Does this skill help with technical system design?

No, it specifically guards the boundary between the BRD (What/Why) and the HLD (How) to ensure technical teams have the freedom to design the best solution based on clear business needs.

What happens if I don't have specific data for a requirement?

The skill will mark those items as 'Hypotheses' that require further verification, ensuring you don't mistake assumptions for facts in your documentation.

What is the output format of the interview?

It generates a standardized Markdown BRD document including project background, quantified success metrics, user personas, and scope boundaries.

How does BRD Interviewer differ from a standard AI chat?

Unlike open-ended chats, it uses a structured consultant-led methodology that forces quantification, validates assumptions, and follows professional MECE principles.

BRD Interviewer

Name: BRD Interviewer
Author: TestAny-io

byTestAny-io

•

Productivity & Workflow

Transforms vague business ideas into professional, quantifiable Business Requirement Documents through structured consultant-led interviews.

About

BRD Interviewer acts as a principal business consultant within Claude, using a hypothesis-driven approach to extract high-quality requirements. By guiding stakeholders through targeted multiple-choice questions instead of open-ended prompts, it ensures that business goals are quantified, user personas are validated, and scope boundaries are strictly defined. It bridges the gap between a raw concept and a professional-grade BRD, focusing exclusively on the business value (What and Why) while strictly preventing premature technical over-specification (How).

Key Features

Structured multiple-choice interview framework to reduce cognitive load
Dynamic industry-specific insight loading for Fintech, Healthcare, SaaS, and E-commerce
Comprehensive user profiling and requirements-source mapping
Mandatory quantification of pain points and success metrics (Current/Target/Window/Source)
Strict 'Boundary Guarding' to separate business requirements from technical HLD
6 GitHub stars

Use Cases

Standardizing requirement gathering processes for product managers and business analysts
Clarifying ambiguous project requests before they reach the technical development team
Converting a stakeholder's 'one-sentence idea' into a formal, traceable business proposal

About

Key Features

Structured multiple-choice interview framework to reduce cognitive load
Dynamic industry-specific insight loading for Fintech, Healthcare, SaaS, and E-commerce
Comprehensive user profiling and requirements-source mapping
Mandatory quantification of pain points and success metrics (Current/Target/Window/Source)
Strict 'Boundary Guarding' to separate business requirements from technical HLD
6 GitHub stars

Use Cases

Standardizing requirement gathering processes for product managers and business analysts
Clarifying ambiguous project requests before they reach the technical development team
Converting a stakeholder's 'one-sentence idea' into a formal, traceable business proposal