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20 Categories · 12 Method forms
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Turns current state, opportunities, and strategic options into a tangible result by clarifying the strategic vision, defining perspectives, and establishing a review cadence.
Core question: Which 12-20 metrics and initiatives across four perspectives translate the strategy into manageable work without neglecting learning or customer-oriented levers?
Moves technical problems, hypotheses, and next steps toward a concrete result through "formulate the goal clearly", "derive probing questions for each goal", and "set the review cadence".
Core question: Which questions must we be able to answer to know whether we are reaching our goal, and which metric answers each question?
Moves target group, value, goals, and priorities toward a concrete result through "name the main metric", "collect possible unintended side effects", and "use counter metrics alongside the main metric in reviews".
Core question: What undesirable side effect would increasing the top metric cause, and how can we detect it early?
Moves observations, needs, and patterns toward a concrete result through "define a goal for each HEART dimension", "identify signals for each goal", and "agree on a review cadence".
Core question: Which five UX dimensions do we measure with which goals, signals, and metrics, and how do we connect them into balanced decision-making?
Moves target group, value, goals, and priorities toward a concrete result through "define the top metric", "describe the main driver of the top metric", and "set the review cadence".
Core question: How does the top metric decompose into controllable sub-metrics, which one contributes how much, and who is responsible for each lever?
Turns funnel behavior, user behavior, and experiments into a tangible result through mapping customer value, collecting candidate metrics, and deriving input metrics.
Core question: Which one metric reflects the value the product creates for users and correlates with sustainable growth?
Turns funnel behavior and experiments into a tangible result through defining funnel stages, selecting metrics per stage, and planning experiments.
Core question: Which metric represents each AARRR stage, where is the largest leverage at the bottleneck, and which experiments address it?