Strategy, discovery, metrics, growth, pricing, design, delivery and leadership. Each entry says when it is the right one to pick up.
Thomke studied experimentation programmes at companies including Booking.com, Microsoft and Amazon, and wrote about what turns testing into a capability rather than an occasional activity.
Ellis and Brown document the growth team process. You need a cross functional team, a north star metric, a high tempo cycle of analysing, ideating, prioritising and testing, and a growth model that maps the equation behind the numbers.
Rodrigues works through the analytical toolkit for consumer products, from defining metrics to building models that explain user behaviour. The book starts with behavioural theory and the argument that a metric needs a causal …
Bland and Osterwalder catalogue forty four experiments for testing desirability, feasibility and viability, each with cost, setup time, evidence strength and reliability rated.
Ries applies manufacturing derived thinking to new products under uncertainty. The build measure learn loop, validated learning, innovation accounting and the pivot all originate or are popularised here.
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 …
Sharon organises the book around the questions product teams ask rather than around research methods. Each chapter takes a question such as who the customers are, what problem is worth solving, whether people want the thing, or …