data-question

Define clear business questions using the LEND workflow and SMART framework.

Updated May 9, 2026

Search Tags:#business analysis #data strategy #SMART questions #analysis planning #data question clarification

Ready to run

npx skills add https://github.com/LeandroBenjaminL/lend-ai --skill data-question

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-question
Source: https://github.com/LeandroBenjaminL/lend-ai/tree/main/skills/data-question
Command: npx skills add https://github.com/LeandroBenjaminL/lend-ai --skill data-question

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps users define clear business questions before data analysis, ensuring focused and meaningful insights.

Core Features & Use Cases

Business Question Clarification: Guides users in formulating precise business questions.
Workflow Guidance: Provides a structured LEND workflow for analysis.
SMART Question Framework: Ensures questions are Specific, Measurable, Achievable, Relevant, and Time-bound.
Use Case: Before diving into a dataset, this Skill helps users define a clear objective, align it with business goals, and ensure the analysis is feasible with available data.

Quick Start

Use the data-question skill to define a clear business question for your next analysis.

Frequently Asked Questions about data-question

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

FAQPage Schema

How do I clarify a business question before starting data analysis?▼

The LEND workflow provides structured guidance for analysis planning, while the SMART question framework ensures your business question remains Specific, Measurable, Achievable, Relevant, and Time-bound for effective insight generation.

What is the SMART question framework for business analysis?▼

The SMART question framework ensures business questions are Specific, Measurable, Achievable, Relevant, and Time-bound. It facilitates formulating precise analytical objectives aligned with business goals and feasible with available data.

How do I align my data strategy with business objectives?▼

You can align data strategy with business objectives by defining clear, focused questions before querying datasets. Structured workflows like LEND guide this alignment by ensuring analysis feasibility and meaningful insight generation.

When do I need to define a business question before diving into a dataset?▼

You need to define a business question before diving into a dataset whenever you require focused, meaningful insights. Pre-analysis definition ensures your analytical approach aligns with business goals and available data.

Can I use the LEND workflow to guide analysis planning?▼

Yes, you can use the LEND workflow to guide analysis planning. It provides structured guidance for defining precise business questions, ensuring alignment with business objectives, and verifying data feasibility.

What is the best way to ensure data question clarification for effective insights?▼

The best way to ensure data question clarification is applying the SMART framework within the LEND workflow. This structured approach guarantees objectives are measurable and achievable with available data.