Stakeholder Communication and Enablement
The architect's design is only as good as its adoption. This domain tests translation: converting technical constraints into business language and business questions into technical specifications, without losing meaning in either direction. Candidates should understand the artifacts that enable stakeholders: the measurement plan, variable dictionary, data layer specification, QA sign-off record, and change log. Each exists to let a non-technical reader understand what a metric means and who owns it.
Know how to run requirements workshops, manage scope through prioritization, and set expectations about what analytics cannot answer. Understand the enablement lifecycle: training on reports and segments, documentation of definitions, governance of who may create components, and a feedback loop where stakeholder questions drive roadmap.
Communication also covers incident and change communication: announcing taxonomy changes, deprecations, and data corrections with impact statements and dates.
Traps: presenting raw technical detail to executives and business framing to engineers; agreeing to a metric without defining it; letting stakeholders create overlapping calculated metrics without governance; and failing to communicate a variable deprecation, which silently breaks dashboards. Questions often reward the option that documents and socializes a change over the one that ships fastest.
Rule of thumb: every metric needs a one-sentence definition a non-analyst can repeat, plus a named owner. If the definition cannot be stated simply, the design is not finished.
Worked example: a team wants a 'customer health score.' The architect runs a workshop to define inputs, weights, refresh cadence, and owner, then publishes the definition alongside the calculated metric so dashboard consumers interpret it consistently.