agency-client-interview

Structured client discovery is an interview process that adapts question flows to gather business objectives, audience needs, and brand context. It standardizes onboarding by generating populated project context files for immediate kickoff and governance.

Conduct a client discovery interview by providing an initial project brief. The skill uses progressive disclosure to ask adaptive questions, avoiding participant overload while capturing essential details to populate your brand-voice.md and target-audience.md files.

Context files needed for AI agency project setup include brand-voice.md, target-audience.md, visual-identity.md, tech-preferences.md, and quality-standards.md. These populated files provide the foundational governance and technical scoping for the project.

Yes, a single client discovery interview can scope both audience analysis and technical preferences. The structured question flow adapts to responses to uncover audience needs and technical requirements, outputting them into separate target-audience.md and tech-preferences.md files.

The best way to standardize client onboarding context gathering is applying a repeatable interview framework. This approach uses progressive disclosure to capture depth gradually, ensuring consistent population of .agency/context/ files across different projects.

You should avoid using a structured discovery interview flow when you have existing, fully populated .agency/context/ files. The framework is designed to scaffold initial context; if project governance and brand context are already established, the interview is unnecessary.