Wasted resources really bother me. Poor decisions, the result of choosing the wrong problems to solve, squander our limited time, talent and money every day. 
 

We can’t afford that waste anymore. 
 

As a professional, an engineer and a data scientist, a mother and a businessperson, I have learned that the task of selecting the best problem (the one that will deliver the outcome we want for the least amount of effort, time and money) is surprisingly difficult.
 

Most of the time, that’s because we don’t spend enough time at the beginning the process thinking through and comparing our options. Instead, we lock onto what looks like the “obvious” or “common sense” choice and pursue it until, halfway down that path, we discover there’s a better road to take.
 

I developed the meta-problem framework to help all of us make better decisions by choosing better problems to solve.
 

While I was studying industrial engineering in college, I discovered the field of Operations Research. I immediately recognized the way I approach problems, and I went on to get a PhD in the field. I have been writing on problem-solving through that lens since 2013.
 

In my professional life, I run a company called Analytics Strategies, where I work with business clients to solve complex, data-driven problems. My work typically includes building mathematical models, optimizing business processes (supply chains, for example) and data analytics.
 

Over time I realized many people could benefit from a new way to describe problems when the problem itself is up for discussion. I coined "meta-problem" to describe the choice of which problem to solve.
 

This website is a continuation of that project. It’s a work in progress, and I invite you to help improve and refine the meta-problem idea by sending me your suggestions and experiences as you try out the process in different aspects of your life. 
 

To book a custom-designed talk for your team, or if you want to engage me to help, please use the contact page.

Zohar Strinka