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June 1, 2021
GRIT Future List honoree, Konstantin Morjan, shares advice for starting a career in insights.
I enjoy cars – especially 1990s BMWs – and all types of video games. I’ve been developing a video game on the side for about six years. It’s a space-age strategy game about survival on a new planet.
I’ve taken up horseback riding as an adult.
I don’t always agree with Elon Musk, but I admire the way he makes his ideas real.
Without a doubt, it’s creating Phebi. The ability to detect emotion in people’s voices is something different and new. I’m honored that Phebi was recognized by both IIEX and the MRS for its innovation.
I started programming when I was only fourteen. I had an internship, and afterwards, I was hired to finish the projects. I met Mike Page, my co-founder at Phebi, about ten years ago. Mike has been in insights tech for most of his career, and that meeting led me into insights as an entrepreneur. My first business did scripting and other work related to SPSS Dimensions.
From a technology perspective, the market research industry moves quite slowly. Even if you have a good idea, you have to be persistent for it to be adopted.
Unfortunately, it hasn’t changed a lot – yet. I think there will be more change in the next ten years than in the past ten.
I say, “When you have an idea, go with it.” I’ve done that but, still, it’s good advice for anyone.
Being an entrepreneur and an innovator starts with having a good idea. Once you have that, you need to be persistent and work hard. As a technologist, you need to have a good understanding of the problem you are trying to solve, and what’s possible, then you need to apply logic to solve the problem.
A leader is not just a boss. A boss tells people what to do, but a leader inspires people, works with people, and keeps the team moving towards the goal.
One of the great things about working at Phebi is that everyone is an advocate for our customers. We don’t have to bring ourselves back to a focus on our customers; we have to decide which of many good ideas to do first.
Like everyone else, I’ve been locked down during the pandemic. During that time, I’ve been working on detecting the emotion in people’s voices at Phebi, which is a first for the industry. Given that people prefer talking over typing and that talking results in answers with more rich potential for insights, advancing Phebi’s capabilities, both stand-alone and integrated with other restech, is critical for the industry, not just our company.
Clients are already demanding better insights faster and at a lower cost. New research technology, both in terms of the underlying methods used, such as AI, and in terms of automating routine tasks to improve both speed and consistency, and more aggregation of data are needed to accomplish that. All of those things are already on the rise as traditional surveys decline.
The pace of change. Consumers are changing rapidly; the industry needs to change at the same rate just to keep up. If they want to stay relevant to their clients, insights professionals have to adapt quickly. Traditionally, researchers have thought logically and proceeded carefully as part of showing clients that their work is credible. That’s important, but today it isn’t the full answer. Now, they can’t wait for others to try new things and prove them out; they have to get out of their comfort zones and be on what feels to them like the bleeding edge in terms of the use of technology and data.
There’s an inherent tension between the collection, aggregation, and use of data and people’s privacy. All researchers, but especially the new ones who are leading change, are going to have to figure out how they navigate that – how do they comply with regulations without creating a high bar that constrains the innovation that comes from new companies with new ideas. Also, as technology and innovation make the industry more agile and efficient, there is likely to be less entry-level work in the industry. The good news is that there is likely to be much more interesting and challenging work.
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The views, opinions, data, and methodologies expressed above are those of the contributor(s) and do not necessarily reflect or represent the official policies, positions, or beliefs of Greenbook.
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