Large-Scale Scrum (LeSS) is a framework for scaling agile product development to multiple teams working on a single product. It provides a minimalist, large-scale agile approach that maintains the simplicity and effectiveness of Scrum while addressing the challenges of coordination and integration in multi-team environments.
A role focused on driving user acquisition, engagement, and retention through data-driven strategies and experiments. Essential for scaling products and optimizing user growth.
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 prioritized list of ideas and potential features for future product development, embodying a collective vision for innovation and improvement. Essential for managing creative input and maintaining an innovation pipeline that aligns with the team's entrepreneurial spirit and shared commitment to product excellence.
The process of determining whether there is a need or demand for a product in the target market, often through testing and feedback. Crucial for ensuring that a product will meet market needs and be successful.
The process of making small, continuous improvements to products, services, or processes over time. Important for sustaining growth and maintaining competitiveness through ongoing improvements.
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.
Application Lifecycle Management (ALM) is the process of managing an application's development, maintenance, and eventual retirement throughout its lifecycle. Important for ensuring the sustainability and effectiveness of digital products over time.
A deployment strategy where a new version is released to a small subset of users to detect any issues before a full rollout. Crucial for minimizing risk and ensuring the stability of digital products during updates and deployments.
The process of creating an early model of a product to test and validate ideas, features, and design choices before full-scale production. Essential for validating design choices and gathering user feedback early in the development process.
The systematic process of capturing, evaluating, and implementing ideas to drive innovation, reflecting a collective commitment to continuous improvement and product excellence. Essential for harnessing team creativity and maintaining the entrepreneurial spirit that characterizes successful product development.
The process of quickly creating a preliminary version of a product to test and validate ideas before full-scale development. Important for validating design concepts and gathering user feedback early.
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.
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 process of running a system for an extended period to detect early failures and ensure reliability. Important for ensuring the stability and performance of digital products before full-scale deployment.
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.
A preliminary version of a project or system used to test and validate its feasibility before full-scale implementation. Crucial for identifying potential issues and making necessary adjustments to improve the final product.
A Japanese term meaning "continuous improvement," focusing on small, incremental changes to enhance processes and products. Crucial for fostering a culture of ongoing improvement and excellence in product design and development.
Software that acts as an intermediary between different systems or applications, enabling them to communicate and function together. Crucial for integrating various components and ensuring seamless interaction within digital products.
A cognitive bias where people underestimate the complexity and challenges involved in scaling systems, processes, or businesses. Important for understanding the difficulties of scaling and designing systems that address these challenges.
A repository for team members to submit and collect innovative ideas, reflecting a commitment to fostering creativity and shared ownership of product development. Crucial for maintaining an open culture of innovation and capturing diverse perspectives that contribute to the product's evolution and success.
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text. Essential for natural language processing tasks, content generation, and enhancing human-computer interactions across various applications in product design and development.
A time-boxed period in which Agile teams deliver incremental value in the form of working, tested software and systems. Essential for aligning teams, managing dependencies, and ensuring continuous delivery.
A set of practices and principles that guide agile methodologies, such as Scrum and Kanban, to improve project management and product development. Important for structuring agile practices and ensuring effective project delivery.
A collection of reusable components, guided by clear standards, that can be assembled to build any number of applications, ensuring consistency and efficiency. Crucial for maintaining design consistency and efficiency across products.
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation. Essential for evaluating model performance and preventing overfitting in digital product analytics.
SAFe is a framework designed to scale agile practices across large organizations by integrating agile and lean principles. It is widely used but criticized for its rigidity, bureaucratic structure, and potential to stifle true agile culture.
Above the Line (ATL) refers to marketing activities carried out at a macro level to reach a large audience through mass media such as TV, radio, and print ads. Essential for building brand awareness and reaching a wide audience.
Application Release Automation (ARA) is the process of automating the release of applications, ensuring consistency and reducing errors. Crucial for accelerating the delivery of software updates and maintaining high-quality digital products.
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 cognitive bias where individuals evaluate outcomes relative to a reference point rather than on an absolute scale. Essential for understanding decision-making and consumer behavior.
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.
Weighted Shortest Job First (WSJF) is a prioritization method used in agile and lean methodologies to maximize value by comparing the cost of delay to the duration of tasks. Essential for effectively prioritizing work to ensure the highest value tasks are completed first.
A design strategy that prioritizes the mobile user experience by designing for mobile devices first before scaling up to larger screens. Crucial for creating accessible and responsive designs that work well on all devices.
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.
An approach to information architecture that begins with high-level structures and breaks them down into detailed components. Helps in creating a clear and organized framework from the outset, ensuring consistency and coherence.
Program Increment (PI) Planning is a cadence-based event that serves as the heartbeat of the Agile Release Train, aligning teams on goals and priorities for the next increment. Crucial for aligning teams, setting goals, and planning work.
A mindset and approach that embodies the entrepreneurial spirit, passion for improvement, and deep sense of ownership typically associated with a company's founders. Essential for maintaining agility, innovation, and customer-centricity as organizations grow and mature.
Feature Driven Development (FDD) is an agile methodology focused on designing and building features based on client-valued functionality. Essential for delivering client-valued features efficiently and effectively.
Business Process Modeling Language (BPML) is a language used for modeling business processes, enabling the design and implementation of process-based applications. Important for defining complex business processes and ensuring their effective implementation in digital products.
Business Process Automation (BPA) refers to the use of technology to automate complex business processes. Essential for streamlining operations, reducing manual effort, and increasing efficiency in recurring tasks.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides. Useful for capturing high-level trends and patterns, but should be complemented with thick data to gain a deeper understanding of user behavior and motivations.
Model-Based Systems Engineering (MBSE) is a methodology that uses visual modeling to support system requirements, design, analysis, and validation activities throughout the development lifecycle. Essential for managing complex systems, improving communication among stakeholders, and enhancing the overall quality and efficiency of systems engineering processes.