Tips for Communicating Clearly in Computer Science

Found this 1980 ad about writing clearly. 65 years later, it's still the best writing advice I've ever seen: 1) Know exactly what you want to say before you start Most people start writing and figure it out as they go. That's why most writing sucks. Thompson says outline first, write second. Revolutionary concept, apparently. 2) Start where your readers are, not where you are Don't assume people know what you know. Meet them at their level of understanding, then bring them along. Most "experts" write for other experts and wonder why nobody gets it. 3) Use familiar word combinations Thompson's example: A scientist wrote "The biota exhibited a one hundred percent mortality response." Translation: "All the fish died." Stop trying to sound smart. Start trying to be clear. 4) Arrange your points logically Put the most important stuff first. Then the next most important. Then the least important. Seems obvious, but most people do it backwards. 5) Use "first-degree" words Thompson says some words bring immediate images to mind. Others need to be "translated" through first-degree words before you see them. "Precipitation" => "Rain" "Utilize" => "Use" "Facilitate" => "Help" 6) Cut the jargon Thompson warns against words and phrases "known only to people with specific knowledge or interests." If your mom wouldn't understand it, rewrite it. 7) Think like your reader, not like yourself Thompson asks: "Do they detract from clarity?" Most writers ask: "Do I sound professional?" Wrong question. TAKEAWAY: This ad is from 1960. The internet didn't exist. Social media wasn't even a concept. But the principles of clear communication haven't changed. Most people still can't write clearly because they're trying to impress instead of express.

Whether you're using Replit Agent, Assistant, or other AI tools, clear communication is key. Effective prompting isn't magic; it's about structure, clarity, and iteration. Here are 10 principles to guide your AI interactions: 🔹 Checkpoint: Build iteratively. Break down large tasks into smaller, testable steps and save progress often. 🔹 Debug: Provide detailed context for errors – error messages, code snippets, and what you've tried. 🔹 Discover: Ask the AI for suggestions on tools, libraries, or approaches. Leverage its knowledge base. 🔹 Experiment: Treat prompting as iterative. Refine your requests based on the AI's responses. 🔹 Instruct: State clear, positive goals. Tell the AI what to do, not just what to avoid. 🔹 Select: Provide focused context. Use file mentions or specific snippets; avoid overwhelming the AI. 🔹 Show: Reduce ambiguity with concrete examples – code samples, desired outputs, data formats, or mockups. 🔹 Simplify: Use clear, direct language. Break down complexity and avoid jargon. 🔹 Specify: Define exact requirements – expected outputs, constraints, data formats, edge cases. 🔹 Test: Plan your structure and features before prompting. Outline requirements like a PM/engineer. By applying these principles, you can significantly improve your collaboration with AI, leading to faster development cycles and better outcomes.

Silence is deadlier than bugs in IT. So here's my 5-part framework to keep clients happy. In IT, people think the biggest sin is missing a deadline. It’s not. It’s disappearing. No update. No email. No, "this might take longer than planned." Silence turns small delays into big problems. • It breeds assumptions • Assumptions turn into frustration • Frustration kills trust I’ve seen projects slip by two months, and the client still walked away happy. Not because the work was perfect. But because every week, they knew exactly what was going on. And people in IT know problems happen. • Servers crash • Timelines shift • Code breaks But communication is the difference between a frustrated client and a loyal one. And silence kills faster than any missed deadline ever will. Now, if you want my communication framework, here's what I recommend to people: 1// Set Communication Expectations Upfront • Define channels: 2–3 preferred methods (email for formal updates, Slack for quick questions, weekly calls for big discussions) • Set response times: “Emails within 24 hours, urgent issues within 4 hours” • Create update schedules: Weekly reports, bi-weekly demos, or milestone check-ins, but make it consistent 2// Be Proactive In Communication • Update before you’re asked, even “everything’s on track” matters • Flag problems early: “This might take an extra day because of X” • Explain the “why” behind updates and changes 3// Translate Technical into Human • Avoid jargon overload • Use analogies: “Like traffic on a highway - too many requests are slowing it down” • Focus on impact: “Making the app load 50% faster for your users” 4// Build Trust Through Transparency • Own the problems: “Here’s what went wrong and here’s our fix” • Provide realistic timelines, under-promise, over-deliver • Show your work: Screenshots, videos, or live demos 5// Listen as Much as You Talk • Ask clarifying questions • Acknowledge concerns • Adapt your style to the client And beyond this, here's what else I recommend you can do: a) This Week: • Define communication channels and response times • Create a simple weekly update template (3 bullet points) • Choose a project management tool with client visibility b) This Month: • Share client communication guidelines with your team • Practice explaining services without jargon • Set up automated project updates c) This Quarter: • Survey clients on communication preferences • Train your team on best practices • Build protocols into onboarding Ultimately, the best IT founders don’t just build great products. They build great relationships. And relationships are built on great communication. Start treating communication as seriously as you treat your code. Your clients will notice the difference. --- ✍ Tell me below: When was the last time proactive communication saved you from a client blow-up?

When I started as a SOC Analyst, I thought the job was all about me, my SIEM, and my alerts. But I quickly realized: Even the best detection is useless if no one understands what I’m saying. If the IT team doesn’t get my request, they won’t isolate the machine. If leadership doesn’t understand the risk, they won’t support action. If developers don’t see the threat, they’ll push vulnerable code again. Here’s how I started building better communication skills — and how it changed everything: 1. Translate Technical to Practical Instead of: “We detected TTPs consistent with MITRE ATT&CK T1059 via base64-encoded PowerShell.” I now say: “We found someone trying to run malicious PowerShell on a user machine. It could lead to ransomware. We blocked it.” Simple. Clear. No jargon. 2. Listen Before You Send I used to send long, technical emails — assuming the other team would read and respond. Now, I ask: “What does the IT team care about?” (Steps to fix) “What does management care about?” (Business risk, cost) Tailoring your message is respect. 3. Speak Their Language For IT: Use system names, impact, urgency For Leadership: Talk risk, reputation, compliance For DevOps: Focus on secure coding and CI/CD integration 4. Document Your Ask Clearly I learned to write tickets or emails like this: What happened What I need from them Deadline or urgency Contact if they have questions This clarity saves time — and builds trust. Final Thought: You don’t just need to detect threats — you need to communicate them. The more clearly you speak, the faster your organization can act. Cybersecurity is a team sport. Communication is your bridge. How do you make sure your messages land across teams? #CyberSecurity #SOCAnalyst #SoftSkills #CrossTeamCommunication #BlueTeam #InfoSec #IncidentResponse #Leadership #DevSecOps #SOCLife #SecurityAwareness #CyberCareers #SpeakToLead

Complex and complicated explanations serve no one. I spend a lot of time explaining complex ideas. The trick isn’t to make them sound impressive. It’s to make them stick. So instead of saying “We’re building a distributed compute fabric to handle heterogeneous workloads,” I’ll say “We’re building a system that decides the best place to run your code, whether that’s a small engine or a big one.” I use plain words, pictures, and short stories so the idea sticks. Clear beats clever. If clarity threatens your status, it might not be clarity that’s the problem.

The greatest skill I’ve learned is writing code. The 2nd greatest is explaining why my code matters. Here are the 7 principles I use to communicate technical concepts to non-technical audiences. 1) Less is more This is the fundamental rule of communication. Sharing more technical details doesn’t make things clearer (it does the opposite). Judiciously sacrifice accuracy for clarity. 2) Use Stories A story is a 3-part narrative. My workhorses are: Status quo → Problem → Solution & What? → Why? → How? 3) Use Examples A representative example is often more powerful than a general definition. Use them to make abstract ideas concrete. 4) Use Analogies Analogies map the known to the unknown. For example: Fine-tuning an LLM is like turning a raw diamond from the Earth into something you can put on a diamond ring. 5) Numbered Lists In a sea of words and jargon, numbers stand out. They are a natural way to organize and share information. 6) Show, don’t tell Words take more effort to process than images. So replace text with illustrative visuals at every opportunity. 7) Slow down A short, rushed talk is more painful than a well-paced one. Make your talks clearer (and yourself calmer) by slowing down the pace of your speech. What communication principles have been most helpful to you?

When you're communicating, shoot for simple. Not simplistic. Albert Einstein famously said "if you can't explain something simply, you don't it well enough." Simple is clear, not clever. It's elegant. There are tons of ways to practice this. But this one is I'm going to share is my favorite. You've heard of it before, I'm sure: the Feynman technique. Here's how you do it. 1. Grab a piece of paper and write down a topic at the top. 2. Write whatever you know about the topic. 3. If you have a gap in your knowledge, that's okay. 4. Leave a space or put a question mark as a placeholder. 5. Underline anything you're shaky on. Come back to polish it later. But here's where your communication gets clear: Eliminate jargon. Replace jargon with an explanation of that concept in layman's terms. Spell out acronyms and abbreviations. For example, SDLC is the software development lifecycle. Simplify your sentences. Use active voice. Eliminate adverbs, adjectives, and gerunds. Remove compound sentences (using and, or, or but). For example, I coordinated a team of 10 people to complete a project. Keep lists to three items or less. For example, the tree main ingredients in bread are flour, yeast, and water. One subject and one verb per sentence. For example, Sam bought groceries. Now what you're going to say is easier to follow and easier to understand. Apply this to your LinkedIn profile, resume, and interview responses. You'll get better responses. -- 👋 Hi, I'm Jonathan. I help people in tech turn interviews into job offers. #techjobs #jobseekers #newgrads #students #interviewpreparation

📍One mistake I made in my early interviews was failing to present my projects clearly. I knew the work inside out, but I couldn’t explain it in a structured way — and that cost me opportunities. Over time, I realized that interviewers aren’t just looking for what you built, but how you communicate your impact. Here’s a framework that can help you explain any project with clarity: 🔹 Context / Background Start with a quick snapshot of the project. What was the situation? Why was the project important? Keep it concise, something you can explain in under a minute. 🔹 Problem You Tackled Highlight the exact challenge. What issue did you or your team face? Why was it worth solving? This sets the stage for your contribution. 🔹 Your Contribution Be specific about your role. Did you design, code, test, lead, or optimize? Talk about key tasks you handled, roadblocks you hit, and how you overcame them. 🔹 Solution Approach Walk through how you solved the problem. Break it down into steps so the interviewer can follow your thought process — from the initial idea to the final execution. 🔹 Tools & Tech Mention the technologies, frameworks, or methods you used. This shows your technical decision-making ability and how you apply the right tools for the job. 🔹 Results & Outcomes Quantify the impact if possible. Did you improve performance by 30%? Save the team hours of work each week? Secure positive client feedback? Numbers and concrete results make your contribution stand out. 🔹 Collaboration & Learning Close by talking about teamwork and personal growth. How did you coordinate with others? What new skills did you pick up? What would you approach differently if given another chance? ✅ Remember: An interview isn’t just about what you built — it’s about showing your ability to identify problems, craft solutions, and communicate them clearly. #InterviewTips #CareerAdvice #ProjectShowcase #SoftwareEngineering #InterviewPreparation #CommunicationSkills #TechCareers #ProblemSolving

If you’re struggling to communicate with your tech team, you’re probably making these mistakes (and they’re killing your results). Here’s how to fix it 1️⃣ Never ask “Can we do this?” In tech, the answer is almost always yes. The real questions are: How much time will it take? How much will it cost? Think of it like remodeling a house, you can build almost anything, but it comes down to your budget and timeline. 2️⃣ Don’t show up with a tool or solution. If you tell your tech team what to use, you might miss the best option. You wouldn’t walk into your doctor’s office and tell them what surgery to perform, you’d explain your symptoms, let them diagnose, and then choose from their recommendations. Same in tech: come with your problem or your future vision, not the pre-chosen tool. 3️⃣ Ask: “How would you do this?” or “What would you recommend?” Even if you don’t know the right technical questions, these open-ended prompts give your team room to offer the best path forward. 4️⃣ Don’t worry about what you don’t know. Your value is in your business vision, not your tech skills. Come with your business problem and where you want to go, your tech team can translate that into the solution. Use these tips and you’ll not only get better solutions from your technical teams, but you’ll also build trust and alignment across the board. What would you add?

You were just put in charge of the data team at a 2500-person company. And guess what? On day one, the business has already asked about AI and new dashboards. It might be tempting to simply tell your stakeholders "No" or maybe start techno-dumping on why you currently can't implement AI. But that wall of techno babble will simply make their eyes glaze over. You're confusing and not providing clarity. So if you're looking to better to communicate here are a few techniques I use to help get everyone on the same page. 1. Analogies ✅ Do this: Use familiar analogies tailored to their world(do they like to golf, garden, etc) . "AI without reliable data is like building without foundation and on top of sand." ❌ Not that: Don't rattle off system dependencies or mention Kafka, dbt, and data contracts in your first meeting. 2. Impact Framing ✅ Do this: Translate everything into outcomes. "Right now, we can't confidently say which campaigns are actually driving qualified leads, fixing this could help us avoid wasting 100k on a campaign like we did last month." ❌ Not that: "Our data warehouse isn't set up to handle multi-touch attribution at the moment."(ok but why do they care?) 3. Cost of Inaction ✅ Do this: Quantify the downside, "If we skip the groundwork, we risk burning $200K on a model that breaks in production." ❌ Not that: Don't assume vague warnings like "this isn't scalable" will motivate change. 4. Maturity Models ✅ Do this: Show where you are on a crawl-walk-run spectrum, "Right now, we're barely in the 'descriptive' phase; if you ask a question like "How many subscribers did we lose last month due because they had credit cards expire, we wouldn't be able to tell you." ❌ Not that: Don't just say "we're not ready" without context, it sounds like you're saying "We can't" instead of "Here's what comes first." 5. Real-Life Examples ✅ Do this: Share stories of companies that wasted time or money chasing AI too soon. ❌ I guess I don't really know what the opposite is here… Hopefully this was helpful, and let me know if you've used any of these or other techniques to help get on the same page with the business!