Domain Authority
A metric that predicts how well a website will rank on search engine result pages (SERPs), based on factors like backlink quality and quantity. Important for understanding and improving a website's search engine performance.
A metric that predicts how well a website will rank on search engine result pages (SERPs), based on factors like backlink quality and quantity. Important for understanding and improving a website's search engine performance.
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.
Operations and processes that occur on the user's computer rather than on a server. Crucial for creating responsive and interactive web experiences that leverage the user's device.
Integrated Business Planning (IBP) is a process that aligns strategic, operational, and financial planning to optimize business performance. It ensures cohesive and efficient planning across all functions.
A statistical technique that uses random sampling and statistical modeling to estimate mathematical functions and simulate systems. Useful for risk assessment, decision-making, and performance optimization in digital product design.
The tendency for individuals to put in less effort when working in a group compared to when working alone, due to reduced accountability. Crucial for understanding group dynamics and designing systems that ensure individual accountability.
The process of planning, executing, tracking, and analyzing marketing campaigns. Essential for ensuring the success and efficiency of marketing campaigns.
Goal-Question-Metrics (GQM) is a framework for defining and interpreting software metrics by identifying goals, formulating questions to determine if the goals are met, and applying metrics to answer those questions. This framework is essential for measuring and improving software quality and performance.
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.
A Service Level Agreement (SLA) is a formal contract between a service provider and a customer that defines the level of service expected. Essential for setting clear expectations and responsibilities, ensuring quality and reliability.
The process of self-examination and adaptation in AI systems, where models evaluate and improve their own outputs or behaviors based on feedback. Crucial for enhancing the performance and reliability of AI-driven design solutions by fostering continuous learning and improvement.
Visitors who arrive at a website through unpaid search results, often driven by effective SEO strategies. Essential for understanding and improving a website's visibility and performance in search engines.
The percentage of email recipients who open a given email. Important for measuring the effectiveness of email marketing campaigns.
A cognitive bias where individuals underestimate their own abilities and performance relative to others, believing they are worse than average. Important for understanding self-perception biases among designers and designing systems that support accurate self-assessment.
A principle stating that productivity increases when the computer and its user interact at a pace that ensures neither has to wait on the other. Important for designing responsive systems that enhance user productivity.
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.
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.
Conversion Rate Optimization (CRO) is the systematic process of increasing the percentage of website visitors who take a desired action, such as making a purchase or filling out a form. Crucial for improving user engagement and achieving business goals.
A focus on the results or benefits of a project rather than the activities or deliverables produced. Crucial for ensuring that efforts are aligned with achieving meaningful results.
Cost Per Click (CPC) is an online advertising model where the advertiser pays each time a user clicks on their ad. This model is crucial for measuring and optimizing the effectiveness of online advertising campaigns.
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.
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.
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.
Click-Through Rate (CTR) measures the percentage of users who click on a specific link out of the total users who view a page, email, or advertisement. This metric is important for assessing the effectiveness of digital marketing campaigns and user engagement.
The percentage of users who continue to use a product or service over a specified period, indicating user loyalty and engagement. Essential for assessing the effectiveness of user retention strategies and improving user experience.
Measurements that track the effectiveness of each stage of the funnel, such as conversion rates and drop-off points. Crucial for identifying areas of improvement in the customer journey.
The ability to deliver products or services in the most cost-effective manner without sacrificing quality. Key to reducing costs and improving profitability.
Activities that give the appearance of innovation but do not produce tangible results. Important for recognizing and avoiding ineffective innovation efforts.
The process of evaluating a product by testing it with real users to gather feedback and identify usability issues. Essential for validating design decisions and ensuring the product meets user needs.
Culture, Automation, Lean, Measurement, and Sharing (CALMS) is a framework for guiding the implementation of DevOps practices. Important for fostering a DevOps culture and improving collaboration, efficiency, and continuous improvement in product design teams.
A practice of performing testing activities in the production environment to monitor and validate the behavior and performance of software in real-world conditions. Crucial for ensuring the stability, reliability, and user satisfaction of digital products in a live environment.
A systematic evaluation of behaviors within an organization or process to identify areas for improvement and ensure alignment with goals. Crucial for understanding and improving user behaviors and organizational processes.
The process of training an AI model on a large dataset before fine-tuning it for a specific task. Crucial for building robust AI models that perform well on various tasks.
The setting where software and systems are actually put into operation for their intended use. Essential for ensuring that products are fully functional and meet user requirements in a real-world setting.
The process of determining which tasks should be performed by humans and which by machines in a system. Essential for optimizing system efficiency and usability.
Redundant, outdated, or unnecessary code or design elements that accumulate over time in a system. Important for identifying and removing to maintain clean, efficient, and maintainable systems and interfaces.
A cognitive bias where individuals overestimate the likelihood of extreme events regressing to the mean. Crucial for understanding decision-making and judgment under uncertainty.
The origins of visitors to a website, such as search engines, direct visits, social media, and referrals from other sites. Crucial for understanding and optimizing website traffic and marketing strategies.
The process of defining and creating algorithms to solve problems and perform tasks efficiently. Fundamental for software development and creating efficient solutions.
A sorting algorithm that distributes elements into a number of buckets, sorts each bucket individually, and then combines the buckets to get the sorted list. Useful for understanding more advanced algorithmic techniques and their applications.
A marketing strategy where affiliates earn a commission for driving sales or traffic to a company's website. Crucial for product managers and marketers to expand reach and drive sales through partnerships.
A marketing strategy that involves releasing a product to a limited audience to evaluate its market performance before a full-scale launch. Important for assessing market response, identifying potential issues, and refining digital products before a wider release.
A thorough examination of a brand's current position in the market and its effectiveness in reaching its goals. Important for assessing brand health and identifying areas for improvement.
The practice of linking one page of a website to another page on the same website, improving navigation, user experience, and SEO. Essential for enhancing website structure, user engagement, and search engine optimization.
A statistical measure that quantifies the amount of variation or dispersion of a set of data values. Essential for understanding data spread and variability, which helps in making informed decisions in product design and analysis.
Software agents that can perform tasks or services for an individual based on verbal commands. Crucial for enhancing user experience through hands-free interaction and automation.
A set of algorithms, modeled loosely after the human brain, designed to recognize patterns and perform complex tasks. Essential for developing advanced AI applications in various fields.
A measure used in Agile project management to quantify the amount of work a team can complete in a given sprint, typically measured in story points. Crucial for planning and forecasting in Agile projects and understanding team capacity.
An environment closer to production where final testing and validation occur. Crucial for ensuring that products are ready for production deployment.
A management framework that organizes employees into small, cross-functional teams (tribes) to enhance agility, collaboration, and innovation. Important for fostering a collaborative and agile work environment.
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 SEO value or authority passed from one website to another through hyperlinks, influencing the search engine ranking of the linked site. Important for understanding and leveraging the impact of links on SEO performance.
The strategic objectives that an organization aims to achieve, guiding its operations and decision-making processes. Important for aligning digital product development with the broader mission and objectives of the organization.
Operations and processes that occur on a server rather than on the user's computer. Important for handling data processing, storage, and complex computations efficiently.
A model predicting the speed-accuracy trade-off in pointing tasks when using devices like a mouse, important for user interface design. Useful for designing user interfaces that are efficient and easy to navigate.
A structured set of breakpoints used to create responsive designs that work seamlessly across multiple devices. Important for maintaining consistency and usability in responsive design.
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.
Artificially generated data that mimics real data, used for training machine learning models. Crucial for training models when real data is scarce or sensitive.
The process of performing a series of seemingly unrelated and often tedious tasks that are necessary to solve a larger problem. Important for recognizing and managing the indirect tasks that contribute to achieving the main objectives in digital product design.
An SEO issue that occurs when multiple pages on the same website target the same keyword, causing them to compete against each other and potentially harming search rankings. Important for optimizing SEO strategy and ensuring that each page targets unique keywords effectively.