Clickstream Analysis
The process of collecting, analyzing, and reporting aggregate data about which pages a website visitor visits and in what order. Essential for understanding user behavior and improving website navigation and content.
The process of collecting, analyzing, and reporting aggregate data about which pages a website visitor visits and in what order. Essential for understanding user behavior and improving website navigation and content.
A decision-making tool that helps prioritize tasks or projects based on specific criteria, such as impact and effort. Essential for effective project management and resource allocation.
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.
Also known as Parkinson's Law of Triviality, is the tendency to spend excessive time on trivial details while neglecting more important issues. Crucial for improving project management and team efficiency.
Enterprise Architecture (EA) is a strategic framework used to align an organization's business strategy with its IT infrastructure. Crucial for optimizing processes, improving agility, and ensuring that technology supports business goals.
The process of examining large and varied data sets to uncover hidden patterns, correlations, and insights. Important for making informed business decisions and identifying opportunities for innovation and growth.
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.
A role focused on driving user acquisition, engagement, and retention through data-driven strategies and experiments. Essential for scaling products and optimizing user growth.
The ability to intuitively understand what makes a product successful, including market needs, user experience, and competitive landscape. Important for making informed decisions that lead to successful product development.
A cognitive bias where people prefer a smaller set of higher-quality options over a larger set with lower overall quality. Useful for designing product offerings and experiences that emphasize quality over quantity for users.
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.
A principle stating that 80% of effects come from 20% of causes, often used to prioritize tasks and identify key areas of focus. Essential for prioritizing tasks and focusing efforts on the most impactful areas.
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.
The process of planning, executing, tracking, and analyzing marketing campaigns. Essential for ensuring the success and efficiency of marketing campaigns.
A systematic evaluation of all features in a product to determine their usage, effectiveness, and alignment with business goals. Essential for optimizing product performance and user satisfaction.
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 theoretical framework in economics that assumes individuals act rationally and seek to maximize utility, used to predict economic behavior and outcomes. Important for understanding traditional economic theories and designing systems that account for rational decision-making.
The process of ranking leads based on their perceived value to the organization. Useful for prioritizing sales efforts and improving conversion rates.
The final interaction a customer has with a brand before making a purchase. Important for understanding which touchpoints drive conversions.
A metric used to evaluate the trustworthiness of a website based on the quality of links pointing to it, often used in SEO. Crucial for improving website credibility and search engine rankings.
The combined efforts of humans and AI systems to achieve better outcomes than either could alone. Important for leveraging the strengths of both humans and AI in various tasks.
A motivational theory suggesting that individuals are motivated to act based on the expected outcomes of their actions and the attractiveness of those outcomes. Important for understanding motivation and behavior, distinct from decision-making under uncertainty.
Any process or administrative barrier that unnecessarily complicates transactions and creates friction, discouraging beneficial behaviors. Important for identifying and eliminating unnecessary obstacles that hinder user experiences.
The practice of comparing performance metrics to industry bests or best practices from other companies. Essential for identifying performance gaps and opportunities for improvement.
Extremely large data sets that can be analyzed computationally to reveal patterns, trends, and associations. Crucial for gaining insights and making data-driven decisions.
The percentage of leads that convert into customers. Crucial for measuring the effectiveness of marketing and sales efforts.
A framework that outlines how a product is developed, managed, and delivered, including roles, processes, and tools used throughout its lifecycle. Crucial for ensuring efficient and effective product management and development.
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.
Measurements used to evaluate the success of an organization, employee, or process in meeting goals. Necessary for assessing performance and driving continuous improvement.
A data visualization technique that shows the intensity of data points with varying colors, often used to represent user interactions on a website. Essential for understanding user behavior and identifying areas of interest or concern in digital product interfaces.
A tool used to prioritize tasks based on their impact and effort, helping to focus on high-value activities. Important for prioritizing tasks effectively to maximize impact with minimal effort.
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.
The stages a product goes through from introduction to growth, maturity, and decline, influencing marketing and development strategies. Crucial for planning product development and marketing strategies at each stage of the product's life.
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.
A cognitive bias where people overemphasize information that is placed prominently or in a way that catches their attention first. Crucial for designing interfaces and information displays that manage user attention effectively.
An algorithm used by Google Search to rank web pages in their search engine results, based on the number and quality of links to a page. Essential for understanding search engine optimization and improving website visibility.
A pricing strategy where a high-priced option is introduced first to set a reference point, making other options seem more attractive in comparison. Important for shaping user perceptions of value and creating a benchmark for other pricing options.
Lifetime Value (LTV) is a metric that estimates the total revenue a business can expect from a single customer account throughout their relationship. Crucial for informing customer acquisition strategies, retention efforts, and overall business planning by providing insights into long-term customer profitability.
A technique that visualizes the process users go through to achieve a goal with a product or service. Essential for identifying pain points and optimizing user interactions to improve overall experience.
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.
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 systematic approach to managing innovation processes, from idea generation to implementation. Crucial for effectively harnessing creativity and ensuring successful innovation outcomes.
Total Quality Management (TQM) is a comprehensive management approach focused on continuous improvement in all aspects of an organization. Essential for ensuring high-quality products and services and achieving customer satisfaction.
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 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.
A professional who designs, builds, and maintains systems for processing large-scale data sets. Essential for enabling data-driven decision-making and supporting advanced analytics in organizations.
A process decision toolkit that allows organizations to tailor their agile practices to their specific needs, promoting agility and continuous improvement. Crucial for optimizing agile practices to fit organizational contexts.
Happiness, Engagement, Adoption, Retention, and Task (HEART) is a framework used to measure and improve user experience success. Important for systematically evaluating and enhancing user experience.
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.
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.
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.
Return on Advertising Spend (ROAS) measures the revenue generated for every dollar spent on advertising. Essential for assessing the effectiveness and profitability of marketing campaigns.
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.
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.
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.
A statistical method that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data. Essential for predicting outcomes and understanding relationships between variables in digital product design and analysis.
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.
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.
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.
The speed at which users start using a new product, typically measured as a percentage of the target market over a specific period. Essential for evaluating the success of a product launch and planning subsequent strategies.