Content Strategy for Technical Documentation

Tech writers don’t write. → Not in the way most people think. We don’t sit down with a blank page and “make it up.” We’re not wordsmiths polishing clever sentences. We’re not decorators. We’re architects. And in the age of AI, our role has quietly evolved into something far more powerful—and far more essential. Here’s what the new tech writer actually does: 1.⁠ ⁠We curate. We filter the noise. From dev notes, internal wikis, messy Notion pages, AI-generated drafts—we gather what matters and discard what doesn’t. 2.⁠ ⁠We verify. We don’t just copy and paste. We check, clarify, recheck. Because what’s written in the spec doc isn’t always what’s true in production. 3.⁠ ⁠We restructure. We’re not just editing for grammar. We’re rearchitecting information to match how real users actually read and retain it. Good docs don’t just inform. They guide. 4.⁠ ⁠We translate. We bridge the gap between engineering and end user. Between product complexity and business clarity. Between AI output and human understanding. 5.⁠ ⁠We strategize. We don’t “just write the docs.” We shape documentation ecosystems—mapping user journeys, designing content models, identifying gaps before they become support tickets. If you’re hiring a writer to “clean up” your AI-generated documentation, you’re looking for the wrong skillset. You don’t need a cleaner. You need an operator. One who understands: • How your product works • What your users need • What your GTM team is saying • What your AI tools are missing • And how to bring it all together—seamlessly Because in 2025, tech writers aren’t just writers. We’re content strategists with dev-level instincts. And the companies that understand this? They’re the ones whose products get adopted faster, retained longer, and supported less.

Bad documentation is a business killer. And by "bad," I mean incomplete. Missing pieces. And speaking only to the converted. There are two kinds of documentation. 1. The kind that makes it easy for someone to try your product. 2. The kind that helps people already convinced go deep into your product. We see a lot of companies get the second kind right. The technical stuff is nailed. "Here’s how to integrate it into your stack. Here’s the API doc. Here’s how to use advanced feature XYZ.” All good stuff. Necessary. It should be there, but if that’s all you got… you got a problem. Imagine being pumped to try a new tool. You go to the docs site to understand some of the use cases and SLAP you hit a wall of tech jargon. No use cases. No workflows. No clear examples of outcomes I can get with the tool. It’s like going to a restaurant and being handed the recipe book. "Oh, that's cool," you might think. "But can I just have the baked alaska please?" Docs have to cater to people who are already bought in, for sure. Docs should also give curious newbies a reason to try the product. Docs should woo and impress curious visitors. Show readers the “how,” sure. But more importantly, you gotta show the “why.” Use cases. Workflows. Real-world examples. These things belong in your marketing AND in your docs. A good docs site is part conversion tool, part customer enabler. It’s underappreciated and often overlooked. Build them right and docs can be one of the hardest working assets your business can has. Make your documentation help people fall in love with your product, or at the very least, make it dead simple for them to say, “I get it. Let’s try this.” Don’t sleep on your docs, y'all.

Many technical writers feel stuck as order-takers. "Can you document this?" "Update the docs." "Just write it up." Strategic partners get pulled into planning before work starts. Here's how to make that shift: 1. Show up in planning, not just execution → Ask to join quarterly planning, feature kickoffs, roadmap reviews 2. Ask strategic questions in planning meetings → "What's the user's goal?" "What's our success metric?" 3. Present documentation roadmap, not just status updates → Show what you're prioritizing, what debt you're addressing, what's at risk 4. Connect docs work to company OKRs or goals → Map your work to quarterly goals leadership cares about 5. Proactively identify documentation risks before projects launch → Flag gaps in kickoff meetings before they become problems You don't need a new title to be strategic. You need to consistently show up as someone who participates in planning, Asks strategic questions, manages proactively, and prevents problems. Do these 5 things and teams will start pulling you in earlier. That's when you're no longer an order-taker. Which way has helped you most? Drop the number in the comments. 👇 Save this for your next planning meeting. Reshare it if you're shifting from reactive to strategic. Want more career insights for writers: 1. Follow Joshua Gene Fechter 2. Like the post 3. Repost to your network

Pinterest revolutionised internal documentation by adopting Docs-as-Code strategy. 🚀 Docs-as-Code: a simple yet powerful approach to scale documentation alongside code. Let's understand the strategy in simple words and dive into the related tools. Pinterest engineering teams faced multiple challenges in managing technical documentation. Here were a few common ones:- 1️⃣ Outdated documentation. 2️⃣ Lack of doc centralisation resulting in knowledge fragmentation. 3️⃣ Learning curve to adopt a new documentation tool. 4️⃣ Absence of review process They solved the above challenge by:- 👉 Leveraging common Markdown format for docs in all the projects. 👉 Keeping the doc files besides the code files in every repository. 👉 Using CI/CD tooling for validating the docs. 👉 Building a centralized layer for rendering and discovering the docs. Doc centralization drew a boundary between the content and style. This allowed developers to focus only on the content than dealing with specific style nuances. The centralized tool was known as PDocs and here's how it worked:- 🎯 Each package had a yaml file that defined the doc structure. 🎯 After successful check-in, the tool scanned the yaml file in each repo. 🎯 It then rendered the recently updated documentation. 🎯 The docs were then indexed for improving the search experience. They also developed a Wiki to PDocs converter that increased the documentation by 20%. 🔥 Within two years, PDocs resulted in the following company-wide impact:- 🌐 Improved satisfaction in internal surveys. 🌐 Better experience than existing wiki-style tools. 🌐 140+ doc projects from 60+ GitHub repos written by 80+ teams. With the emergence of AI, the team has also developed features to chat with the docs in PDocs. Also, updates are pushed real-time to knowledge-store providers ensuring AI tools have the latest info. Similar to Infra-as-Code, I believe Docs-as-Code would be a game changer for software teams. One no longer needs to rely on subject matter expert or lead developer. 💡 With LLMs writing both code and the doc, it would surely accelerate the development velocity. If you have used a similar tool in the past, share your experience in the comments below. 👇 Also, do you think the product has a potential to become a SaaS offering, given that multiple companies face the same problem? 🤔 #tech #softwareengineering #softwaredevelopment

Technical writing used to be about writing. Now it's about architecture. The shift happened quietly. Your documentation needs to: Feed the support chatbot without breaking it. One writer wrote "refer to the previous section." The AI couldn't answer basic questions for a week. Pass accessibility audits without last-minute panic. Digital-first means screen-reader-first. Scale across products without recreating content. Modular or nothing. Survive the regulatory maze. Digital delivery that's actually compliant, not just convenient. The writers who thrive in this environment aren't necessarily the best prose stylists. They're the ones who think in systems. Content models. Metadata architecture. Structured authoring. Terminology governance. Sounds like data engineering because it partly is. The job title says "writer." The job description is increasingly "information architect." Is your team building for this shift, or still optimizing for the old model? #TechnicalWriting #Documentation #AI #DigitalTransformation