What a white paper is, and is not
A white paper is an authoritative report that argues a position on a problem and backs it with evidence. It is longer and more careful than a blog post, and, unlike a research paper, it is published by you and not judged by outside reviewers. That freedom is the risk: readers know that a company can print anything, so they read yours with some suspicion until it earns their trust.
It is also not a case study, which tells one customer’s story, and not a datasheet, which lists features. Many of the best technology white papers are really small research reports: a question, a method, results and limits, in plain English.
When it is worth commissioning
- Enterprise or regulated sales, where buyers ask for evidence before they talk to you.
- Introducing a technique or a category, where you need independent-looking proof that it works.
- Fundraising, where investors’ diligence will test any claim in your deck.
- Thought leadership and recruiting, where being cited by people who know the field is the goal.
It is not worth it when you have nothing measured, when the aim is to fill a content calendar, or when the conclusion has already been decided. In those cases the paper will read like what it is.
What makes one credible
- A stated question, in one sentence, near the top.
- A method section that says how the data was collected, from whom, and how it was analysed, in enough detail to repeat.
- Real evidence, not only customer quotes: measurements, a comparison, or a designed study.
- Honest limits, stated by you before a sceptic finds them.
- Named authors with checkable credentials, and sources you can click.
- Disclosure. Who paid for it, and any interest the company has in the answer.
- A date and a version, so readers know how current it is.
The opposite is easy to spot: unsupported superlatives, no method, and results that happen to favour the sponsor in every respect.
Choosing the evidence
The evidence should fit the claim you want to make.
- “Our approach is faster or more accurate.” A benchmark against fair alternatives, with the setup published so others can reproduce it.
- “People find it easier or better.” A user study: real participants, defined tasks and measures, and an analysis that fits the data.
- “The market wants this.” A survey, with the sample and the questions shown.
- “It works in practice.” A case study with measured outcomes, checked against your data and approved by the customer.
- “Here is the state of the field.” A structured literature review.
If participants are involved, ethics review comes before data collection, and their data is handled under the rules that apply to them: the GDPR for people in Europe, and Sri Lanka’s Personal Data Protection Act for participants there.
How the process runs
- Scope. The audience, the one claim you want to make and the evidence that could support it. Be ready to hear that the evidence cannot support it.
- Method and approvals. The design, the measures, and ethics review where people are involved.
- Data. The study or benchmark is run and the data analysed.
- Draft. The paper is written from the results, not the results from the paper.
- Review. Technical, legal and communications review, in that order, with sign-off on any use of your company’s or customers’ names.
- Publish and distribute. A PDF, a landing page that states the method, and a short summary people can share.
A white paper takes weeks to a few months. A designed user study takes longer, because recruiting and scheduling participants is slow. Be wary of a fixed date quoted before the method is agreed.
White paper or peer-reviewed paper?
A white paper is yours to publish on your timetable. A peer-reviewed paper carries the independence of reviewers who owe you nothing, and is worth more to a sceptical buyer or investor, but it takes many months, it is decided by reviewers, and there is no guarantee it will be accepted. Open-access charges and conference fees are paid by the authors.
Often the sensible route is both: publish the white paper once the study is done, and write the same study up for a reputable venue. Check the venue’s policy first, because some do not accept work that has already appeared elsewhere in full.
Pitfalls to avoid
- A study designed to reach a conclusion. It is marketing, and reviewers and customers can tell.
- Burying a negative result. It will surface, and it will cost more credibility than reporting it.
- Publishing before filing. If you plan to patent something, take advice before you publish the detail.
- Naming customers without written consent, or quoting participants in a way that identifies them.
- Claims nobody checked. Marketing and advertising rules in many countries expect comparative claims to be substantiated.
- Ghost-written bylines. If the real author is not named, a reader cannot judge the work.
Choosing a research partner
Before you sign, ask any partner these questions, and notice how they answer.
- Can I see a method section from something you have done?
- Who exactly will do the work, and will they be named as an author?
- Who owns the data and the findings, and can we sign an NDA first?
- What happens if the result is unflattering?
- What will you not do?
Walk away from anyone who guarantees a result, a conclusion or acceptance by a journal.
That is how Publish With Me works for businesses. After a short scoping call you get a written quote, paid in milestones by card or bank transfer. You own your data, nothing is published without your approval, and I co-author only where I genuinely contribute. I will not promise acceptance, because peer review decides, and I will not shape a result to fit a brief. Request a quote when you are ready.