You've learned how to handle conflicting data and structure strong recommendations. Now, let's practice combining these skills to build a credible business case, even when the data isn't perfect.
Engagement Message
Ready to build a compelling case for action?
Type
Swipe Left or Right
Practice Question
Let's start with handling tricky data. Swipe left for professional ways to address conflicting findings and right for unprofessional ways.
Labels
- Left Label: Professional
- Right Label: Unprofessional
Left Label Items
- "Let's explore why these two data sources might differ."
- "We should acknowledge this uncertainty in our report."
- "This contradiction might reveal a new customer segment."
Right Label Items
- "This data is clearly wrong; let's ignore it."
- "I'll only show the chart that supports my point."
- "The data is messy, so we can't conclude anything."
Type
Fill in The Blanks
Markdown With Blanks
Now, build a strong recommendation. Fill in the blanks to complete the structure.
Rationale: Because analysis shows a [[blank:25%]] drop in engagement from our top users...
Action: We should launch a [[blank:loyalty]] program for this segment.
Outcome: We expect to increase their engagement by 10% within [[blank:90]] days.
Suggested Answers
- 25%
- loyalty
- 90
Type
Multiple Choice
