A team runs an experiment, but the sample is inappropriate and the data collected are too weak to support a clear conclusion. What is the most defensible next decision?

Which option is a testable hypothesis rather than only a broad assumption?

Why should a team define its decision rule before seeing experiment results?

Which is the strongest actionable metric for testing a clickable prototype?

A team changes its target customer, pricing model, AI feature, interface and sales channel in one experiment. What is the main problem with this design?

A student team wants to apply Build-Measure-Learn correctly. Which sequence best reflects the logic?

Which statement best explains Lean Startup in the context of BU6017 Week 5?

A team believes busy Bahraini micro-retail owners struggle to verify suspicious payment-related messages. Which Week 5 test is strongest as an early next step?

A team creates a credible landing page describing a proposed service and measures whether relevant visitors request early access before the service is fully built. What type of test is this?

Which use of AI is appropriate during Week 5 experimentation?