You've learned about the most common leadership biases and identified your own patterns. Now let's practice recognizing these biases in real engineering management scenarios.
Engagement Message
Can you spot the hidden biases in technical decision-making?
Type
Multiple Choice
Practice Question
An engineering manager reads positive feedback about a microservices architecture they championed, but dismisses concerns about increased complexity as "people who don't understand modern development." This demonstrates:
A. Confirmation bias - seeking information that supports existing beliefs B. Halo effect - assuming one positive trait means everything is positive C. Recency bias - overweighting recent events D. Attribution bias - explaining failures differently than successes
Suggested Answers
- A - Correct
- B
- C
- D
Type
Swipe Left or Right
Practice Question
Swipe each scenario left or right based on whether it shows the Halo Effect or Horns Effect:
Labels
- Left Label: Halo Effect
- Right Label: Horns Effect
Left Label Items
- Strong coder promoted to tech lead
- Algorithm expert leads architecture
- Top performer gets complex projects
Right Label Items
- One bug colors entire code review
- Missed deadline affects all ratings
- Production issue taints all work
Type
Fill In The Blanks
Markdown With Blanks
Fill in the blanks:
