Why is problem framing important in analytics?
Clear problem framing ensures your analysis addresses the right issue and delivers actionable insights.
What does analytical question design involve?
Translating a general problem into specific, measurable questions that can be analyzed with data.
Name two benefits of framing problems well.
Improved focus, clearer data requirements, actionable insights, efficient analysis
Transforming a vague question like “Why are sales low?” into “Which factors most influence sales decline in Q1?” is called ______.
Analytical question design
What is the difference between a business problem and an analytical question?
A business problem is the broad challenge; an analytical question is specific and answerable using data.
Give an example of reframing a problem into an analytical question.
Example: Problem: “Customer churn is high.” Question: “Which customer segments are most likely to churn based on last 12 months of purchase data?”
Good analytical questions should be ______, measurable, and relevant.
Specific
Which of these is a well-framed analytical question?
A) Why is everything happening?
B) What factors predict customer churn in the last 6 months?
C) How do I fix sales?
D) What is business?
B) What factors predict customer churn in the last 6 months?
Why is understanding context important when designing analytical questions?
Context ensures the questions are relevant, realistic, and aligned with business or research goals.
What is one tool or method to help frame analytical questions?
Examples: 5 Whys technique, SMART framework, problem tree diagrams.
Analytical questions guide the ______ you collect and analyze.
Data
How does clear problem framing affect predictive and prescriptive analytics?
It ensures models and recommendations address the right issues and produce actionable insights.