When applying the DA toolkit, you discover that your team's 'Explore Scope' process goal has multiple high-performing options. How do you decide which one to implement?
Trap 1: Select the option with the fewest steps.
Complexity might require more steps; efficiency is not just about brevity.
Trap 2: Randomly select an option to experiment.
Experimentation is encouraged, but it should be based on hypothesis and context, not randomness.
Trap 3: Select the option that is most popular in the industry.
Popularity does not equal fit-for-purpose.
- A
Select the option with the fewest steps.
Why wrong: Complexity might require more steps; efficiency is not just about brevity.
- B
Analyze your team's context factors and select the option that best addresses your current challenges.
DA is fundamentally about being context-sensitive and selecting practices that solve real problems.
- C
Randomly select an option to experiment.
Why wrong: Experimentation is encouraged, but it should be based on hypothesis and context, not randomness.
- D
Select the option that is most popular in the industry.
Why wrong: Popularity does not equal fit-for-purpose.