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Fred Wilson had a post yesterday titled Mentor/Investor Whiplash. His recommendations for dealing with it can be summarized as “collect all the data, think about it, discount what investors have to say, and ultimately listen to what the market is telling you over what advisors / investors tell you.”
I then read through the comments on the post and was bummed out. Many missed the point of what I thought Fred was trying to say. Then I reread the post more carefully and noticed how he framed the issue. The paragraph that caught my attention was:
I call this constant advising/mentoring of early stage startups “mentor/investor whiplash” and I think it is a big problem. Not just with the accelerator programs but across the early stage/seed startup landscape.
I bolded “I think it is a big problem” – that clearly set the tone for the comments.
I disagree with Fred. It’s not a big problem. It’s the essence of one of things an accelerator program is trying to teach the entrepreneurs going through it. Specifically, building muscle around processing data and feedback, and making your own decisions.
At Techstars, we view mentor whiplash as a positive attribute. We talk about it openly – all the time. I believe that if you ask five mentors the same question you’ll get seven different answers. This is especially true early in any relationship, when the mentors are just getting to know you and your company.
That’s good. That’s how business works. As an entrepreneur you get an endless stream of conflicting data on every issue. Your job is to sort the signal from the noise. Tools like Lean Launchpad and the concept of Lean Startup can help early on, but in some cases they’ll just collect more conflicting data, or validate (or invalidate) a particular hypothesis.
As the business grows, there are more points of stimuli, more agendas, more exogenous factors, and more potential whiplash. If you don’t build your own muscle around collecting, synthesizing, dealing with, and decided what to do with all the data that is coming at you, then you are going to have massive problems as your company scales up. So learning how to do this early on your journey is very powerful.
I view the accelerator environment, at least what we are creating at Techstars, to be an example of a safe environment. It’s an artificial construct that includes a massive amplification of stimuli and data over a short period of time (90 days) from people who – as mentors – should have the ultimate goal of being helpful to you. Now, every mentor – and investor – who you interact with – has their own emotional and intellectual construct of what they are doing and how they are interacting with you. That’s another layer of the positive impact – you have guides (your lead mentors, the people running the accelerator) who can help you decode the feedback. Your peers are interacting with the same mentors – often on the same day – and a short conversation with some of them can help you calibrate quickly.
Now apply Fred’s points (per my summary):
Collect all the data, think about it, discount what investors have to say, and ultimately listen to what the market is telling you over what advisors / investors tell you.
At Techstars, we repeat over and over again the following mantra to the entrepreneurs going through the accelerator.
It’s just data. It’s your company.
If you are in an accelerator, don’t be afraid of mentor whiplash. Don’t view it as a negative. Embrace it. Build muscle around it. Learn to process it. Filter out the noise. Run experiments on the stuff that seems valid to confirm or deny it. Make your own decisions!
Are you building a cloud startup? If so, apply to TechStars Cloud today!
Earlier this month TechStars announced its newest accelerator program, TechStars Cloud, and we are looking for the best cloud startups we can find to go through the inaugural program.
We’ve gotten a lot of questions about what constitutes a “cloud startup”, so here is a discussion of what we think are cloud startups. We think we can do something special with this program and have big expectations for the results we’ll see when we connect early stage cloud startups to the best cloud mentors and companies.
If you haven’t heard, we have upped the initial funding in the program to 118k.