Chapter 5.3 (Innovation)

True or false: Experimenting is a linear process.

True or false: Convergent experiments aim to explore multiple questions at the same time.

True or false: Divergent experiments focus on direct causality.

True or false: A/B testing is an example of convergent experimentation.

True or false: Successful innovation requires both convergent and divergent experiments.

True or false: The speed of experimentation is not important for innovation.

True or false: Innovation refers to any change to a business product, service, or process that adds value?

True or false: Innovation can only involve incremental improvements to existing products or services?

True or false: Google launching a completely new product like Gmail or Google Maps is an example of innovation?

True or false: Innovation at Google only involves creating new products, not refining existing ones?

True or false: Testing ideas is expensive, slow, and difficult in the innovation process?

True or false: The goal of a business experiment is to develop a final product or solution?

True or false: There are four general paths for scaling up an innovation to a full release.

True or false: The MVP Roll-Out is the hardest path for introducing an innovation.

True or false: The Polished rollout is easier than the MVP launch.

True or false: The Polished launch is the easiest path for scaling up an innovation.

True or false: Building a test-and-learn culture is not important for large or traditional firms.

True or false: Planning to fail and celebrating failure are not considered challenges for organizations.

True or false: The convergent experimental method is particularly useful for innovating on existing products, services, and processes?

True or false: The divergent experimental method is particularly useful for innovations that are less defined from the outsets, such as new products, services, and business processes?

True or false: In a convergent experiment, the question must be as general as possible and should not be framed as a causal question?

True or false: Randomization of test and control groups is not necessary in convergent experiments?

True or false: The unit of analysis in a convergent experiment is the individual respondent?

True or false: It is not important to share the findings of an experiment with others in the organization?

Throwing good money after bad means investing more money in a failing project.

Teams with a budget will always find a way to justify their underperforming initiatives.

Adjusting future projections and postponing decisions to shut down a failing project is known as 'zombie projects'.

To avoid hazards like 'zombie projects', businesses should plan for failure.

Celebrating smart failure is a recommended practice for businesses.

Distributing this document without permission is illegal.