I think the biggest strength of my pitch is that the pain points of job search and career uncertainty are real concerns for students, and this is a common service demanded by students, career and academic advisors in the industry. Furthermore, the pitch is unique, with data collected from the well-known and well-regarded company LinkedIn. My pitch provides a new insight and method to help students resolve this career-related issues better, and create more meaningful connections. The association with LinkedIn will help with the marketability of my company, and my many years of experience in the industry should help with the competency of the company's development. The use of LinkedIn data and AI would create more costly efficient career advising services, and likely create more return by creating better accessibility and reach more users to generate better return.
One of the weaknesses is that I do not have the full financial numbers of my new company, and a good estimate on the forecasted return of the investment. For example, I lack the estimated cost of using LinkedIn services in my company, and the ask of my venture fund is based on typical fund needed for a start-up of this scope. Once my company is up and running, if it is profitable, it is very possible that the work could be replicated by LinkedIn, and other bigger career advising sites, losing its uniqueness. I also lack a full management team credentials to make my company more appealing to investors, thus making this investment rather risky. Another weakness is that the market growth for career counselling industry is rather small, there is no real data right now how AI and digital services could boost this number in the future, as this is a rather traditional industry. There is also a privacy concern with this service as there is an integration of real people and student data in the system.