Costs of Poor Quality. Are we monitoring the projects using non-Researchers for research? Have we checked if research quality set a later stage of the project up for mistakes or failure? For example, was usability testing highly flawed, invalid, or didn’t deliver the information Designers needed to improve their designs? Did something that research “told” us turn out to not be accurate? Did we release something to the public or deliver it to a client, but it’s partially or wholly failing? What did that cost us in reputation, stock price, customer trust, Customer Support utilization, negative word of mouth, or customers downgrading or leaving? Did we make a big enough mistake where we had to roll back a software release, undo a price increase, or negate something we delivered to the public? What are the costs of that mistake and the efforts to fix or undo it? 11. Costs of Attrition and Worker Dissatisfaction. Did anybody quit our company partially or wholly due to democratization? It would be a serious loss if that knowledge and capability walked out the door. Researchers might not want to stay in a workplace where anybody can do their job regardless of proficiency. Non- Researchers might not like more tasks dumped on them, especially if they already have no spare time. Your workers might stay, but are they happy? If you opened a job in their domain, would they recommend that their friends work here? Are they telling their network that this is a great place to work? We must monitor all of these. And with some effort, we could calculate the time and money spent on most, if not all, of these. We should be able to quantify what this experiment costs, and compare that to the salaries that we could have paid professionals to do this work.