risk perception and designing systems that address irrational pessimism.
Customer Experience Management (CEM) is the process of managing and improving the interactions and experiences customers have with a brand across all touchpoints. This process is essential for building strong customer relationships and enhancing brand loyalty.
A preliminary testing method to check whether the most crucial functions of a software application work, without going into finer details. Important for identifying major issues early in the development process and ensuring the stability of digital products.
A cognitive bias where people ignore general statistical information in favor of specific information. Critical for designers to use general statistical information to improve decision-making accuracy and avoid bias.
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.
A brainstorming technique where participants intentionally suggest bad ideas to spur creative thinking and overcome mental blocks. Important for fostering creativity and out-of-the-box thinking during ideation sessions.
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.
A theory in economics that models how rational individuals make decisions under risk by maximizing the expected utility of their choices. Essential for understanding decision-making under risk.
The hypothesis that safety measures may lead to behavioral changes that offset the benefits of the measures, potentially leading to risk compensation. Crucial for understanding risk behavior and designing systems that account for compensatory behaviors.
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance. Fundamental for developing and evaluating machine learning models in digital product design.
The effort required for users to complete a task or interaction within a system. Essential for optimizing usability and minimizing user effort.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Essential for driving data-informed decision making, predicting trends, and uncovering valuable insights in digital product design and development.
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.
The main brand in a brand architecture that houses sub-brands or extensions. Crucial for providing overarching brand identity and consistency across sub-brands.
Customer Experience (CX) is the overall perception and feeling a customer has when interacting with a company, its products, or services. Crucial for ensuring positive interactions with a company, driving loyalty and satisfaction.
Situation-Complication-Resolution (SCR) is a communication and problem-solving framework used to structure information clearly and logically. Crucial for effectively conveying complex ideas and solutions in business and design contexts.
Performance and Accountability Reporting (PAR) is a comprehensive document that outlines an organization's performance in achieving its goals and its accountability in managing resources. This report is essential for transparency, governance, and continuous improvement.
Customer Advisory Board (CAB) is a group of key customers who provide feedback and insights to a company to help guide its strategic decisions. This group is crucial for aligning products and services with customer needs and expectations.