The vocabulary the exams and the daily work both assume you already have. Every entry gives the definition, the source it is drawn from, and the misreadings that follow from getting it wrong.
265 concepts, page 5 of 14
A true leader who serves the Scrum Team, the Product Owner and the organisation, and is accountable for the Scrum Team's effectiveness.
Scrum
Use customer survey responses alongside retention, product usage and commercial evidence. Understand the limits of the 40 per cent heuristic.
Strategy
Build an LLM evaluation around real task requirements, with test cases, deterministic checks, human rubrics and explicit release criteria.
Artificial Intelligence
Build a market size estimate from customer counts, eligibility, pricing and sales capacity. Distinguish annual market opportunity from obtainable revenue.
Strategy
Write a strategy brief that explains the problem, choice, evidence and implications, then test whether colleagues can use it in a real decision.
Strategy
Define a market by customer, problem, buying context and alternatives before choosing a target segment or estimating market size.
Strategy
Compare direct competitors, substitutes and the status quo, then use five forces to examine the pressures on pricing and profitability.
Strategy
Evaluate AI agents using verified task outcomes, permitted action paths, repeated trials and resource budgets, without requiring one exact tool sequence.
Artificial Intelligence
Design explicit outcomes for LLM refusals, ambiguous requests, missing evidence and incomplete output, with routing and evaluation guidance.
Artificial Intelligence
Turn a strategy into testable claims, prioritise important evidence gaps and define success, failure and inconclusive results before a test.
Strategy
Calculate LLM request costs and evaluate prompt caching, shorter outputs, model routing, streaming and parallel calls without hiding quality trade offs.
Artificial Intelligence
Connect strategic choices to customer outcomes, compare solution options and sequence roadmap work around evidence, dependencies and commitments.
Strategy
Design LLM output schemas, represent missing values and validate syntax, structure, source evidence and business rules before using generated data.
Artificial Intelligence
Connect a target customer, important problem, relevant alternative and credible benefit. Includes a worked value proposition and a customer testing exercise.
Strategy
Write clearer LLM prompts with explicit rules, few shot examples and output requirements. Learn how to handle ambiguity and test prompt structure.
Artificial Intelligence
Write objectives and key results that connect to strategy, define baselines and avoid confusing delivered features with customer outcomes.
Strategy
What it takes for a person in the loop to be oversight and no mere signature, and the three arrangements worth knowing apart.
Artificial Intelligence
Combining predictive and adaptive elements on one project, the patterns that work, and the seams between them where most hybrid arrangements actually fail.
Project Management
The hypothesis as a prediction specific enough to fail, the four parts it needs, the overall evaluation criterion set out by Kohavi, Tang and Xu in 2020, and a worked composite where the weights agreed in advance decide whether the same result reads as a win or a loss.
Metrics
How an analytics tool decides that two events came from one person, what stitching an anonymous identifier to a known account can and cannot recover, the browser storage limits that make a returning visitor look new, and the session as a timeout rule that changes every measure counted per visit.
Metrics