LEARN. PRACTICE. GROW.Concept and mechanism
Technical risk affects the ability to deliver, operate, and adapt a product. It may appear as incompatibility, insufficient performance, regressions, or a hard-to-change dependency. The Scrum Master need not choose implementation to help: they can support the team in exposing assumptions, impact, and learning. A bounded experiment is useful when it tests important uncertainty before commitment expands. Define what will be observed and how the result influences the decision. If a build improvement works for one small service, there is evidence in that context; generalizing requires assessing representativeness. A partial result can guide learning without supporting a universal promise.
Guided application
Delayed integration may hide risk behind green local statuses. For the same product, common completion criteria help establish whether a usable increment exists. If client and service disagree about a required field, isolated pipelines do not prove the integrated journey. Do not use a future integration Sprint to justify counting incompatible components as a usable product today. Also observe shortcut costs: removing tests may raise apparent volume and consume later capacity in regressions. Discuss that effect through evidence and prevention options. The aim is to retain quality and the ability to respond to new needs through informed technical-investment decisions.
A performance experiment should state volume, environment, and relevant criterion; “it ran once” is insufficient information for a broad forecast.
Common pitfalls
Popularity as proof; local green as integration; investigation without a decision; reduced quality to raise apparent velocity.
Related topics: Organization, incentives, and systemic barriers · Empirical decisions under uncertainty
Connect technical assumptions with evidence, impact, and product choices.
Reference: Developing and Delivering Products Professionally · PSM II; Scrum Guide November 2020; no public numbered exam revision