Technical Specification Documentation

𝗜 𝘄𝗮𝘀𝘁𝗲𝗱 𝟰𝟬 𝗵𝗼𝘂𝗿𝘀 𝗮𝗻𝘀𝘄𝗲𝗿𝗶𝗻𝗴 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝘀𝗵𝗼𝘂𝗹𝗱'𝘃𝗲 𝗯𝗲𝗲𝗻 𝗶𝗻 𝗺𝘆 𝘁𝗲𝗰𝗵 𝗽𝗮𝗰𝗸. After working with manufacturers across 4 continents, I've learned that the best tech packs prevent questions before they're asked. Here's what I include that most designers skip: Page 1: The "Why" Not just what we're making-why we're making it this way. → Use case: "Bow hunting at altitude, October conditions" → Critical performance requirements: "Must allow 30" draw without restriction" → Non-negotiables: "YKK #5 zippers only, no substitutions" This sets context before specs. Page 2-16: Construction Details Where most tech packs live. But I add: → Photos of every seam type, not just callouts → "Common mistakes" section for each critical seam → Cross-sections showing layer build-up → Stitch count ranges with reasons why Page 17: The Materials Bible → Fabric swatches physically attached → Directional notes (which way stretch goes) → Acceptable substitutions ranked 1-2-3 → Unacceptable substitutions with reasons why Page 18-20: Quality Control Triggers This is the page that saves you. → Measurement tolerance: ±1/4" on critical areas, ±1/2" elsewhere → What warrants a re-cut vs. what's acceptable → Accurate Points of Measure → Field testing checkpoints before bulk production Here's what changed everything: I started including a "Failure Points" page. → "This seam will fail if not reinforced" → "This zipper will jam if not properly aligned" → "This pocket will sag if not bar-tacked here" The result? Samples came back right the first time, 70% more often. Manufacturing questions dropped by half. Pre-production issues caught early. The principle: A tech pack isn't just specifications. It's you, having a conversation with someone 8,000 miles away who's never met you. 𝘔𝘢𝘬𝘦 𝘪𝘵 𝘤𝘭𝘦𝘢𝘳. 𝘔𝘢𝘬𝘦 𝘪𝘵 𝘤𝘰𝘮𝘱𝘭𝘦𝘵𝘦. 𝘔𝘢𝘬𝘦 𝘪𝘵 𝘪𝘮𝘱𝘰𝘴𝘴𝘪𝘣𝘭𝘦 𝘵𝘰 𝘮𝘪𝘴𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵. I've learned my lessons from my own mistakes so you don't have to! 𝙒𝙝𝙖𝙩'𝙨 𝙩𝙝𝙚 𝙢𝙤𝙨𝙩 𝙘𝙤𝙢𝙢𝙤𝙣 𝙦𝙪𝙚𝙨𝙩𝙞𝙤𝙣 𝙮𝙤𝙪 𝙜𝙚𝙩 𝙛𝙧𝙤𝙢 𝙢𝙖𝙣𝙪𝙛𝙖𝙘𝙩𝙪𝙧𝙚𝙧𝙨 𝙩𝙝𝙖𝙩 𝙨𝙝𝙤𝙪𝙡𝙙 𝙗𝙚 𝙞𝙣 𝙮𝙤𝙪𝙧 𝙩𝙚𝙘𝙝 𝙥𝙖𝙘𝙠?

If you want your workload to ship cleanly (and survive incidents), you need more than “a diagram and good intentions.” You need a Workload Architecture Design Specification: a clear, unambiguous plan-of-record that ties every major design choice back to business goals, and then translates that into buildable engineering work. Here’s the practical structure I’ve seen work best (aligned to Azure Well-Architected Framework guidance + tradeoffs): 1) Start with business clarity (or you’re building on sand) -What outcomes are we driving? -What constraints are non-negotiable (cost, timeline, compliance, risk)? -What does “success” look like in measurable terms? 2) The technical spec (the “how”) Include the stuff teams always wish existed after the fire drill: -Technology decisions: buy / build / reuse / extend / decommission (and why) -API + data contracts: schemas + backwards compatibility strategy -Rollout + rollback: how we deploy, and how we undo safely -SDL + privacy: what’s required and where it’s enforced -Test plan: what gets tested, when, and by whom -Monitoring + alerts: the signals that matter (and what “bad” looks like) -Alternatives considered: what you didn’t choose (and why) 3) DR isn’t a checkbox—put it in the spec If reliability matters, your spec should explicitly state: -Target RTO/RPO -What fails over, how it fails over, and what changes for users/data flows -Operational steps and recommendations (who does what, when) 4) Security + compliance artifacts -Call out built-in security affordances in the design -Identify compensating controls when a requirement can’t be met directly 5) Consistency beats heroics Use a standard template with metadata so stakeholders can actually operate it: -State: Draft / In review / Approved -Work item link: primary backlog item -Cross-links: dependencies + related docs -Key individuals: decision makers + sign-off roles My litmus test: Could someone new to the project implement this without a 2-hour meeting? If not, the spec isn’t done. What’s the one section your team always skips… and later pays for? #Azure #AzureWellArchitected #CloudArchitecture #SolutionArchitecture #DevOps #ReliabilityEngineering #DisasterRecovery #Security #Compliance #MicrosoftAzure #ArchitectureDecisionRecords

How long?! Yep, I know I don't look it, however as a founder in software development with 20 years under my belt, I've seen countless projects succeed and, sadly, some go south. One common thread in the successes, without a shadow of a doubt, is a meticulously crafted Software Requirements Specification (SRS). It's not just another document; it’s the blueprint for software project success. Did you know that without a proper SRS, your software project has a 70% higher chance of failure? That's a staggering figure, and it highlights just how crucial this document is. An SRS bridges the gap between business needs and technical implementation. It defines exactly what your software should do, how it should perform, and any constraints it must work within. It ensures everyone – from stakeholders defining business needs to developers writing code – is on the same page. Here at Full Metal, we know that an SRS provides crystal clear understanding, leads to realistic timelines and budgets, and drastically reduces costly rework. It’s about getting it right from the start, avoiding those moments where things have gone a bit pear-shaped. We make sure our SRS documents cover everything from the introduction and scope, to overall descriptions, functional requirements, and non-functional requirements like performance and security. We also include visuals and diagrams to ensure clarity. Of course, there are common pitfalls to avoid. Vague language, missing requirements, and feature bloat (or "gold plating" as some call it) can throw a spanner in the works. Precise language and clear definitions are key. And we've produced a lovely infographic to showcase these concepts. Read on. What’s your experience? Has an SRS saved one of your projects from disaster, or have you learned the hard way without one? #SoftwareBlueprint #SRSSuccess #TechLeadership

The Medical Device Iceberg: What’s hidden beneath your product is what matters most. Your technical documentation isn’t "surface work". It’s the foundation that the Notified Body look at first. Let’s break it down ⬇ 1/ What is TD really about? Your Technical Documentation is your device’s identity card. It proves conformity with MDR 2017/745. It’s not a binder of loose files. It’s a structured, coherent, evolving system. Annexes II & III of the MDR guide your structure. Use them. But make it your own. 2/ The 7 essential pillars of TD: → Device description & specification → Information to be supplied by the manufacturer → Design & manufacturing information → GSPR (General Safety & Performance Requirements) → Benefit-risk analysis & risk management → Product verification & validation (including clinical evaluation) → Post-market surveillance Each one matters. Each one connects to the rest. Your TD is not linear. It’s a living ecosystem. Change one thing → It impacts everything. That’s why consistency and traceability are key. 3/ Tips for compiling TD: → Use one “intended purpose” across all documents → Apply the 3Cs: ↳ Clarity (write for reviewers) ↳ Consistency (same terms, same logic) ↳ Connectivity (cross-reference clearly) → Manage it like a project: ↳ Involve all teams ↳ Follow MDR structure ↳ Trace everything → Use “one-sheet conclusions” ↳ Especially in risk, clinical, V&V docs ↳ Simple, precise summaries → Avoid infinite feedback loops: ↳ One doc, one checklist, one deadline ↳ Define “final” clearly 4/ Best practices to apply: → Add a summary doc for reviewers → Update documentation regularly → Create a V&V matrix → Maintain URS → FRS traceability → Hyperlink related docs → Provide objective evidence → Use searchable digital formats → Map design & mfg with flowcharts Clear TD = faster reviews = safer time to market. Save this for your next compilation session. You don't want to start from scratch? Use our templates to get started: → GSPR, which gives you a predefined list of standards, documents and methods. ( https://lnkd.in/eE2i43v7 ) → Technical Documentation, which gives you a solid structure and concrete examples for your writing. ( https://lnkd.in/eNcS4aMG )

Is Your Technical File Ready for Submission? When I first started working with MedTech founders, I noticed a common pattern: many treated the Technical File or Design Dossier as paperwork to complete before submission. The reality is that it can be much more than that. I worked with a medical device startup that rushed their Technical File, thinking it was simply a regulatory requirement. During their first audit, missing risk analysis and incomplete design verification caused delays and made investors question the readiness of the product. We took a step back, revisited the file, and organized it with purpose. Each section, from device description to labeling, risk management, and clinical evidence, clearly told the story of the product. - Verification and validation results were tied back to risk controls - Design decisions were explained with context - Traceability was clear and easy to follow As a result, the auditors understood the product quickly, and investors could see evidence of strong compliance and quality practices. A well-prepared Technical File shows that you understand your design, your risks, and your controls. It communicates that rigor to regulators, auditors, and investors. When you review yours, ask yourself: Is it simply paperwork, or is it showing the story of your product? How are you using your Technical File as a strategic asset? Below is a checklist that every Technical File should cover to tell the story of your product: #MedTech #FDACompliance #SaMD #HealthTechLeadership #Elexes #technicalfile

“Should OpenAPI be treated as supplementary documentation, evolve alongside requirements, or serve as the primary source of truth?” That was the sharp question one of my API PM students asked yesterday. So what’s the answer? API Descriptions—including OpenAPI Initiative, AsyncAPI Initiative, GraphQL Foundation schemas, and Protobufs—can sit at the center of every stage of the API lifecycle. Here’s how: 1. IDEATION & PROTOTYPING Use your API Description Document as a design artifact for Mock APIs. Share these prototypes with customers for discovery and validation. 2. DESIGN & DEVELOPMENT Treat the API Description Document as a Contract—validated against organizational standards—to ensure the final delivery aligns with the initial market-validated design. Enforce this with contract testing in your CI/CD pipeline to keep the contract and implementation in sync. 3. SECURITY Take that same API Description Document (which exactly matches the implementation because you’re testing it!) and run it through specialized vulnerability scanners to ensure you meet security and privacy standards. 4. DOCUMENTATION Your API Description Document doubles as the blueprint for interactive documentation in your Developer Portal. Involve your tech writers directly in that doc, then use it to render and continuously test your published docs so they never diverge from what’s actually delivered. 5. RUNTIME CONFIGURATION Gateways, Monitoring, and Analytics tools can ingest the API Description Document for consistent configuration across environments. Many top-tier tools already support this workflow. 6. CLIENTS Providing a public API Description Document lets your consumers easily generate SDKs and scaffold clients. So, check your API Descriptions into version control alongside your code and use them throughout the lifecycle as a living contract. And spoiler alert—AI is already enhancing every stage of the API lifecycle. We’ll dig into that in a separate post. Are you using API Description Documents as contracts today? My students and I would love to hear your real-world scenarios—drop them in the comments!