Prompt Engineering
The process of designing and refining prompts to elicit accurate and relevant responses from AI models. Crucial for optimizing the performance of AI applications.
The process of designing and refining prompts to elicit accurate and relevant responses from AI models. Crucial for optimizing the performance of AI applications.
Tell, Don't Ask (TDA) is a design principle in software engineering that promotes encapsulation by having objects handle their own data and actions. Essential for maintaining object-oriented integrity and reducing dependencies in the code.
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.
An approach to design that relies on data and analytics to inform decisions and measure success. Crucial for making informed design decisions that are backed by evidence.
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 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.
A specific group of people identified as the intended recipient of an advertisement or message. Essential for tailoring marketing efforts and achieving effective communication.
The phenomenon where having too many options leads to decision-making paralysis and decreased satisfaction. Crucial for understanding and designing user interfaces that avoid overwhelming users with choices.
A prioritization framework used in product management to evaluate features based on Reach, Impact, Confidence, and Effort. Crucial for making informed decisions about which product features to prioritize and develop.
Decision-making strategies that use simple heuristics to make quick, efficient, and satisfactory choices with limited information. Important for designing user experiences that support quick and efficient decision-making.
A fictional representation of a user segment, created based on user research to guide design decisions and ensure the product meets the needs of its target audience. Crucial for keeping design efforts focused on user needs and preferences.
Areas of unmet demand in a market where opportunities for growth and development exist. Essential for identifying new business opportunities.
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".
A user research technique where participants organize information into categories to inform information architecture and design. Essential for creating intuitive information architectures and improving user experience.
Total Addressable Market (TAM) represents the total revenue opportunity available if a product or service achieves 100% market share. Essential for understanding the full potential of a market.
A process by which users are automatically enrolled into a service or program, often used to increase participation rates. Useful for increasing user engagement and participation in services and programs.
A marketing technique focused on rapid experimentation across various channels and strategies to identify the most effective ways to grow a business. Important for quickly scaling businesses and achieving significant growth.
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 type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed. Crucial for developing intelligent systems that can make data-driven decisions.
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.
The concept in web design referring to the portion of a webpage that is visible without scrolling, with content placed above the fold being more immediately visible. Important for optimizing the placement of key content to ensure it captures user attention.
Model-View-Controller (MVC) is an architectural pattern that separates an application into three main logical components: the Model (data), the View (user interface), and the Controller (processes that handle input). Essential for creating modular, maintainable, and scalable software applications by promoting separation of concerns.
The abilities and knowledge required to effectively plan, execute, and close projects, including leadership, communication, time management, and risk management. Essential for ensuring successful project outcomes and achieving business objectives.
Joint Application Development (JAD) is a collaborative approach to gathering requirements and designing solutions in software development projects. It facilitates rapid decision-making and consensus-building by bringing together key stakeholders, including users, developers, and project managers, in structured workshop sessions.
The underlying goal or motivation behind a user's search query, crucial for understanding and optimizing content to meet user needs and improve SEO. Essential for creating content that aligns with user needs and improving search engine rankings.
A professional responsible for designing and managing data structures, storage solutions, and data flows within an organization. Important for ensuring efficient data management and supporting data-driven decision-making in digital product design.
A cognitive bias where individuals overestimate the accuracy of their judgments, especially when they have a lot of information. Important for understanding and mitigating overconfidence in user decision-making.
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables. Crucial for analyzing complex relationships in digital product data.
A logical fallacy that occurs when one assumes that what is true for a part is also true for the whole. Important for avoiding incorrect assumptions in design and decision-making.
The path taken by a user to complete a task on a website or application, including all the steps and interactions along the way. Essential for designing intuitive and efficient user experiences.
Search Engine Results Page (SERP) is the page displayed by a search engine in response to a user's query. Essential for understanding how search results are presented and how to optimize content to appear prominently.
Acquisition, Activation, Retention, Referral, and Revenue (AARRR) is a metrics framework for assessing user engagement and business performance. Important for product managers to understand customer lifecycle and optimize business growth.
A method of categorizing information in more than one way to enhance findability and user experience. Crucial for improving navigation, search, and overall usability of complex information systems.
A pricing strategy where a core product is sold at a low price, but complementary products are sold at higher prices. Useful for designing pricing strategies that maximize revenue from complementary products.
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.
An economic approach that treats human attention as a scarce commodity, focusing on capturing and retaining user attention. Crucial for understanding user engagement and designing products that effectively capture and retain attention.
A visual tool that maps out opportunities and the corresponding solutions, helping teams identify and prioritize where to focus their efforts. Crucial for strategic planning and ensuring alignment between problems and solutions.
The organization of content in a way that prioritizes and structures information according to its importance. Crucial for ensuring that users can easily find and understand information.
The process of enabling users to take control of their interactions with a product or system, enhancing their confidence and satisfaction. Crucial for designing systems that provide users with the tools and information they need to make informed decisions.
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.
A method of comparing two versions of a webpage or app to see which performs better in terms of user engagement or conversions. Crucial for designers and product managers to test variations and optimize user experience and performance.
Monthly Recurring Revenue (MRR) is a metric that quantifies the predictable revenue generated each month from customers. This metric is crucial for SaaS companies to track financial health and growth.
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.
The dynamic system of content creation, distribution, and interaction within an environment. Important for understanding how content flows and interacts within a system.
A research method that involves forming a theory based on data systematically gathered and analyzed. Useful for developing design theories and solutions that are directly grounded in user research and data.
Specific and less common keyword phrases that visitors are more likely to use when they are closer to making a purchase or when using voice search. Important for targeting niche markets and improving SEO with highly specific search terms.
The practice of dividing a customer base into distinct groups based on common characteristics. Crucial for targeting marketing efforts and personalizing customer interactions.
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 Lean methodology concept identifying seven types of waste in processes to improve efficiency. Valuable for product managers and engineers to optimize processes and eliminate inefficiencies.
The reduction in sales of a company's existing products due to the introduction of a new product by the same company. Crucial for understanding product strategy and market impacts of new product introductions.
The process of managing multiple related projects in a coordinated way to achieve strategic business objectives. Crucial for ensuring alignment and efficiency across multiple projects to achieve broader goals.
Agile Release Train (ART) is a long-lived team of Agile teams that, along with other stakeholders, incrementally develops, delivers, and operates one or more solutions in a value stream. Important for coordinating Agile development and delivery at scale.
The percentage of email recipients who open a given email. Important for measuring the effectiveness of email marketing campaigns.
The ability of an object to stand out and attract attention within its environment. Important for designing elements that need to be easily noticed by users.
A cognitive bias where individuals tend to focus on positive information or events more than negative ones, especially as they age. Useful for understanding user preferences and designing experiences that emphasize positive outcomes.
Research focused on understanding and improving information architecture (IA), ensuring that information is logically and intuitively organized for users. Crucial for optimizing the organization and accessibility of information.
Average Revenue Per Account (ARPA) is a metric used to measure the average revenue generated per user or account. Crucial for understanding and optimizing revenue streams in subscription-based businesses.
An iterative design process that focuses on the users and their needs at every phase of the design process. Crucial for creating products that are effective, efficient, and satisfying for the end users.
A form of regression analysis where the relationship between the independent variable and the dependent variable is modeled as an nth degree polynomial. Useful for modeling non-linear relationships in digital product data analysis.
The four key elements of marketing: Product, Price, Place, and Promotion, used to develop marketing strategies. Important for creating comprehensive marketing strategies that effectively promote digital products.