Structuring A Technical Manual Effectively

Users don't suck, but the information provided to them can. If your IFU reads like a legal contract, people won’t read it. Why? Because they’re confusing. Too wordy. Too complex. Too scattered. A great IFU should feel like having a clear-headed expert guiding you step by step. The user needs to know what to do, how to do it, and when to do it. Here's 20 recommendations/writing rules to improve your IFU↴ 1. Write procedures in short, identifiable steps, and in the correct order. 2. Before listing steps, tell the reader how many steps are in the procedure. 3. Limit each step to no more than three logically connected actions. 4. Make instructions for each action clear and definite. 5. Tell the user what to expect from an action. 6. Discuss common use errors and provide information to prevent and correct them. 7. Each step should fit on one page. 8. Avoid referring the user to another place in the manual (no cross-referencing). 9. Use as few words as possible to present an idea or describe an action. 10. Use no more than one clause in a sentence. 11. Write in a natural, conversational way. Avoid overly formal language. 12. Express ideas of similar content in similar form. 13. Users should be able to read instructions aloud easily. Avoid unnecessary parentheses. 14. Use the same term consistently for devices and their parts. 15. Use specific terms instead of vague descriptions. 16. Use active verbs rather than passive voice. 17. Use action verbs instead of nouns formed from verbs. 18. Avoid abbreviations or acronyms unless necessary. Define them when first used and stay consistent. 19. Use lay language instead of technical jargon, especially for medical devices intended for laypersons. 20. Define technical terms the first time they appear and keep definitions simple. Prioritize the user while ensuring MDR/IVDR compliance.

The difference between a good design doc and a great one is usually clarity. Technical writing should be crisp and to the point. So, it is always better to treat every sentence like it has a cost. After writing, cut aggressively. Remove extra words. Then check if a line can go. Sometimes even a full paragraph is unnecessary. One thing I always do is to start the doc with the conclusion; this way, the reader/reviewer knows where we are heading. This is contrary to how most engineers write docs - listing every approach first and only concluding at the end. That slows readers down. I avoid this because long explanations make people lose track; most readers want the conclusion quickly. So, always start with the answer and why it matters. Then add details and alternatives below for those who want depth. A habit that helps is a quick editing pass like this: - Remove filler words and repeated ideas. - Break long sentences into smaller ones. - Prefer bullets when listing options or steps. - Check if the first section clearly states the outcome. - Add a link or short explanation where a reader may pause. Empathy matters more than most people realize. Try to read your document as someone new to the topic. Ask yourself what might confuse them. Add the missing context. Add the helpful link. Let the ideas evolve naturally from problem to solution. This skill develops over time. Use simple language and fewer buzzwords. The goal is to communicate, not impress. Simple documents get read more. More readers means better alignment and better visibility for the work. Finally, always provide enough context. A short setup about the problem, constraints, and prior decisions goes a long way. It helps readers understand why the decision exists, and, of course, it prevents unnecessary back and forth later. Hope this helps.

My take: Good docs for humans are good docs for LLMs. We’ve worked with top technical companies like Sentry , Docker, Inc, and OpenAI to adopt LLMs trained on their documentation. And overwhelmingly, I see that what works well for humans, works well for LLMs. Let me prove it to you. Here’s our official guidance for optimizing technical docs for optimal LLM consumption: - Embrace page structure and hierarchy - Segment documentation by sub-products - Include troubleshooting FAQs - Provide self-contained example code snippets (include imports) - Write text descriptions for images - Define specific acronyms and terms We’ve done this for 100+ teams, and it works. But I read that, and all I can think is “Those are also best practices for writing technical docs, period.” Humans want FAQs. They don’t want to guess what an acronym means. And they want well-defined and structured docs. So…if you’re trying to optimize your docs for an LLM, try to optimize for a human. If you follow the best practices, you’ll create docs that both will love to read.

Stop hiding your highest-intent pages in the “Help” tab. → Your docs are a growth channel. Start treating them like one. For years I’ve pitched this to new clients. Most smiled, nodded, and parked it. Some thought I was mad. Meanwhile their teams kept buying blog posts while their best conversion assets sat in a subdomain. Here is how I fold technical docs into a real content strategy: Start with real questions: Support tickets. Sales objections. Internal search logs. Build topic clusters from what users actually ask, not what marketing hopes they ask. Make the docs the canonical source One source of truth. Blog posts, release notes, landing pages, and sales decks point back to the same page. No duplication. No contradictions. Design doc pages like landing pages Clear intros. Job-to-be-done headlines. Quickstarts that succeed in minutes. Obvious next steps. Relevant CTAs to trial, demo, or deeper guides. Instrument everything Track terms searched, paths taken, completions, and time to first success. If a page does not reduce tickets or speed activation, fix it. Build a pluggable system Modular IA. Reusable patterns. Sidebars generated from structured data so content scales without breaking. This is how you avoid “same answer, different page.” Write for humans and for AI retrieval Consistent headings. Defined terms. Tight summaries. Clean semantics. If your docs are structured well, chatbots and agents can route users to correct answers. Humans win first. AI finds it second. Run an editorial cadence with product I embed early. I sit in GitHub issues and roadmap debates. Docs ship with features, not after them. That is how you prevent fires instead of documenting them. Why this matters: •⁠ ⁠Fewer repeated tickets •⁠ ⁠Faster onboarding and adoption •⁠ ⁠Content that compounds because it is connected, measurable, and maintained If you are still treating documentation as a separate afterthought, you are paying twice: once for content that does not convert, and again for support that should not be necessary. I’m drafting a public outline that teams can adapt. If you want a copy when it is ready, say so and I’ll send it.

To structure team documentation I recommend to use the Diataxis framework. This framework splits the documentation along 2 axis - Which purpose it serves (study or work) - How applicable it is (practical vs theoretical) Results in 4 disctinct sections. The Getting started section contains tutorials, and is the entry point for new team members, or for learning a new skill. The How to guides offer step by step instructions to achieve specific goals, ideal for following during your day to day work to achieve your goals. The Reference manual offers detailed information about specific technologies, tools and libraries used by your team. The Explanation sections provides background, history and context on your software landscape and the delivery practices and techniques you use.

Writing Effective Technical Documents (Part 3): The Four Layers of a Good Technical Document I think about a technical document in four layers. Each layer has a purpose and together they tell the full story. 1. Decision or Executive Summary: Start with the decision or key takeaway. Busy readers should be able to stop here and understand the direction. 2. Context: Give the business and technical background. Business context covers the problem, goals, and success criteria. Technical context covers the current state, key constraints, and assumptions. 3. Implementation Details: Explain the alternatives considered, tradeoffs, and reasoning. Include diagrams or examples if they help. 4. Open Questions and Concerns: List what is still unresolved. Invite input. This makes the document a place for collaboration, not just information. A good document lets readers go as deep as they need without getting lost.

What Does Technical Documentation Look Like? When you open a proper technical document, it usually follows a clear structure. Not everything is always included, but these are the common parts you will find in a well-written one. 🌹System Overview and Architecture This section explains the big picture. It shows how the system is built and how different parts connect. For example, a diagram that shows the frontend, backend, database, and third-party services, and how data moves between them. It helps anyone new understand how the whole system works at a glance. 🌹Understanding the Needs Here, the document explains why the system exists. What problem is it solving? Who is it for? What are the main goals? This part keeps everyone aligned so developers, designers, and stakeholders are building the right thing. 🌹Database Schema This section explains how data is stored. It shows tables, fields, relationships, and data types. For example, how users, orders, or payments are connected. This helps developers avoid confusion and prevents data mistakes. 🌹Data Flow and Handling This explains how data enters the system, how it is processed, and where it ends up. It answers questions like where user input goes, how it is validated, and how results are returned. 🌹API Specifications This section documents how systems communicate with each other. It lists API endpoints, request methods, required parameters, responses, and error messages. It helps frontend developers, mobile apps, or external services know exactly how to connect. 🌹Integration Requirements Here, the document explains external tools or services the system depends on. For example, payment gateways, email services, or analytics tools. It includes what is needed to connect them and any special setup steps. 🌹Data Synchronization This explains how data stays consistent across systems. For example, how updates in one system reflect in another and how conflicts are handled if something goes wrong. 🌹Security and Compliance This section explains how user data is protected. It covers authentication, authorization, data encryption, access control, and any legal or regulatory requirements like privacy rules. 🌹Performance Requirements Here, the document defines expectations. How fast should pages load? How many users should the system handle at once? What is considered acceptable downtime? 🌹Monitoring and Logging This explains how the system is observed after deployment. It includes logs, alerts, and monitoring tools used to detect errors, track performance, and understand user behavior. 🌹Testing Requirements This section explains how the system should be tested. It may include unit tests, integration tests, and user acceptance tests. It ensures the system works as expected before and after changes. Let's continue in the comment section.

Want to make your technical #documentation more effective? Keep it skimmable! I've found that using short, simple sentences and compact paragraphs makes documentation infinitely more useful for readers. When developers need answers, they scan documentation quickly, looking for specific information. By breaking content into clear sections with descriptive headings, you create natural "jumping-off points" that help readers navigate directly to what they need. Think of good headings as signposts guiding your readers through the content. Simple language and concise paragraphs reduce cognitive load, making your docs easier to understand, especially for non-native English speakers (which is an added accessibility win). Remember: technical documentation isn't creative writing. Its purpose is to convey complex information clearly and efficiently. #TechnicalWriting #Documentation #DeveloperExperience #TechComm #WritingTips #technicalwriter #InformationDevelopment #InformationDeveloper

Dear #technicalwriters After working closely with #developers for two years, I've observed that they don't have the time to read lengthy documentation. They just want to scan through the doc to find the parts that answer their questions. As such, when writing for developers, it's crucial to: ✅ Explain each step comprehensively but without unnecessary details. ✅ Maintain a direct and to-the-point approach without incorporating storytelling. ✅ Explains steps in a hierarchical order, building upon the previous one in procedural documentation. ✅ Provide flexible code samples that can be easily copied for practical use. ✅ Use language that resonates best with the users' technical understanding. ✅ Make sure you understand the developers need. This will help you to streamline the process of software documentation. Following these guidelines can make software documentation less daunting and more effective. What more should be added? Happy new week #linkedinfam

Ever hit a wall of text and immediately tune out? That’s what happens when writing lacks structure. Good documentation isn’t just about what you say— it’s about how you present it. Here’s what makes content instantly clearer: ✅ Chunking – Break information into small, logical sections. One idea per chunk. ✅ Lists – Highlight key details instantly. Ordered for steps, unordered for related ideas. ✅ Headings – Act as street signs. Keep them short, clear, and easy to scan. When all three work together, the reader doesn’t have to think—they just find what they need. Before you publish, ask yourself: Can someone scan this and get the key points in seconds? If not, it’s time to restructure. Follow Andrew Eroh for Technical Writing Insights   #TechnicalWriting #TechComm #Documentation #UserExperience #ClearCommunication #WritingTips #TaskBasedWriting #ProcessImprovement #WritingProcess #EngineeringDocs