Section 1 - Instruction

Welcome to handling contradictory evidence! Real-world data rarely tells a perfect story. Sometimes your findings conflict with expectations, other data sources, or each other.

Learning to navigate these conflicts professionally separates seasoned analysts from beginners.

Engagement Message

What's one time you faced conflicting data at work?

Section 2 - Instruction

Contradictory evidence appears when data sources disagree, trends conflict, or findings challenge assumptions. Maybe your survey says satisfaction is up, but support tickets increased 40%.

Both can be true - they just tell different parts of the story.

Engagement Message

Can you think of two metrics that might seemingly contradict each other?

Section 3 - Instruction

Never ignore or hide contradictory findings. Instead, acknowledge them upfront: "While customer satisfaction scores improved, we're seeing increased support volume."

This builds trust and shows analytical integrity. Your audience will appreciate your honesty.

Engagement Message

What’s the first thing you do when findings surprise you?

Section 4 - Instruction

Present alternative interpretations fairly. "This could indicate either measurement timing issues or that satisfied customers are engaging more with our product."

Avoid picking favorites too quickly. Let the business context guide interpretation.

Engagement Message

What's one alternative explanation you've considered recently?

Section 5 - Instruction

Use phrases like "The data suggests..." or "One interpretation is..." rather than definitive statements when evidence conflicts.

This maintains credibility while acknowledging uncertainty. You're being analytically honest, not weak.

Engagement Message

On a 1-5 scale, how comfortable are you sharing uncertain findings?

Section 6 - Instruction
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