import type { AudienceProfile } from "./audienceProfile";
/**
 * Three example AudienceProfile shapes. Not authoritative — these are
 * sketches based on rough industry stereotypes, useful for documentation,
 * demos, and as starting points consumers can fork.
 *
 * To use one in production, copy it and tune to your audience's actual
 * survey/telemetry data. Do not assume these defaults represent your team.
 */
/**
 * Executive audience — high familiarity with bar/line/pie/gauge,
 * limited tolerance for unfamiliar chart shapes. Most likely to encounter
 * dashboards built by analysts; not building their own.
 */
export declare const executivePersona: AudienceProfile;
/**
 * Analyst audience — broader chart vocabulary, comfortable with
 * distribution-shape and matrix-shape charts. Building dashboards for
 * others; can read most things on first encounter.
 */
export declare const analystPersona: AudienceProfile;
/**
 * Data scientist audience — comfortable with the full distribution-chart
 * family, regression overlays, and density encodings. Will accept most
 * exotic shapes if they're more honest about the data.
 */
export declare const dataScientistPersona: AudienceProfile;
/**
 * Convenience map for consumers loading audience by name (e.g. from a config string).
 */
export declare const BUILT_IN_AUDIENCES: Record<string, AudienceProfile>;
