Velocity creates momentum that drives learning and adaptability. In product development, speed enables teams to experiment, learn, and adjust before competitors react, following E3: The Principle of Quantified Cost of Delay. This unlocks two critical advantages: faster learning cycles and precision pivoting capability.
In tech startups, it is important to anticipate problems and measure success effectively. Leading and lagging indicators are key tools for this. Leading indicators are early signs that help predict future outcomes, allowing for quick actions to prevent issues. Lagging indicators, on the other hand, show past results, revealing the impact of previous actions. Both are necessary for a balanced and informed approach to growth.
One of the core objectives of ttoss (Terezinha Tech Operations) is to create a modular library system that enables product development teams to become agile, aligning with the Principle D12: The Second Agility Principle. In today's fast-moving development world, the ability to pivot and adapt rapidly is crucial. This principle emphasizes that it's not enough to merely decide to change direction—teams must be able to execute those changes quickly and efficiently.
Queues silently create massive economic waste in product development, following Q2: The Principle of Queueing Waste. Unlike visible manufacturing inventory, product development queues consist of invisible information and work items that accumulate without obvious warning signs.
Understanding these hidden costs is crucial because Q1: The Principle of Invisible Inventory makes queue problems extremely difficult to detect until they severely impact delivery. This article explores seven critical ways queues undermine economic performance and competitive advantage.
If you're new to queue concepts in product development, start with our foundational guide: Understanding Queues: The Invisible Bottleneck in Product Development.
In our previous blog, Agility in Action: Embracing Change Through Decentralized Product Decisions, we explored how decentralized decision-making in product development can enhance agility and responsiveness while maintaining alignment with broader strategic goals. In this post, we’ll delve into how organizations can effectively lay the groundwork to support decentralized product decisions, fostering a culture of autonomy and accountability.
Efficient infrastructure is crucial for running multiple applications smoothly. In this guide, we’ll show how to set up Amazon EC2 with Docker and Traefik to containerize services and manage routing efficiently. This streamlined approach simplifies deployment, optimizes server use, and ensures agility for a dynamic work environment.
In product development, initial planning is essential. We create roadmaps, set goals, and allocate resources based on the best data available at the time. However, it's critical to recognize that no plan can anticipate every problem or opportunity that lies ahead.
In today's fast-paced business environment, product decisions are often driven by deadlines, resource constraints, and the pressure to innovate. E1. The Principle of Quantified Overall Economics: Select Actions Based on Quantified Overall Economic Impact offers a strategic framework, emphasizing that every decision should be grounded in a clear economic analysis rather than philosophical debates.
An entity can have different ids through the application, from database to the frontend. For example, a user can have an id in the database, another id in the frontend because the GraphQL Global Object Identification Specification that Relay specifies. And that is because the concept of node in in a cursor-based pagination that we need to have these different ids.
In a world where efficiency and performance of web applications are crucial, Relay emerges as a powerful solution for data management in React applications. Developed by Facebook, Relay is a JavaScript library that provides a robust abstraction layer over GraphQL, a popular data query language. The main goal of Relay is to facilitate the construction of client applications that interact with GraphQL APIs in an efficient and scalable manner.