ROI models are a lot like fortune telling. Intuition, experience, and observation are the tools used to predict the future. And yet, like any forecast, an ROI (return on investment) model is subject to change.
Getting my husband to agree to anything is like getting legislation through Congress. So I presented an ROI model to Cuk when I wanted to convince him to support my PhD program.
I estimated how much the degree would cost in student loans ($4000/qtr), then I multiplied that over a conservative estimate of how long it would take (5 years). I then researched how much I could expect to earn after completing the PhD (80% more than 2006’s salary) and multiplied that over how long I would be working afterwards (30 years).
The purpose of an ROI model is to convince people that an idea’s payoff is worth the costs associated. Cuk agreed the investment was sound. I enrolled in Capella University’s curriculum for achievement of a PhD in Organizational Management in the fall of 2006.
Take a Chance
What I have learned about an ROI model since that initial attempt is that a complete model must include peripheral costs associated with potential interruptions. These are risks in the ROI model. These risks adjust figures and change the model, rendering it at best inaccurate and at worst a terrible misrepresentation of reality.
For example, the earnings piece of my PhD ROI model is affected by several factors that, in 2006, were unforeseen: 1) the economy tanked in 2008 and employers adjusted their pay grades downward because the market was flooded with talent and 2) unemployed workers flooded universities pursuing degrees, creating a highly-educated talent pool.
See the Unforeseen
Other interruptions include cultural and personal change. For example, from 2008 until 2011, in resounding chorus, workers sang, “just be glad you have a job!”