Strategy, discovery, metrics, growth, pricing, design, delivery and leadership. Each entry says when it is the right one to pick up.
Knaflic's book on communicating with charts. Covers choosing an effective visual, eliminating clutter using Gestalt principles, directing attention with preattentive attributes, thinking like a designer, and building a narrative arc around the data.
Spiegelhalter frames statistics as the practice of turning a real question into data and back into an answer, using a problem solving cycle as the spine of the book.
A short definition of Kanban as a strategy for optimising the flow of value through a system, maintained independently of any one training body. It defines the workflow a team makes explicit, the three practices of visualising the …
Reinertsen sets out a large collection of numbered principles for managing the flow of product development work, grounded in queueing theory, economics and control theory.
The companion volume to Site Reliability Engineering, written to answer the question of how to put the ideas into practice. Where the first book describes how Google runs production, this one gives worked examples of service level …
A short book about the work that happens before any analysis, namely turning a vague request into a question that data can answer. Shron proposes a scoping framework covering the context you are working in, the need behind the …
Written by experimentation leaders from Microsoft, Google and Airbnb, this is the reference on A/B testing done properly. Covers metrics and the overall evaluation criterion, statistical power and sample sizing, the twyman's law …
Gothelf and Seiden reframe an OKR as a sentence about human behaviour, asking who you want to change the behaviour of, what you want them to do differently, and by how much.