Any anecdotes you can share? Also, I meant "make sure" in a negative way. As in you "make sure things are statistically significant" by e.g. p-hacking. Not that this isn't done in science but I think you're more in danger of being embarrassed during peer review than by the C-suite reading your executive summary...
Most companies that care will run everything though an AB test, the number of AB tests is physically limited by traffic volume and the team in charge of measuring the results of the AB tests is not the team that created the experiment. That makes it much harder to p-hack since you cannot re-run experiments infinitely on a laptop, and the measurement team is judged on the accuracy of their forecasts versus the revenue impact.
