Artificial Intelligence of Things (AIoT) is the integration of AI with the Internet of Things (IoT) to create smart systems that can learn and adapt. Crucial for developing advanced, intelligent products that offer enhanced user experiences and operational efficiencies.
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.
A prioritized list of features, enhancements, and fixes that are intended to be addressed in future product development cycles. Essential for managing and planning product development activities efficiently.
The study of the relationships between people, practices, values, and technologies within an information environment. Helps in understanding and designing systems that are sustainable and adaptive to human and environmental changes.
The accumulated consequences of poor design decisions, which can hinder future development and usability. Crucial for understanding and addressing the long-term impact of design choices.
Internet of Things (IoT) refers to a network of interconnected physical devices embedded with electronics, software, sensors, and network connectivity, enabling them to collect and exchange data. Essential for creating smart, responsive environments and improving efficiency across various industries by enabling real-time monitoring, analysis, and automation.
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.
A mathematical framework used to analyze strategic interactions where the outcomes depend on the actions of multiple decision-makers. Useful for designing systems and processes that involve competitive or cooperative interactions.
Detailed descriptions of a product's features, functionality, and technical requirements, used to guide development and ensure all stakeholders are aligned. Essential for ensuring that the product development process is clear and aligned with business and user needs.
A type of data visualization that uses dots to represent values for two different numeric variables, plotted along two axes. Essential for identifying relationships, patterns, and outliers in datasets used in digital product design and analysis.
Market Requirements Document (MRD) is a comprehensive document that outlines the market's needs, target audience, and business objectives for a product. It serves as a crucial tool for aligning product development efforts with market demands and business goals, ensuring that the final product meets customer needs and achieves market success.
Natural Language Processing (NLP) is a field of AI focused on the interaction between computers and humans using natural language. Essential for developing applications like chatbots, language translation, and sentiment analysis.
The extent to which individuals or organizations plan for and consider the long-term consequences of their actions. Crucial for designing strategies and products that are sustainable and adaptable over time.
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 meeting at the end of a sprint where the development team presents their completed work to stakeholders. Crucial for gathering feedback and demonstrating progress.
Product Advisory Council (PAC) is a group of customers, industry experts, and stakeholders who provide feedback and guidance on a company's product strategy and development. Essential for aligning products with market needs and driving innovation.
A strategic plan that outlines the goals, milestones, and steps needed to deliver a product that achieves desired outcomes incrementally, providing a clear path forward. Essential for guiding product development and ensuring alignment with strategic objectives.
An interdisciplinary study of systems, examining the complex interactions and relationships between components within a whole. Crucial for understanding and designing complex, interconnected systems.
The process of defining a product's objectives, strategy, and roadmap, ensuring alignment with market needs and business goals. Important for setting a clear direction for product development and ensuring strategic alignment.
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.
The study of cultural norms, values, and practices and their influence on human behavior. Useful for designing products that are culturally sensitive and relevant.
Strengths, Weaknesses, Opportunities, and Threats (SWOT) is a strategic planning tool that is applied to a business or project. Essential for strategic planning and decision-making.
A simplified, informal language used to describe the logic and steps of an algorithm or program, without syntax of actual programming languages. Useful for planning and communicating algorithms and program structures before implementation in digital product development.
The study of dynamic systems that are highly sensitive to initial conditions, leading to unpredictable behavior. Important for recognizing and managing unpredictable elements in design and development processes.
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.
The practice of being open and honest about operations, decisions, and business practices, fostering trust and accountability. Essential for building trust with users and stakeholders and ensuring ethical business practices.
Numeronym for the word "Localization" (L + 10 letters + N), adapting a product or content to meet the language, cultural, and regional preferences of a specific target market. Essential for ensuring product relevance in different regions.
A performance testing method that evaluates the system's behavior and stability over an extended period under a high load. Essential for identifying memory leaks and ensuring the reliability and performance of digital products under prolonged use.
A technique used to prioritize product features based on the potential impact on customer satisfaction and business goals. Essential for aligning product development efforts with user needs and business objectives.
The practice of guiding and inspiring teams to develop and deliver successful products, often involving strategic vision, team management, and innovation. Crucial for driving product success and fostering a culture of innovation and excellence.
The process of encoding sensory input that has particular meaning or can be applied to a context, enabling deeper processing and memory retention. Important for understanding how information is processed and stored, enhancing design of educational content.
A principle that states tasks always take longer than expected, even when considering Hofstadter's Law itself. Important for setting realistic project timelines and managing expectations in digital product development.
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.
The introduction of a new product to the market, involving planning, marketing, and distribution efforts to maximize its initial impact. Essential for ensuring a successful market entry and driving early adoption and sales.
A pattern of rapid and sustained growth after a period of linear or stagnant growth, resembling the shape of a hockey stick. Crucial for understanding and planning for rapid expansion phases in digital product lifecycle and business strategy.
A structure or framework used to create effective prompts for AI systems, ensuring clarity and context. Important for standardizing and improving AI prompt design.
The practice of optimizing individual web pages to rank higher and earn more relevant traffic in search engines, focusing on both the content and HTML source code. Crucial for improving the visibility and relevance of web content in search engine results.
A project or venture that starts from scratch, with no constraints imposed by prior work, enabling innovation and flexibility in development. Essential for recognizing opportunities for innovation and fresh development in business initiatives.
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes. Essential for improving the accuracy and relevance of AI responses.
An activity during a design audit where printed screens representing customer journeys are reviewed collaboratively with stakeholders to assess design quality and identify areas for improvement. Essential for ensuring design consistency, gathering feedback, and making informed decisions on design enhancements.
A method in natural language processing where multiple prompts are linked to generate more complex and contextually accurate responses. Essential for enhancing the capability and accuracy of AI models in digital products that rely on natural language understanding.
The preferred version of a web page that search engines should index, used to avoid duplicate content issues and improve SEO. Essential for managing SEO and ensuring the correct indexing of web pages.
The process of assigning target keywords to specific pages on a website to optimize each page for relevant search terms and improve overall SEO strategy. Crucial for creating a structured and effective SEO strategy.
The tendency to overvalue new innovations and technologies while undervaluing existing or traditional approaches. Important for balanced decision-making and avoiding unnecessary risks in adopting new technologies.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures. Critical for understanding the characteristics of data and informing appropriate analysis techniques in digital product development.
Specific conditions that must be met for a product or feature to be considered complete and satisfactory. Essential for product managers and developers to ensure clarity and alignment on what constitutes "done".
Return on Investment (ROI) is a performance measure used to evaluate the efficiency or profitability of an investment or compare the efficiency of different investments. Crucial for assessing the financial effectiveness of business decisions, projects, or initiatives.
The degree to which a product satisfies strong market demand, often considered a key indicator of a product's potential for success. Essential for validating the viability of a product in the market and guiding strategic decisions.
Emerging patterns and movements in design that gain popularity and influence on a global scale. Important for staying current with industry standards and innovating design practices.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models. Essential for improving the alignment and performance of AI systems in real-world applications.
A strategic planning tool that focuses on outcomes and objectives rather than specific features, allowing for flexibility in achieving goals. Important for maintaining strategic focus and adaptability in product development.
A cognitive bias where group members tend to discuss information that everyone already knows rather than sharing unique information, leading to less effective decision-making. Important for understanding group dynamics and improving the quality of collaborative decision-making among designers.
A group of stakeholders that regularly meet to discuss and guide the development and strategy of a product or product line. Crucial for ensuring diverse input and alignment on product strategy and decisions.
A pricing strategy that offers a middle option with substantial value at a moderate price, often perceived as the best deal by users. Useful for driving sales by presenting a balanced choice that appears more attractive relative to higher and lower-priced options.
A brief daily meeting in Agile project management where team members share updates on their progress, plans for the day, and any obstacles they face. Essential for maintaining communication, transparency, and coordination within Agile teams.
A short, daily meeting (separate from Standup) for the development team to sync on progress and plan for the day, part of the Scrum agile framework. Crucial for maintaining team alignment and momentum in agile projects.
An economic theory that explains why some necessities, such as water, are less expensive than non-essentials, like diamonds, despite their greater utility. Useful for understanding consumer behavior and designing pricing strategies.
The part of an application that encodes the real-world business rules that determine how data is created, stored, and modified. Crucial for ensuring that digital products align with business processes and deliver value to users.
A methodology for creating design systems by breaking down interfaces into their basic components (atoms, molecules, organisms, templates, and pages). Essential for creating scalable and maintainable design systems.
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.