Team Topology
The organizational structure and dynamics of teams within a company, designed to enhance collaboration and delivery. Important for optimizing team performance and project outcomes.
The organizational structure and dynamics of teams within a company, designed to enhance collaboration and delivery. Important for optimizing team performance and project outcomes.
A team that supports other teams by providing specialized expertise and tools to improve their performance. Crucial for enhancing overall team effectiveness and efficiency.
A role in Agile project management responsible for ensuring the team follows Agile practices, facilitating meetings, and removing obstacles to progress. Essential for supporting Agile teams and ensuring successful implementation of Scrum practices.
Data points that represent an individual's, team's, or company's performance in the sales process. Essential for tracking progress, identifying issues, and optimizing sales strategies.
Work that is not performed in real-time, allowing team members to collaborate without needing to be online simultaneously. Crucial for increasing flexibility and productivity in remote and distributed teams.
Product-Oriented Delivery (POD) is a methodology that focuses on organizing teams around products rather than projects. This approach is essential for enhancing product focus, agility, and cross-functional collaboration.
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.
Key Performance Indicators (KPIs) are quantifiable measures used to evaluate the success of an organization, employee, or project in meeting objectives for performance. Essential for tracking progress, making informed decisions, and aligning efforts with strategic goals across various business functions, including product design and development.
A leadership philosophy where the leader prioritizes the needs of the team, empowering and supporting members to achieve their full potential and fostering a collaborative, inclusive environment. Important for building strong, motivated teams, enhancing collaboration, and promoting a culture of trust and respect within an organization.
Objectives and Key Results (OKR) is a goal-setting framework for defining and tracking objectives and their outcomes. Essential for aligning organizational goals, improving focus and engagement, and driving measurable results across teams and individuals.
A concise statement of what the team aims to achieve during a sprint, providing direction and a shared understanding of the sprint's purpose. Crucial for ensuring team alignment and focus on the most important outcomes during a sprint.
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 psychological state where individuals feel as though the success and well-being of a project or task is their personal responsibility, akin to having an "owner's mentality.". Essential for fostering accountability, motivation, and proactive engagement within a product design team.
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 skill set that combines deep knowledge in a single area (the vertical stroke) with a broad understanding across multiple disciplines (the horizontal stroke). Valuable for fostering versatility and collaboration within teams, enhancing problem-solving and innovation.
Quantitative measures used to track and assess the performance and success of a product, such as usage rates, customer satisfaction, and revenue. Essential for making data-driven decisions to improve product performance and achieve business goals.
An evaluation process that assesses the effectiveness, efficiency, and alignment of product management practices and strategies with organizational goals. Essential for identifying areas for improvement and ensuring alignment with business objectives.
A list of tasks and deliverables that a team commits to completing during a sprint, providing a clear focus and scope for the sprint's duration. Essential for organizing and prioritizing work within an Agile sprint.
A meeting held at the end of a project or development cycle, also known as a "post-mortem," to review what went well, what didn't, and how processes can be improved in the future. Crucial for continuous improvement and learning from past experiences to enhance future projects.
A testing methodology that verifies the complete workflow of an application from start to finish, ensuring all components work together as expected. Important for ensuring the reliability and performance of digital products, leading to better user satisfaction and fewer post-launch issues.
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.
Application Support Engineer (ASE) is a professional responsible for maintaining and supporting software applications, ensuring their availability and performance. Crucial for ensuring the reliability and user satisfaction of digital products through effective support and maintenance.
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.
Metrics that may look impressive but do not provide meaningful insights into the success or performance of a product or business, such as total page views or social media likes. Important for distinguishing between metrics that drive real business value and those that do not.
A collection of multiple squads working in the same domain or on related projects, typically consisting of 40-150 people. Important for ensuring alignment and coordination across related squads, fostering a larger community with shared goals.
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.
The study of finding the best solution from a set of feasible solutions. Crucial for improving efficiency and performance in design and development processes.
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.
The process of continuously improving a product's performance, usability, and value through data-driven decisions and iterative enhancements. Crucial for ensuring that a product remains competitive and meets evolving user needs.
The set of shared values, practices, and goals that characterize a startup company. Important for fostering innovation, agility, and a collaborative environment within product design teams.
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 ability to influence others' behavior by offering positive incentives or rewards, commonly used in organizational and social contexts. Crucial for understanding dynamics of motivation and influence in team and organizational settings.
A strategy used to determine the proportion of various SMEs needed to support a pipeline of work. Important for optimizing resource allocation, enhancing efficiency, and ensuring teams have the appropriate support based on design demand and complexity.
The percentage of leads that convert into customers. Crucial for measuring the effectiveness of marketing and sales efforts.
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.
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.
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 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.
A graphical representation showing the amount of work remaining versus time, used in agile project management to track progress. Crucial for managing project progress and ensuring timely completion of tasks.
The strategies and tools used to ensure that sales, marketing, and customer service teams have the necessary resources to effectively promote and support a product. Essential for aligning internal teams and ensuring successful product adoption and customer satisfaction.
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 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.
Product Strategy is a framework that outlines how a product will achieve its business goals and satisfy customer needs. Crucial for guiding product development, prioritizing features, and aligning the team around a clear vision.
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.
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.
Site Reliability Engineering (SRE) is a discipline that incorporates aspects of software engineering and applies them to infrastructure and operations problems to create scalable and highly reliable software systems. Crucial for maintaining the reliability and efficiency of complex software systems.
A group of individuals with similar skills or expertise, spread across different squads, who come together to share knowledge and best practices. Crucial for maintaining technical excellence and fostering professional development within specific disciplines.
A cognitive bias where individuals overestimate their own abilities, qualities, or performance relative to others. Important for understanding user self-perception and designing systems that account for inflated self-assessments.
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.
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.
A metric that measures how engaged users are with a product, often based on usage frequency, feature adoption, and user feedback. Crucial for assessing user satisfaction and identifying areas for improvement in the product experience.
An environment used for testing software to identify issues and ensure quality before production deployment. Important for detecting and fixing bugs to ensure the software's reliability and performance.
The use of technology to perform repetitive tasks or processes in a workflow, liberating skilled experts from tedious activities and empowering them to focus on higher-order problem-solving and creative tasks. Crucial for streamlining operations, reducing human error, and enhancing the overall efficiency and innovation capacity of product design teams.
A role that involves overseeing the development and improvement of technical products, ensuring they meet user needs and business goals. Crucial for bridging the gap between technical teams and business objectives, ensuring successful product development.
An environment that replicates the production environment, used for final testing before deployment. Crucial for ensuring that digital products are thoroughly tested and perform as expected before going live.
Digital Asset Management (DAM) is a system that stores, organizes, and manages digital assets, such as images, videos, and documents. Essential for maintaining and leveraging digital content efficiently in product design and marketing.
A system that allows customers to access information and perform tasks on their own without the need for assistance from customer service representatives. Important for improving customer experience and reducing support costs.
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.
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.