1.4 Self-Reflection: Practice working SMART

The scenario

You are three weeks into your new job as a junior data analyst. The company you work for has just collected data on their weekend sales. Your manager asks you to perform a thorough exploration of this data. To get this project started, you must ask some questions and get some information.

SMART questions
As a refresher, SMART questions are:
• Specific: Questions are simple, significant, and focused on a single topic or a few closely related
• Measurable: Questions can be quantified and assessed.
• Action-oriented: Questions encourage change.
• Relevant: Questions matter, are important, and have significance to the problem you're trying to solve.
• Time-bound: Questions specify the time to be studied.

Ask the right type of questions
You can apply the SMART framework to all types of questions. The type of questions you ask can help you explore deeper with your data. Consider the ways your questions help you examine objectives, audience, time, security, and resources.
Some common topics for questions include:
• Objectives
• Audience
• Time
• Resources
• Security

Reflection

Consider the scenario above:
• Based on the SMART framework, which questions are most important to ask?
• How will these questions clarify the requirements and goals for the project?
• How does asking detailed, specific questions benefit you when planning for a project? Can vague or unclear questions harm a project?
Now, write 2-3 sentences (40-60 words) in response to each of these questions. Enter your response in the text box below.

Answer

Based on the SMART framework, the most important questions to ask are about the project objectives, the time period covered by the data, and the expected outcomes of the analysis. I would also ask who the audience is for the report and what resources or tools are available to complete the project.

These questions help clarify the requirements and goals by identifying exactly what the manager wants to learn from the weekend sales data. They also ensure that the analysis stays focused, relevant, and completed within the correct timeframe while meeting the needs of the intended audience.

Asking detailed and specific questions benefits a project because it reduces confusion and helps create a clear plan for collecting and analyzing data. Vague or unclear questions can lead to incorrect results, wasted time, and misunderstandings about the project goals or expectations.