Advanced Analysis for Case Competitions

Advanced analysis is about decision confidence, not analysis volume. Judges trust teams that isolate the few assumptions that can change the recommendation.

Start with a first-principles issue tree

• decompose the objective into controllable drivers
• test which driver has the highest leverage
• ignore analysis that does not change the decision

Triangulate key assumptions

• validate market size using two methods
• cross-check customer behavior with both data and proxy evidence
• explain mismatch instead of hiding it

Build a sensitivity table judges can read in 10 seconds

• select 2 to 3 critical inputs only
• show base, downside, and upside cases
• state the threshold where your recommendation changes

Mini example

If your strategy depends on a 20 percent conversion uplift, test what happens at 8 percent and 12 percent. If the economics collapse, your recommendation is fragile and needs redesign.

Elite edge

Add one "kill test" slide: "What evidence would prove our recommendation is wrong?" Teams who do this look more senior and credible.