des-business-questions

Convert ambiguous business intent into a prioritized question catalog mapped to consumers and decisions.

2|Updated May 20, 2026
One-click install
npx skills add https://github.com/DKSang/DES-SKILL --skill des-business-questions
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: des-business-questions
Source: https://github.com/DKSang/DES-SKILL/tree/main/skills/des-business-questions
Command: npx skills add https://github.com/DKSang/DES-SKILL --skill des-business-questions

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents data engineering agents from starting technical design (KPIs, schemas, pipelines, and dashboards) when the business questions are vague, duplicated, unprioritized, or not mapped to real consumers and decisions.

Core Features & Use Cases

  • Business Question Catalog creation: Produces a business-readable catalog of answerable questions, each tied to a consumer, a target decision/use case, and an expected answer format.
  • Phase-Orchestrated validation: Uses Phase 01 context and handoff readiness to drive question discovery, classification, prioritization, evidence mapping, and HALT-based guardrails.
  • Support-plan and evidence outputs (Phase 02): Generates required Phase 02 support artifacts (support plan, evidence pack, artifact revision, done gate, and Phase 02→03 handoff) to ensure downstream phases can proceed safely.

Quick Start

Use the des-business-questions skill after Phase 01 discovery and handoff exist (or with explicitly accepted risk) to draft and prioritize the Business Question Catalog for your data engineering project.

Frequently Asked Questions about des-business-questions

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn vague business requirements into prioritized data engineering questions?

To turn vague business requirements into prioritized questions, you need a structured approach that maps ambiguous intent to a catalog of answerable questions tied to specific consumers and target decisions before technical design begins.

When should I prioritize business questions instead of starting technical data pipeline design?

You should prioritize business questions instead of starting technical design when your business questions are duplicated, vague, unprioritized, or unmapped to real downstream consumers and target use cases.

What is the best way to map business questions to downstream decisions in a data engineering workflow?

The best way to map business questions to downstream decisions is to build a business-readable catalog where each question is explicitly tied to a consumer, a target use case, and an expected answer format.

How do I create a business question catalog that ensures safe handoff to technical design phases?

To create a business question catalog that ensures a safe handoff, you must generate support artifacts like an evidence pack and a done gate, enforcing evidence-backed prioritization without defining final KPI formulas.

Do I need a Phase 01 discovery brief to prioritize business questions for a data project?

Yes, you need a Phase 01 discovery brief and handoff context to drive question discovery, classification, prioritization, and evidence mapping, or you must explicitly accept the risk of proceeding without it.

What are the limitations of prioritizing business questions before defining KPI formulas?

A key limitation is that prioritizing business questions stops short of defining final KPI formulas or implementing technical designs, focusing solely on producing a validated question catalog and safe phase handoff.