Writing Informative White Papers

I used to write research reports like they were term papers. - Background first - Methodology next - Pages of lovingly detailed findings - Finally…on page 17…the conclusion You know what happened? Stakeholders skimmed. Misinterpreted. Ignored. One actually said to me: “Can you just tell me the takeaway? I didn’t have time to read it all.” I wanted to flip my desk. Then I tried structuring reports with the Pyramid Principle: answer first, then arguments, then evidence. That tiny shift changed everything: - My insights stopped collecting dust - Decisions actually got made in the room - Stakeholders repeated my language in exec meetings So instead of “We ran usability tests to understand why users weren’t completing checkout. Our analysis revealed trust issues with the payment process.” I now write “Users abandon checkout because they don’t trust the payment process.” Boom. Insight upfront. Then I unpack the three reasons and the data. That’s how you get heard in a room where everyone’s multitasking. If you’re tired of writing reports no one reads, I break down the full system (with step-by-step examples you can steal) in my Substack article: https://lnkd.in/ePpqRwHU

On writing papers with impact. I often hear people complain that academics don't write papers with real work impact. I tend to disagree bc I feel like we all study topics have an impact, but we simply don't know how to write them or frame them. While I am no expert, I came across a great editorial that offers insight how to design & write a study that communicates impact to broader audiences. Andrew Burton-Jones, Steven L. Johnson, & Ann Majchrzak editorial in MIS Quarterly on"Producing Significant Research" offers insight into how authors can enhance the impact of their research & better communicate its importance. So what do they advise? 1. When starting a project, authors should ask: * How does this paper address an unsolved challenge in practice? Example: If studying remote work, go beyond general benefits & identify specific challenges like "How do remote employees manage digital fatigue & maintain productivity?" * Does the paper consider multiple perspectives on this challenge? Example: If researching AI in hiring, consider perspectives from job seekers, employers, & regulators rather than focusing solely on HR professionals. * Does completing this project offer insight that benefits society? Example: If studying misinformation, clarify the broader societal impact: "Our research informs policymakers on how to design social media regulations that balance free speech with misinformation control." 2. When writing a paper, authors should make it: * Accessible: Use clear, straightforward language accessible to non-academic audiences. * Credible: Support claims with empirical evidence and examples of practical applications. * Arresting: Clearly articulate the real-world problem, limitations of existing knowledge, and how the study advances understanding. They also suggest avoid: * Overuse of technical jargon that reduces accessibility. * Vague generalizations in the discussion and implications sections. * Failing to specify which stakeholders will benefit from the findings. 3. Never forget practice. * Consider practitioner perspectives early in the research process. Example: Consult working professionals instead of relying solely on academic literature. * Engage with real-world problems rather than purely theoretical gaps. Example: Investigate "how flawed data models led to incorrect credit scores, impacting millions of consumers." * Frame research for multiple audiences (academics, industry, policymakers). Example: Tailor takeaways separately for stakeholders. * Seek feedback from non-academic peers on clarity and impact before submission. Example: Ask a non-expert colleague to summarize the key takeaways. If they struggle, simplify and clarify your message. Andrew, Steven and Ann argue that authors who proactively embed impact into their studies will be better positioned to contribute meaningful, high-quality research. I think they are right. Give it a crack! Editorial here: https://lnkd.in/ePyeFk_k

Thought leadership content is a powerful way for professional services firms to showcase expertise, build trust, and position themselves as industry authorities. By providing valuable insights and addressing client concerns, you can create content that truly resonates. Here’s how: 1️⃣ Address Key Client Questions Focus on the issues that matter most to your audience. What challenges do they face? What questions do they frequently ask? Examples: “How Does the No-Fault Divorce Law Affect Me?” “Preparing for an Employment Tribunal: Essential Steps.” “What Every Small Business Owner Should Know About Tax Planning.” Tip: Use tools like Google Trends or FAQs from client interactions to identify relevant topics. 2️⃣ Provide Unique Insights Go beyond surface-level information by offering actionable advice and perspectives based on your expertise. Include anonymised case studies or client examples to demonstrate real-world applications. Explain the implications of legal changes and how clients should respond. Example: Instead of just summarising a new regulation, outline practical steps clients can take to adapt. 3️⃣ Diversify Your Formats Using different content formats helps reach a broader audience and keeps your messaging fresh. Examples: Blog posts: Dive into specific legal topics. Webinars: Host discussions on trending issues. Infographics: Visual guides for complex processes. Whitepapers: Comprehensive resources for in-depth exploration. Tip: Test different formats to see what engages your audience most effectively. 4️⃣ Prioritise Clarity and Accessibility Professional content doesn’t have to be complicated. Keep it simple and client-focused. Use clear language and avoid jargon. Clients value understanding over technical terms. Organise content with subheadings, bullet points, and visuals to make it easy to navigate. Tip: Write as if explaining to someone unfamiliar with the topic. 5️⃣ Promote Strategically Great content is only effective if it reaches your audience. Distribute it across key channels to maximise visibility. Share posts on LinkedIn, newsletters, and your website. Encourage your team to amplify the reach by sharing on their profiles. Repurpose content into smaller pieces for social media, like turning a blog into multiple LinkedIn posts. Example: Use a blog on workplace rights to create short LinkedIn tips for employees. 6️⃣ Track and Optimise Results Monitor how your content performs and use the data to refine your strategy. Metrics to Track: Page views, time on site, shares, and conversions. Tip: Identify successful topics and formats, then double down on what works best. Thought leadership isn’t just about sharing knowledge—it’s about providing value and clarity to your audience. By focusing on your clients’ needs and delivering actionable content, your firm can strengthen trust, establish authority, and inspire confidence. 💬 What topics do you think would resonate most with your clients?

Have you thought about the narrative your paper or whitepaper creates?💭 For life science companies, especially biotech and pharma, it can be 𝗲𝘅𝘁𝗿𝗲𝗺𝗲𝗹𝘆 𝘃𝗮𝗹𝘂𝗮𝗯𝗹𝗲 to publish a paper with a 𝘀𝘁𝗿𝗼𝗻𝗴 𝗻𝗮𝗿𝗿𝗮𝘁𝗶𝘃𝗲 instead of just data. Why? There are several reasons for this. The strongest one is that 𝘆𝗼𝘂𝗿 𝗻𝗮𝗿𝗿𝗮𝘁𝗶𝘃𝗲 𝘀𝗵𝗼𝘂𝗹𝗱 𝗳𝗶𝘁 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂 𝘀𝗲𝗹𝗹 𝗮𝗻𝗱 𝘁𝗵𝗲 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗼𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝘆𝗼𝘂 𝗼𝗳𝗳𝗲𝗿. But this does NOT mean manipulating the data.🚫 I mean making the reason behind 𝘄𝗵𝘆 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗼𝗿 𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗶𝘀 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝘁 stand out through the paper, or make readers reach that conclusion. Your clients, other scientists, and people interested in your brand are likely to read your paper or white paper. They can be technical, yes, but 𝗽𝘂𝘁 𝘆𝗼𝘂𝗿𝘀𝗲𝗹𝗳 𝗶𝗻 𝘁𝗵𝗲𝗶𝗿 𝘀𝗵𝗼𝗲𝘀. Are they understanding what you do? This happened to me reading papers from companies working on phi29 polymerase mutants. Some of them were extremely obscure and did not really make me understand why their new enzyme was better than the wild-type, 𝗼𝗿 𝗼𝗳𝗳𝗲𝗿𝗲𝗱 𝘄𝗲𝗮𝗸 𝗮𝗿𝗴𝘂𝗺𝗲𝗻𝘁𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗰𝗹𝗲𝗮𝗿 𝗯𝗲𝗻𝗲𝗳𝗶𝘁𝘀. So instead of just showing data in the traditional peer-reviewed way, it can be helpful to structure it in a way that helps clients, investors, and other experts understand the narrative and the “why” behind your company, your product, and your service. This is why I usually say you need to have a strategy for the narrative of your paper or white paper. And this is not that hard to do! You just need to 𝗵𝗮𝘃𝗲 𝗶𝘁 𝗶𝗻 𝗺𝗶𝗻𝗱 𝗯𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂 𝘀𝘁𝗮𝗿𝘁 𝘄𝗿𝗶𝘁𝗶𝗻𝗴. 🧠When you write a paper, do you keep in mind the narrative you want to create with it? 🕵️♂️Do you think about what a possible prospect might get from reading it?   🤑Have you considered that someone who reads it might become a client, and you should make it easy for them to understand? ---- 👋 Hi, I'm Darío Sánchez Martín, PhD. I'm a scientific writer with a PhD in biotech offering services in technical and scientific writing for life science companies to create authority, positioning, demonstrate expertise, and land clients. I co-founded Helixa Communications with Nuria Martín Wentzien, PhD to do just that! For more news on science 🔬 , biotech 🧬, pharma 💊, content📃, and more, follow and check out my newsletter!

I remember the first time I tried reading a Web3 white paper. It felt like someone dumped a math textbook, a legal contract, and a Wikipedia article into a blender. I had to Google every third word. Halfway through, I gave up. And I wasn’t some random newbie—I was a full-time copywriter with a decent grip on tech. That’s when it realized: It’s not that Web3 is too complicated. It’s that no one’s explaining it properly. (Some) White papers weren’t doing their job. They weren’t helping people understand. They were gatekeeping. So I started rewriting them in plain English—just for myself at first. Then for clients. Now it’s a full-time thing. And I can tell you this with confidence: If you can explain complex things simply, you’re not just a writer—you’re a translator. And Web3 desperately needs more of those. How to actually write a white paper: 1/ Start With the Why Most white papers open with tech jargon. That’s a mistake. Begin with why this project exists. > What problem does it solve? > Who’s it for? > Why now? If the reader doesn’t care in the first 200 words, they’re gone. 2/ Use Real-World Examples Don’t just say: “Our protocol enables cross-chain liquidity optimization.” Say: > “Users can swap tokens between networks like Ethereum and Solana—without needing 4 tabs open and 3 failed transactions.” Use analogies. Tell stories. Pretend you’re explaining it to a smart friend who just doesn’t know crypto yet. 3/ One Idea Per Section Break your white paper into clear, digestible chunks: ✅ Problem ✅ Solution ✅ How it works (high-level first) ✅ Use cases ✅ Tokenomics ✅ Roadmap ✅ Team ✅ How to get involved Don’t try to explain Layer-2 architecture and staking mechanics in one paragraph. That’s how you lose people. 4/ Format like a blog, not a textbook Use: - Bullet points - Headers - Bold lines - Short paragraphs - Clean layout This isn’t a PhD thesis. If it’s hard to skim, it won’t get read. 5/ Translate, don’t dumb down You’re not “dumbing it down.” You’re making "complex" clear. > “Validators are rewarded for securing the network” is 100x better than: > “Delegated Proof of Stake ensures Byzantine Fault Tolerance across a decentralized validator set.” The real goal of a white paper is to make investors, users, and partners say: “Oh—I get it. That’s smart.” Then they’re in. White Paper writers are in demand. Right now, projects are looking for writers who can bridge the gap between Web3 tech and real-world users. If you can do that? You’re not just a writer. You’re a growth engine. And they’ll pay you like one. Want to get good at white papers? Start reading the bad ones. Then rewrite them in your own words. That’s how you learn to explain the complex—simply. Not with a degree. Not with a course. Just with practice and a bit of taste. If this helped, share it. There are many brilliant writers out there who just don’t know Web3 needs them yet.

Most people confuse white papers with research papers, and that is why so many white papers fail. Mostly, they read either like reports, or they summarize what you can get in one Google search. They miss the real job. So if you want a white paper that actually works, follow these non-negotiable rules. Rule 1: Limit the scope brutally 1 core problem 1 market or behavior shift 1 dominant insight Rule 2: Use data as proof, not content 70 to 80 percent interpretation 20 to 30 percent data Rule 3: Anchor insight in real numbers for authority, for example customer acquisition costs rose xx percent in xx months time to decision dropped from xx days to xx days only x out of 100 buyers noticed these feature differences Rule 4: Build sections like an argument the belief most people hold the data that makes it unstable the hidden driver nobody is pricing in the consequence if nothing changes the strategic shift required Rule 5: Kill anything searchable Before publishing, ask one hard question. “Can this paragraph be written using the first page of Google results?” If yes, delete it. White papers are not for giving out information but for repositioning thinking with insight. And that is the difference most people miss.