Navigating the complexities of career and personal growth can often feel like traversing a stormy sea without a compass. Traditional guidance tells us to “follow our passions” or “visualize success” – not bad advice, per se, but I’ve found these strategies lacking.
What if we could apply the same precision and logic used in scientific discoveries to our own lives? Imagine if career planning could be as methodical as a lab experiment, and life choices optimized through rigorous engineering practices.
Does this sound a little over-the-top, geeky, or callous? Well, hear me out.
If meditation retreats, corporate mentorship programs, and online aptitude quizzes aren’t cutting it for you, then consider this alternative: Relying on concrete frameworks and proven tools. Using methods that we know work from centuries of successful innovation. Leveraging structured, evidence-based practices to engineer our own success.
For those of us who are scientists or engineers, this process feels familiar and accessible. For those who aren’t – here’s a chance to find out what the fuss is all about, to learn about technical tools and methods, and to apply them to what matters most.
Let me give you a taste of how this works.
Setting the Stage: Systems Thinking and Goal Setting
Systems thinking is a holistic approach to problem solving that considers the relationships and connections of a system’s many constituent parts. Applying this to our lives lets us see how various elements – like skills, relationships, and resources – interconnect and influence one another. In my case, mapping out components such as family, friends, jobs, health, professional network, and hobbies has helped me identify leverage points, anticipate conflicts, and optimize my personal and professional systems.
Goal setting is crucial for any journey because it’s impossible to chart a course – or know if you’ve arrived – without defining what success looks like. This phase, too often glossed over, is essential for clarity. Effective goals are SMART: specific, measurable, attainable, relevant, and time bound. Take time to observe and reflect: When am I at my best? What saps my energy? How do I recharge? What do I really want?
Tried-and-true techniques like SWOT analysis (assessing strengths, weaknesses, opportunities, and threats), mind mapping, and design thinking are valuable for visualizing and refining goals. Objectives and key results (OKRs) help clarify goals and measure progress toward those goals. During my recent career transition, these methods helped me pinpoint my career and personal development goals. With the help of a career coach, I identified a set of objectives that felt authentic and right: giving back, making an impact, being healthy, having autonomy, exercising creativity, continuing to learn, and working with great people. This clarity transformed my approach and focused my efforts.
The Exploratory Phase: Background Research, Hypothesis Generation, and Experimentation
Like any good scientist, I did extensive background research before ramping into experimentation mode. Just as I did when I was working on my Ph.D., I reviewed prior art: what’s been tried, what’s worked for others, and potential pitfalls. This included a literature review (books, articles, blogs, podcasts, talks) and market research (focus groups, interviews, networking, trends). This comprehensive research helped me understand my options and what might work for me.
The next step in the scientific method is hypothesis development. I imagined that the nonprofit sector might provide a good fit for me, giving me a sense of purpose. I guessed that board service and consulting would offer learning and impact. I speculated that teaching would appeal to my desire for creativity and giving back. I began to form an overarching hypothesis that a portfolio career – one in which I pursue a variety of experiences, without a full-time commitment to any single endeavor – would allow me autonomy, flexibility, and fulfillment.
I then designed and ran a series of experiments. Thought experiments (a.k.a. gedankenexperiments), A/B testing, and controlled experiments allowed me to test my hypotheses. I visited nonprofits, interviewed for board positions, created course proposals, and more. It was not all smooth sailing; some options fit, others did not. I reminded myself that experiments that disprove hypotheses are still successful experiments. This structured approach allowed me to make informed adjustments and design future experiments.
Iterative Problem Solving: Data-Driven Decisions and Continuous Improvement
As I explored options, I paid attention to how these experiments made me feel and collected data: key performance indicators (KPIs) to measure progress and inform decisions. Career-related KPIs might include the number of interviews, energy levels after encounters, or job offers. On the personal front, I focused on physical health – exercising, sleeping more, and reducing back pain. I experimented with strength training, yoga, diet, supplements, and more. Control experiments allowed me to identify causal relationships and provided quantitative insights: How much more sleep did I get after going to the gym? How much less pain reliever did I need after yoga? These insights clarified what to do more of or less of.
The engineering design process emphasizes iterative problem-solving and continuous improvement. Techniques like Agile, Lean, and Minimum Viable Products (MVPs) are relevant to career and life exploration since rarely are we “one and done.” Agile processes break down goals into manageable tasks, embrace change, and prioritize work based on value and urgency. Lean processes focus on reducing waste and maximizing value. In the context of career development, this includes mapping the value stream (such as skill or experience gaps) and eliminating activities that don’t add value (like excessive meetings or unnecessary reporting). An MVP is a small-scale, low-risk trial that allows you to quickly validate a concept and collect feedback. Rather than apply for full professor positions, my teaching MVP was serving as a visiting professor for a one-credit class; after a retrospective (including reflecting and gathering feedback), my next iteration will be teaching two full classes in the fall.
Resilience and adaptability are key to thriving amidst uncertainty. Building fault tolerance helps us thrive through adversity, learn from failure, and maintain balance. For consulting roles that I found less rewarding, I employed root cause analysis to discover underlying issues, gain insights, and guide future choices. Establishing a governance framework, including a vibrant network, is crucial for success. I’ve been fortunate to have family, friends, colleagues, and mentors as my personal board of directors. Lifelong learning and continuous application of these principles are essential. Reflect on your journey, embrace the process, and continue to engineer your best life.
The Scientist’s Toolkit: Engineering Success in Career and Life
Adopting this rigorous approach to career and personal development, based on the principles of science and engineering, is both powerful and practical. By treating career and life decisions as hypotheses to be tested, we can systematically explore various paths, learn from failures, and pivot based on evidence. Engineering design principles incorporate robust feedback loops to guide career and life decisions that enhance adaptability and innovation. Emerging technologies like AI and new approaches including real-time feedback, adaptive learning, and individualized analytics offer unique opportunities for personal and professional growth. These approaches not only help optimize current strategies but also cultivate a mindset that embraces change, encourages creative problem-solving, and leads to the discovery of unexpected opportunities and solutions.
