Professional Development
The Ultimate Management Feedback Case
We all may be familiar with management reviews and feedback styles such as SMART and 360 Degree, but here's an ultimate case (which is generally not-feasible) in today's post-COVID realignment, but a CEO of a smartboard company decided to call all 600 or so of his employees in 27 countries to flatten out and clarify any uncertainty that was occurring during the global shutdown.
One day, I decided I needed to call everybody. It was during COVID. Maybe it was just because I was sitting at home going, "I wonder what they're up to, what they're thinking, what they're worried about."
Income inequality is soaring to all-time highs around the world, so the delta between those in management and in non-management often seem like residing on different planets. Breaking those barriers and building community consensus is paramount to repairing relations that exist between management barriers, especially in today's uncertain business climate.
Town halls are often seen as doing the bare minimum for employees, as just a formality — not actually listening to the concerns or alarm bells that may be coming up the chain.
Smart Technologies CEO, Nicholas Svensson said the following:
It was astonishing to me that you could do that much work, and it had almost zero impact with respect to communicating some of the key things you wanted to communicate. We backed off on the town halls. It was monthly. Now, we're down to once a quarter.
Having a candid conversation without fear of reprisal is the trait of what good leadership looks like in an often-corporate world of mealy-mouthed CEOs. This is important and vital to righting the ship that is your company. This missed in the race to "AI-ify" everything in an organization. First you must get your house in order before creating synergies and streamlining operations.
Implementing AI for AI sake is a lost leader and creates more problems than it solves. It's back to the basics, and serious feedback is the logical beginning to this, especially firms that consistently miss the mark.
One piece of feedback I got from talking to the product development group was "Man, we're always jumping around from project to project," and "You guys are changing your minds all the time." So, we said, "OK, once we start, we're going to finish a project."
Candid feedback to management often doesn't show up in reports. Breaking down these barriers to communication and creating organizational synergies must come before line of business synergies, or any potential gains in growth will never occur in the first place.
CEOs like Svensson understand this is vital to understanding what employees think. They are the ones completing the work and seeing first-hand what problems arise.
Calling employees has become more of an annual thing — about 10% of the job. The calls are 30 minutes a person. It gives me a sense that I have a finger on the pulse, and so there's a certain level of kind of calm that comes with that. You have a feel for what's going on — what's up, what's down.
Granted, no leader can be expected to call every employee but getting down to what really matters — the individual workflow, can create perspective on what a company can be doing better in the realm of HR, efficiencies in communication, and ultimately grow. Growth cannot occur by cutting for cutting sake. Cutting communications will ultimately be the end of the road.
An (Almost) End to 2025 Update — 2026 Goals
🎊 As we approach the end of another year, as professionals, learners, and citizens of the world; we must look back at what we have accomplished in 2025 and what we hope to accomplish in 2026.
📖 By the time 2026 rolls around, I would have completed a total of 35 books read. This is a personal record for me, and something I’m personally proud of. I’ve learned a lot in the fields of technology, business, economics, international relations (and even threw in some autobiographies for good measure!)
✍ The fact you’re reading this now means I’ve followed through on writing more. Earlier this year, I created a new blog at my website and attempted to post as frequently as I can. While I’ve wavered a bit at this, I believe that I’ve written the most words in one year than I ever have since attending college.
💼 What do I hope to accomplish in 2026? That’s more complicated. I will continue my push for gainful employment that not only teaches me new skills, but an entity where I can bring my own skillset to the table. (Despite being dealt many blows, I have not given up!)
↗️ I will continue to work on my own health by maintaining a healthy weight, stress-levels, mental and financial health. All of the above work hand-in-hand to improving one’s life. Lastly, I’ve slacked a bit since I moved to Jersey City, but I’d love to get back into volunteering for the community — whether it be poverty alleviation, environmental, or political. When inspiration strikes or opportunities rise, I’ll keep you apprised.
"I'm a Professor. A.I. Has Changed my Classroom, but Not for the Worse." - NYT Magazine
📰The New York Time Magazine published an interesting article on how adoption, not banning of chatbot products in the classroom can actually help students as a tool, but by not doing all of the work for them. Retention and expansion of knowledge is everything.
🏫As many institutions of higher learning are dealing with chatbot-based plagiarism, many are retooling their academic playbook to adapt to how students are utilizing these instruments.
🧑🎓These methods include: adding peer-review testing, allowing for creativity and expression, and proctoring a class for more verbal engagement in the classroom among students – proving they understand and can synthesize the content in a relevant form that reinforces learning.
This was originally posted on Linkedin, December 1, 2025.
💡Great ideas are often overlooked because of self-doubt and obviousness. Preform market research like any other business plan, and you never know – your execution of the idea may be vastly superior to anything else on the market.
💹Don’t assume it’s been done before because you thought of it. Experiment and iterate, you’ll likely move it in a different direction, thus not making the idea so obvious anymore!
This was originally posted on LinkedIn.
Your Job Is Not Your Life -- Work on Finding Your Place
Our jobs and careers do not define us, despite the first question many new contacts make, “What do you do for work?” To someone like me, I believe that humans are not defined by this, yet as a society, we seem to put our only stake on that aspect of our lives. Our purpose in life goes way beyond this one narrow aspect of what we’re expected to harp on. Throughout my own counseling journey, I’ve been susceptible to the dangerous thinking that work and career is life. That’s all I’ll ever be defined by. This is not true.
In “Wellness in Eight Dimensions” workbook by Peggy Swarbrick and Jay Yudof only list ‘occupational wellness’ as one of the eight dimensions. If you’re lost in defining who you are – your identity beyond your career, this goes a long way in determining your strengths and weaknesses throughout all aspects of your life. You might be doing better than you think in some dimensions versus others.
The idea is to create balance between these eight aspects:
Stress, addiction, trauma, disappointment, and loss can impact our wellness and the balance in our lives. It seems important to balance work with play and rest, to balance time out for recuperation and recovery with living our lives fully and productively, and to balance the desire for rapid change with the known effectiveness of slow changes to build good habits.
We must not discount our eating, sleeping, social, and personal habits (that includes your own hobbies outside of work). If we balance ourselves through all of our lives, our careers will not define us but only be a small piece of the pie that make up our lives. At the end of the day, the balance of these eight aspects will end up making our careers more successful buy building our internal support system that will lift all boats.
On a personal level, I keep adding to this worksheet as it is a living document. When I think of aspects I can add to ‘financial wellness’ for example, I’ll write it down as a point where I’d like to improve. Societal pressures such as a career defining us can leave us feeling burned out, overwhelmed, making it a rat race, and compare ourselves to peers with nothing but spiraling, negative returns.
Our jobs are not a contest, and if you find yourself a workaholic or spending all your time improving your career, it may be time to look for something external with a work-life balance or improve other aspects of our lives to create these systems that makes us better at living our lives.
WSJ Study on Career Skill Certificates
Job skill certificates from the likes of Coursera or edX are exactly what you make of them. They are a jumping off point for learning new skills and techniques that can be put forward in the workforce. A recent WSJ article cast doubt on their validity and career advancements that they claim to skill-up for.
While I disagree that they should be the end all be all requirement for an employer to make decisions on a candidate – they can provide must more value that one might think. Intrigue and curiosity are the main drivers why a prospective employee may try to take one of these credentialed courses or professional certifications. It’s meant as a stepping off point in order to build upon that knowledge. It’s not what they’re doing in the course, it’s what comes after.
The credentials with the best outcomes made a difference: Workers who received one of the 2,000 top-performing credentials earned about $5,000 extra a year, on average, within 12 months of completing the programs. Many of the certificates were in nursing, radiology and other medical fields—where credentials are widely valued by employers and labor is consistently in demand.
That is the issue with his study – what’s in demand will always change. What was data analytics and coding yesterday, will be something completely different tomorrow.
Let’s take the example of the role of a Business Analyst, for example. Coursera has a wonderful program called “Microsoft Business Analyst Professional Certificate”. The idea is to take someone from the fundamentals to a working project at the end to prove their knowledge retention and introduce knowledge workers to the skills that the software company has to offer. If you’re new to Power BI, Power Apps, and the Power Platform in general, than this is a great introduction that weaves these concepts into a curriculum.
Like all skills and experience, nobody can be an expert from one pass through of this course, but what it does is lay the foundation to garner an introduction to the company’s products which are widely used in many industries. It’s not limiting to a single platform, but the concepts can be taught to many competitors products (i.e. if you understand how to use Power BI, then Salesforce’s Tableau will be understood just as easily).
Upon competition of the course, Microsoft offers a voucher for half-off the price of the entry level Power Platform certification. While the merits of the study from The Burning Glass Institute and the American Enterprise Insitute need to be delved in further, this conclusion is not a one-size fits all study. Many of us pivot careers every 2 to 5 years in today’s information economy. It’s likely that you need to reskill and retool yourself before then. Skill certificates have been always a great introduction to a new topic and interests, and they will continue to provide that crucial role in the future.
Some Personal Reflections Going into My 38th Birthday
📅 When we begin our New Years Resolutions, most are lucky if we get through the first couple of days. My personal journey has been a different story. As I’m writing this (August, 15, 2025), I can say that I’ve stuck to – and even exceeded my goals.
📱 I deleted a vast amount of my attention depleting social media (LinkedIn doesn’t count, nor does Bluesky for news feeds), and replaced it with reading. As I’m composing this, I’m approaching my 30th book completed.
🏋♂️ I set out to lose weight with the goal of 15-lbs. As of last week, I’ve hit the 50-lbs mark and have gone into weight maintenance mode.
📚 I listen to and read more content than I ever have, completing a lot of online learning; feeling confident about my base of knowledge for life. I’ve written more blog and content posts than I have ever have.
🏆 Has any of this helped me with my career aspects? No, not at all. Has it helped me become a better person? Yes. That is the most important part of it all – doing it for yourself.
🎂 As I approach my 38th birthday in a few weeks, I look back at all I’ve accomplished, and what a rocky road it’s been–yet I realize how much further I still have yet to go.
This was originally posted on my Linkedin.
MIT Technology Review Comment: Don't Ban ChatGPT in Education
Like all new technologies in education, the initial response is to ban them. Consider Wikipedia, for example. Over a decade ago, the resource was chastised for the chance that a student may plagiarize an entry. On the contrary, it’s become a well sourced tool for initial research on a subject, with well sourced citations.
Fast forward to today – LLMs are tools to be used in critiquing arguments, the creation of ideas, and a second opinion to inform the writer or reader of salient points that may have been missed. Never truly trust a technology on face value, but proper use cases must be taught (by faculty and parents) or students will fall behind.
My comment was originally posted for LinkedIn.
Knowing Your Workflow for Note Taking
🔖 In my quest to become more knowledgeable in topics and subjects that are either relevant to me or my career, I like to use tools such as Obsidian and Google Keep to just down notes and reflections.
📗 In conjunction with my routine of ingesting insightful blogs and journalism, I’ll peruse Reddit (for example) to brainstorm blog ideas or retaining useful facts to whatever project I’m considering. When following the appropriate subreddits, consider the comments as a way to consider others' opinions to challenge your own. Lastly, I will synthesize it for later use.
🧠 Personal Knowledge Management, or PKM, is only becoming more important in the age of GenAI (filtering LLM considerations from original sourcing). I have a lot of work to do in this area, but it takes practice to grasp a workflow that works for you and your needs.
I Have LLMs Critique My Writings and Posts
Continuing on the theme of LLMs enhancing your own work rather than replacing it. I had several platforms sift through and critique my writings on my posts and blogs. Some of the results were interesting, and unexpected to say the least. For this test I prompted Gemini 2.5 and Claude Sonnet 4 the following: “Critique the writings of michaelmartinez.co.”
This is yet another tool in my workflow. I could take or leave the suggestions, but as always, it’s an option. After reading through the “experiment” I want to know what you – the reader would like to see more of from me in future posts and writings.
Gemini 2.5 talked of the following strengths:
Breadth of Knowledge: Martinez exhibits a wide array of interests, seamlessly transitioning between discussions on cybersecurity, the nuances of digital advertising antitrust cases, and historical analyses of xenophobia. This breadth enriches his perspectives and allows for interdisciplinary connections.
Topical Relevance: His chosen subjects are highly relevant to current global discourse, addressing pressing concerns in the tech industry (LLMs, AI, antitrust) and societal issues (xenophobia, foreign policy).
Clear and Concise Communication: The articles are structured well, with clear headings and a direct writing style, making complex topics accessible to a broad audience. He effectively summarizes key points and arguments.
Thought-Provoking Insights: Martinez often delves beyond surface-level observations, offering insightful critiques and raising pertinent questions, such as the effectiveness of breaking up large tech companies and the future impact of AI on advertising. His willingness to express concern about negative rhetoric and connect it to historical patterns of xenophobia adds a moral and ethical dimension to his foreign policy discussions.
Personal and Reflective Tone: Elements like his “Reading Updates” and experiences with Micro.blog add a personal touch, making his content more relatable and authentic. His emphasis on continuous learning and reading widely underscores a commitment to self-improvement and intellectual growth.
Use of External References: He frequently references external sources, such as TechCrunch’s “Cyber Glossary,” Jesen Huang’s views on AI, Mark Gurman’s criticisms of Apple, and Clayton Christensen’s “The Innovator’s Dilemma.” This demonstrates research and supports his arguments with credible insights.
The second part of the output were the “Areas for Potential Enhancement”.
Deeper Dive into Specific Arguments: While he touches on various aspects of each topic, providing more in-depth analysis or expanding on specific arguments with additional evidence or case studies could further strengthen his positions.
Original Research or Unique Perspectives: While he synthesizes information effectively, incorporating more original research, unique data points, or highly distinctive viewpoints could elevate his critiques to a more authoritative level.
Engagement with Counterarguments: Presenting and directly addressing potential counterarguments to his positions could lead to more robust and nuanced discussions.
Claude provided me with almost the same strengths and weaknesses as the Gemini prompt but went further in two ways. First, is a “Content Assessment”.
Technology Commentary: His AI/LLM analysis is generally sound but not groundbreaking. He correctly identifies key limitations but doesn’t offer particularly novel solutions or frameworks for thinking about these issues.
Political Commentary: His piece on American xenophobia attempts to draw historical parallels between treatment of Japanese Americans, Muslims post-9/11, Russians during the Ukraine conflict, and current Latino deportations. While the historical connections are valid, the analysis lacks nuance and depth that such complex topics deserve.
Educational Insights: His observations about AI in education are practical and well-reasoned, particularly his emphasis on teaching critical thinking alongside AI literacy.
Lastly, Claude provided an “Overall Assessment”.
Martinez’s blog represents competent but not exceptional commentary on technology and society. His strength lies in providing accessible, practical perspectives on complex topics, particularly around AI adoption and digital literacy. However, the writing lacks the depth of analysis or original insight that would distinguish it in a crowded field of tech commentary.
The blog serves its apparent purpose as a personal platform for sharing thoughts and maintaining an online presence, but it doesn’t rise to the level of must-read commentary on the topics it covers. For readers seeking practical, moderate perspectives on AI and technology adoption, it offers value. For those looking for cutting-edge analysis or original research, they would likely need to look elsewhere.>The author’s commitment to continuous learning and reading is admirable and likely keeps his commentary reasonably well-informed but translating that input into more distinctive analytical output would strengthen the overall impact of his writing.
I will keep retooling and refining my methods in the future based on this feedback. What do you, a human, think of the assessments from two of the biggest GenAI tools out there?
AI and Learning: There's a Major Disconnect Occurring in Education
Just like with all industries and applications, the use of LLMs is literally rewriting all of the best practices with education currently being the largest social sector being disrupted at the moment. Rather than using LLMs to ‘cheat’, educators and public administrators must teach students how to use and coexist with them rather than relying solely on them.
A lot of students have abandoned critical thinking all together and resulted in outsourcing all of their knowledge to these LLMs just to make answers and save time without learning or even conducting reasoning of their own to consider what the prompts are or what they’re telling them. As a result, teachers, administrators, and parents are beyond frustrated and returning to the good old blue books as cited by this Gizmodo article.
Students need to learn how to properly research while understanding proper time management. I won’t say laziness is at work on the part of all parties involved, but the quickest way to get from A to B is often using tools at your disposal – this is true in education or eventually the workplace, however, a lot is lost in this process including how to critically think about what output LLMs are displaying or what it might mean for the overall context of the subject.
Education has always been a lagging indicator of technological trends, and this is no different. LLMs and other types of GenAI are tools, not the end all be all solution in the classroom. Using it as a partner in research yet taking a critical view of what it’s telling you is paramount to making research easier for all, without compromising the time-honored tradition of writing research papers and a child’s knowledge retention.
A full education, as always, should concentrate on a child’s soft-skills – learning how to critically think, put together proper research, how to write for life, and home in on communication skills to make them successes in their careers and lives. Tools can do that, pouring prompts into an unchecked LLM cannot.
Article Recommendation: "Want to Use AI as a Career Coach? Use These Prompts."
🏫 Harvard Business Review published an excellent article on using LLMs (GenAI) as a career coach.
🧠 As usual, be careful and watch out for hallucinations and be certain to fact check any information and utilize citations (if given).
🤝 In the end, do your own homework and remember, it’s a companion, not a monolith.
🎒 The added benefit is that you will home in on your own unique skills and make you reflect all the while, creating the basis for the utilization of LLMs, which will put you above those who do not yet use this technology.
✏️ It’s not going away, so you might as well make it work for you, in more ways than one!
This was originally a post on my personal LinkedIn page.
The Real Danger of Misinterpreting AI
Believing AI is sentient leads to false expectations—some may trust AI’s recommendations without skepticism, assuming they are the result of independent reasoning rather than probabilistic predictions. In policy discussions, regulators struggle with defining AI responsibility, misplacing ethical accountability onto models instead of the humans who deploy them. The danger is not AI itself but how we perceive and integrate it into decision-making, security, and governance.
‼️ Don’t Be Like Everyone Else:
🧠 Understand AI’s Limitations – It predicts and mimics, but it does not think. Recognizing this distinction helps avoid misinterpretation.
📖 Stay Informed on AI Ethics and Policy – Governments are trying to regulate AI’s role, but misconceptions could shape flawed laws.
🔨 Use AI as a Tool, Not a Decision-Maker – It can enhance productivity, but critical thinking must always come first.
The future belongs to those who understand AI for what it is—not what sci-fi wants it to be. Whether you’re a student, a professional, or a policymaker, mastering AI’s true capabilities is no longer optional—it’s a necessity.
This was originally posted on LinkedIn on May 30, 2025.
Reading Update: The First Half of 2025
Below are some of the highlights of my readings for the first half of the year. As I’m always on a journey of knowlege of self-improvement, I enjoy delving in to a variety of topics. Society has pinned the individual as becoming an expert in one field, while neglecting the whole person, including the humanities and soft skills!
If you’ve been following my micro.blog (this site), you’ve noticed that the Bookshelves features allow me to post when I’ve completed a read. This is a culmination of those.
Who Knew by Barry Diller: A fresh read completed just yesterday! The biography of a media mogul who ran companies such as ABC, Paramount, Fox, QVC and more.
21 Lessons for the 21st Century by Yuval Noah Harari: A thought-provoking, delving into the challenges of our current era.
On Tyranny: Twenty Lessons from the Twentieth Century by Timothy Snyder: A crucial and vital read on safeguarding democracy.
Facts and Fears: Hard Truths from a Life in Intelligence by James Clapper: Gaining insights from the accomplished intelligence professional who ran the ODNI and other agencies.
America’s New Map by Thomas P.M. Barnett: Exploring geopolitical shifts and their implications discussing free-trade, climate change, and international cooperation.
Beneath a Surface by Brad Sams: A deep dive into the intricacies of introducing and developing the Microsoft Surface, at the time, a new line of product.
Playing to the Edge: American Intelligence in the Age of Terror by Michael Hayden: Understanding the complexities of intelligence operations.
Careless People: A Cautionary Tale of Power, Greed, and Lost Idealism by Sarah Wynn-Williams: A compelling narrative about ambition and its consequences at Meta and it’s various properties.
The Sirens' Call: How Attention Became the World’s Most Endangered Resource by Chris Hayes: A timely reflection on our most valuable resource.
The Gutenberg Parenthesis: The Age of Print and Its Lessons for the Age of the Internet by Jeff Jarvis: Connecting historical media shifts to our digital present.
The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity by Amy Webb: A critical look at the future of AI and its impact; highly focused on the United States vs. China.
From Cold War To Hot Peace: An American Ambassador in Putin’s Russia by Michael McFaul: Essential reading on modern international relations.
Hit Refresh: The Quest to Rediscover Microsoft’s Soul and Imagine a Better Future for Everyone by Satya Nadella: Inspiring leadership and corporate transformation.
The Genesis Machine: Our Quest to Rewrite Life in the Age of Synthetic Biology by Amy Webb and Andrew Hessel: Exploring the frontiers of synthetic biology.
Play Nice: The Rise, Fall, and Future of Blizzard Entertainment by Jason Schreier: A fascinating behind-the-scenes look at the gaming industry.
Autocracy, Inc. by Anne Applebaum: A crucial examination of the rise of authoritarian regimes.
Chip War: The Fight for the World’s Most Critical Technology by Chris Miller: Understanding the geopolitical battle for semiconductors.
I’m currently reading two more titles, and hopefully I’ll find the time to keep it up through the remainder of the year! I will be looking forward to making a second half ‘25 post on what’s next.
Navigating the Future: Why Mastering LLMs is Essential for Today's Students & Workers
After reading this piece on CNBC’s website regarding how students should be using AI (I still prefer the term LLMs for purposes of nobody can identify what AI is and isn’t), it’s making me consider what today’s youth is learning with respect to preferential employment skills moving forward.
First consider the interviewer. Jesen Huang’s goal is to sell as many customers on GPU compute and resources as humanly possible given his field so we must take that with a grain of salt. Secondly, the tools of LLMs are a must have in today’s educational and workforce. If you aren’t utilizing prompting to the fullest extent; you are already falling behind. Take the time to find an online course through EdX or Coursera, for example, to home in these skills.
Huang stated:
Learning how to interact with AI is not unlike being someone who’s really good at asking questions,” he added. “Prompting AI is very similar. You can’t just randomly ask a bunch of questions. Asking AI to be an assistant to you requires some expertise and artistry of how to prompt it.
Like all tools, they must not only be learned but practically used. Using a tool for the sake of it, creates more problems and diminishing results will follow.
We also must question whether the idea of learning how to code is vital for today’s computer science programs. I still argue yes! If we blindly follow output from a chatbot, we lack the ability to understand what the code means, if it works, or how useful it is to the original prompt. “Is this what the client actually asked for?” or “How can we implement this?” are two major questions that will never go away. Just like Wikipedia was and is a tool as a basis for research and learning, chatbots, and LLM products should also provide this starting point. As always, check the source material as like Wikipedia, bias and humans still intervene in the research and results that an LLM product provides.
The part that Huang really gets correct is as follows:
Perfecting AI prompts — and asking better questions in general — is a skill that will remain relevant for years to come, so students should take the time to develop it, no matter what career field they see themselves in.
A large amount of Academica is yet to be versed on Large Language Models as a whole and prompting is still new to those set in their ways. Aiding in research is paramount to have a companion in the room that makes learning easier and the consumption of knowledge more streamlined.
We have a long way to go as a society between those who are skeptical of LLMs at all costs and those who talk to it and treat it as it’s a human being with real thoughts and valid feelings. The battle between skeptics vs. accelerationists is not one we should be having; but a moderating position to accept them as tools that we all must learn to be successful in any career or academic endeavor; no matter what areas of study we choose to pursue.
Ditching Instagram: Focusing on Meaningful Connections
Yes! You heard it here first. Like all of you, I was excited for Instagram when it first hit the scene back in late 2010 and still had my original account from that time. Meta (formerly Facebook) famously purchased the business for $1 billion and successfully integrated it into its ad network and social graph, but I'm not here to relive or debate history -- we can save the positives and negatives for another post.
This is not to bash the platform, nor criticize those who use it to build their business, brands and outreach. I do not have those needs. Mine was a personal account that I spent way too much time "doom scrolling", searching for vanity likes, outreach, and engagement. Personal accounts should not be used for this purpose as it adds no value, and frankly, grows into one big time constraint.
If you are a former reader of mine, you'll notice one big advantage thus far -- I'm posting a blog. Not a LinkedIn snippet or repost from BlueSky but writing an actual post which I have not done in quite some time. My annual domain registration and WordPress bills are coming due, and I want to take the time this year to build out my writing and reach through conversations, not vanity contests.
We must also consider mental health. In recent decades, one's well-being in this field is taking more seriously than it ever has been, and to different folks, that means different outcomes. For me, the question is -- what could I best be spending my time on for my skill set, career, and helping others? These values are important to me, and Instagram dopamine hits were not contributing meaningfully to those values.
So, what will I fill my days doing? I plan on working on evolving my personal networking techniques, read more (whether its audiobooks, eBooks or good old-fashioned tree-killers); and working on posting when and where it matters. I plan on making meaningful contributions to other publications to extend my reach and expertise.
The advances in AI of the past two-years have really made me reflect on what platforms and mediums are meaningful and whether they help or harm the cause. Again, I should write many more posts on that topic, and likely will. I need to learn more and talk less. Pushing out photos and media that feels "forced" is not a strategy worth pursuing.
If you would like to follow in these footsteps, I've included a link on how to delete your Instagram account. Be careful, re-logging in during the 30-day window will reset the timer and you'll have to start the countdown over again. Your mileage on taking this action can and should vary. I'm looking forward to using my new-found time to create longer, researched, in-depth posts and being confident enough in what I conclude to post on the platforms I still utilize.
Primary Source Material is Crucial for Facts & Research
Back in college we all had access to those often bulky, hard to use research databases, that sometimes worked, but often steered us in the wrong direction. We had to teach ourselves Boolean operators to properly navigate them. There was a reason other than torture for utilizing those; to help us all find primary source materials to write our research papers.
As is often the case, that's about the only time we used academia, raw data and studies to conduct our analysis on any given topic. Unfortunately, many of us negated those skills in our everyday lives. We only read tweets and not the accompanying story bylines and don't question it. We turn on cable news for answers. As soon as we rely on others to conduct the analysis, we lose control of what is fact and what is not.
For the purposes of this post, I'll be looking at the continued importance of primary source for conducting our own research for whatever we desire. I'll point out what to search for, how to do so, and how to read misleading studies and research.
Stated before, this should be a refresher from college or even high school, yet we forget such things in the era of social media and cable news. Bias is at a premium, and this should be your first factor when looking for a source to research a claim.
We will use the example of historical context of the following: A database may contain a personal letter from John F. Kennedy or Richard Nixon urging to sway the constituent their way to vote. While this is a primary source and is unique and certainly has its place in history, it is quite biased and should not be used to factcheck, unless the piece is a part of a larger historical research project, per say.
Let's take the example of a major economic number; the monthly non-farm payroll report from the Bureau of Labor Statistics. This is the primary source for all data relating to U.S. employment, unemployment, wages, including a break down where the jobs were gained, lost, and why. The method for collection is survey. Since COVID-19, the BLS has also factored in the ways in which the survey takers communicate their situation.
The response rate for the household survey was 75 percent in September 2021. While the rate was lower than the average before the pandemic of 83 percent for the 12 months ending in February 2020, it was considerably higher than the low of 65 percent in June 2020.
Bureau of Labor Statistics
We must keep in mind as the response rate returns more to normal levels, that there still may be some slack in respondents, creating a larger margin of error (MOE) in responses. As sample sizes decrease, the chance for skew increases. Though this is a primary source, keep in mind any data deterioration that may arise as the survey was collected, in this case for the month of October 2021.
Continuing on the document, the BLS talks about the misclassification issue. Surveys are meant as a point-in-time Continuing through the document, the BLS talks about the misclassification issue. Surveys are meant as a point-in-time and simply not capable of handling entire population sizes. Technically, if an employee is "on leave" due to COVID, they are not considered unemployed, thus, a misclassification has taken place.
If the misclassified workers who were recorded as employed but not at work for the entire survey reference week had been classified as “unemployed on temporary layoff,” the unemployment rate would have been higher than reported.
Bureau of Labor Statistics
Given that COVID-19 was a once-in-a-generation situation, statistical measures can be improved upon moving forward if any other possible disruptive events occur. Like all Data Scientists, hypothesis must be carefully created, methodologies are more important on a national level such as the BLS, and the data requires further refinement and consultation as to what "voluntary leave" or "furloughed" means if these become larger data points in surveys going forward.
An economic number may not be what it seems on a headline or in an article posted in CNBC, Bloomberg, NYT, or Fox Business, for example. Their job is to get clicks and engagement (positive and negative). It's how these sites and companies boost ad revenue in a world where Facebook and Google dominate the online ad market. It's your job to question where these claims came from, to consider what the bias may be, and to retrace the steps to obtain a deeper understanding of what the numbers are "really" telling.
Though it may seem a bit absurd, we all must be capable of basic data science when it comes to understanding the headline. False claims and skewed articles run ramped in the age of social media. Older publications have unfortunately fallen into the same category as they race for clicks and their own share of the ad market. Leave your own biases aside when considering what to think after reading questionable content. Do your homework, as it were. The true comprehension of the story will come through and you can inform others why these pieces may have gotten the story wrong.
One Year at a Non-Profit
Volunteering has always been a part of my personal ethos. I'm reminded of my time as an AmeriCorps VISTA at Engaging Creative Minds, which I spent a year from 2017 until 2018. I wrote this post some years ago, but it is an experience that I hope that all younger folks will take advantage of.
In creating my plans long ago, the thought never came into my mind about actively working for an educational non-profit for a year through the AmeriCorps VISTA program. One year has passed and I have fulfilled my experience and dedication to this organization. The background I possess has ramifications far beyond non-profits, but also learned quite a bit about this different type of structure along the way.
My mind works as a project manager; processing ways to try new methods and procedures quicker, failing faster, yet creating a bread trail that paves the way for others not to make the same mistakes. Learning and failing is okay, if it’s never been tried. With a Six Sigma eye, every moment of productivity moves through my brain on a filter. Planning two or three steps out to measure potential outcomes is paramount in any organizational success. Non-profits are no different.
Agile Atmosphere. Often many are working on long-term projects, operations, finance, and outreach. Non-profits have quick turnover, yet a dedicated base of volunteers, funding mechanisms, and grants. Financial and non-financial players demand the organization be open, especially to those most inclined to visualize success. Documentation is a key salient point for enduring successes. Moving quickly through what does not work allows for successful pivoting through multiple strategies.
Experimentation. Reaching towards the next internal goal is vital to expanding organizational reach to the community and to funders. How to get there takes more creativity than personnel may be used to. Not being afraid to try and fail still plagues the mindset in for-profit or government organizations. With non-profits, this thinking must be a way of life; as if organizational survival depends on it, because it does.
Scrum. In smaller organizations, there may be one or two figure heads in a department, and that is all. Departments often depend on one another to see through a strategy to its full implementation. Creating strategies and cross-functional teams, or pairing individuals, to move through plans is the only way to ensure cohesiveness. After the formulation and implementation phases, all must be brought in to be briefed on what’s next. This eliminates duplication of tasks, efforts, and allows for more frequent but quicker meetings regarding potential roadblocks.
This unique experience allowed important insights into how the multibillion-dollar non-profit sector works. The larger takeaway is that all organizational behavior only slightly differs between government agencies and the for-profit sectors. The missions and goals are the same, however only the stakeholders differ. We all serve a vast yet similar set of stakeholders throughout our lives.
Why I'm Taking a Year to Volunteer
Life experiences make up the structure of a person. Choosing to give time and effort takes dedication and sweat equity. Some may choose to give donations over their time. This all depends on what each individual is willing to commit and how dedicated they are to engulfing themselves into the effort.
Estimates from the Bureau of Labor Statistics show that only 24.9% of Americans are engaged in volunteering within their communities, a slow downward trajectory from only five years ago. Statistics aside, volunteering is about not showing that an individual cares, but rather getting personally involved with issues that are deeply ingrained to what is believed to be contributing to societal problems.
As a person who is working on his masters in intelligence management, becoming a public servant is only a small part of what is entailed. Keeping the United States secure from foreign and domestic threats is vital to my career goals, however, this cannot be taken for granted. There are American values which need to be protected, including the right of children to learn and become the country's future.
AmeriCorps VISTA offers a unique set of organizational goals to help serve the nation and improve the standing of poverty within it. Education is power. Each child must be given an opportunity to learn, explore their own potentials, and contribute to their own way to the nation. Exploring avenues for children in poverty and low-income households to explore the sciences will the strengthen resolve of educators, parents, and communities.
The goal of academia will still continue, albeit at a slightly slower pace. It is important to concentrate on the goals of the organization that is the assignment from 2017 to 2018. The courses will always be there, other opportunities may not be. Learning and assisting at all levels of society is pivotal to understanding what exactly the mission and objectives of the intelligence community means to the average person. It reminds us who is being protected and given a chance to thrive.
Putting names and faces to children who need assistance and opportunity will always be a standpoint to take away upon entering the intelligence and national security apparatus. Allowing safe environments free from threats is vital to making the United States as strong as it can be.
The Dreaded Re-introduction Post Idea
This (might be) my very last blog post of the year that was 2025. I've noticed a lot of new followers and connections via my posts or outreach on LinkedIn, and I'd like to work on a content strategy that involves "reintroducing myself" in the new year.
Currently, I'm sifting through ideas of what language I want to use, how I want to portray myself, and what my ultimate goals are — as you guessed, this will take some time, so I better begin now.
Creating a narrative through one's career can be rough, especially when your history is all over the place when considering positions held, volunteering opportunities, and educational background. This also involves taking a leap into perhaps new fields of which I might find myself worthwhile to explore.
While professional accomplishments are important, they do not define who you are as an individual. Too many companies and firms expect an individual to fit exactly in with their culture, as a cookie cutter. Personally, I don't cut that way. I have too many different experiences and networked with individuals through various fields in my life – including those career choices in which I have no interest in partaking.
This might be redundant in today's age, but use LLMs to come up with ideas, but PLEASE do not have these platforms write for you. You must be able to speak up for yourself. After all, during that interview, you will be the one speaking and explaining yourself — not ChatGPT.
As of now, I'd like to begin with an update of what I've been up to, what my hobbies are that align with my profession, what tools and objectives are important to me and what experience those bring to the table, but that's not all — in an age where AI threatens to "destroy" entry-level positions, it's important to hone in and talk about what soft skills you have. Again, it's something that LLMs are incapable of, even with the best prompt engineers among us.
Lastly, be creative with how you'd like to portray yourself — avoid LinkedIn cliche like, "You'll never guess what I did now...", or "What being in the womb taught me about B2B sales...". We're all sick of it, and I'm sure recruiters are as well.
Don't reinvent the wheel here. We're all only human, so be exactly that — human. Don't try too hard, be authentic, end with a question to invite comment and advice. You bring something unique to the table, something that others do not. If you show that off, you'll invite intrigue and let people know where you stand in your life journey.
Crafting this message takes time. It's why I'm drawing out drafts as we speak. Only you can introduce yourself, a firm, friend, or coworker can't do that for you.