Editorial Process & Research Standards

Why this page exists

The internet has never made it easier to publish information. Every day, millions of articles, videos, reports and social media posts compete for attention. Artificial intelligence has accelerated that pace even further. High-quality ideas can now be shared more quickly than ever before, but so can assumptions, opinion presented as fact and content created simply to satisfy search engines.

We believe this creates a responsibility.

At Plan Grow Do, we don't publish content because we think every opinion deserves an audience. We publish because we believe useful, evidence-led commercial knowledge helps businesses make better decisions. Everything we create, whether it's an article, a research report, a workshop, a podcast, a book or an AI-powered tool, exists for the same reason: to help organisations better understand how buyers are changing, how commercial performance can improve and how technology can be adopted in practical, human-centred ways.

This page explains how we approach that responsibility. It isn't a legal policy or a marketing statement. It is a description of how we think, how we work and how we reach the conclusions that shape the advice we publish. We believe readers deserve to understand not only what we think, but why we think it.

Our philosophy

There is no shortage of commercial advice. There are thousands of books on selling, hundreds of podcasts discussing leadership, countless articles explaining artificial intelligence and an endless stream of opinions about what businesses should do next. The challenge today is rarely access to information. The challenge is knowing what deserves your attention.

Our philosophy is simple. The internet doesn't need more content. It needs better content. Content that is useful rather than simply visible. Content that helps people make decisions rather than merely attracting clicks. Content that is prepared to acknowledge uncertainty rather than pretending every answer is obvious. Content that is built on evidence, practical experience and continual learning.

That philosophy shapes everything we publish. It also shapes what we choose not to publish. We have no interest in producing content simply because a topic is trending or because an algorithm appears to reward it. Equally, we don't avoid difficult conversations because they challenge accepted thinking.

Sometimes the most valuable conclusion is that the evidence is incomplete. Sometimes it is that conventional wisdom deserves questioning. Sometimes it is that the best answer depends entirely on context. We're comfortable saying all three. Commercial performance is rarely improved by absolute answers. More often, it improves because organisations ask better questions, understand their customers more deeply and make thoughtful decisions based on the best evidence available. That is the standard we set ourselves.

What we believe

Everything we publish is guided by a small number of principles. They influence the way we research, write, review and update our work.

What we choose to write about

Our work is intentionally focused. We do not try to become a source of information on every business topic. Instead, we concentrate on the areas where our experience, research and commercial work allow us to make a meaningful contribution. Today, that primarily includes:

• Artificial intelligence and practical AI adoption
• Suspecting and prospecting
• Sales excellence and commercial leadership
• Buyer behaviour
• Customer experience
• Commercial strategy
• Sales capability development
• Knowledge management
• Digital transformation
• The future of B2B buying

Much of our work is undertaken within industrial sectors, particularly lubricants, manufacturing, industrial engineering, filtration and technical distribution. These sectors are not chosen because they are easy. They are chosen because they are changing.

Many industrial organisations are experiencing the same commercial pressures. Buyers are completing more research before speaking with suppliers. Technical expertise alone is no longer enough to differentiate a business. Digital channels influence purchasing decisions earlier than ever before. Artificial intelligence is changing expectations around responsiveness, relevance and customer experience.

These changes create opportunities for organisations willing to adapt. Our role is not to predict the future with certainty. It is to help businesses understand what is changing today, what evidence supports those changes and how they might respond in practical ways. That philosophy underpins every article, every research project and every conversation we publish.

Research methodology

Research sits at the heart of much of our work. Whether we are exploring buyer behaviour, commercial performance or the impact of artificial intelligence, our aim is the same: to understand what is actually happening, rather than simply repeating accepted opinion.

Our research is designed to answer practical commercial questions. How are buyers changing? What influences purchasing decisions? Where are organisations succeeding? Where are they struggling? What behaviours are emerging that businesses should understand today, rather than after they become common practice?

These questions rarely have simple answers. They require evidence, curiosity and an acceptance that different organisations often experience the same challenge in different ways. For that reason, we use a combination of research approaches depending on the subject. These may include structured surveys, interviews, workshops, commercial observations, implementation projects, industry discussions and analysis of existing published research. Where appropriate, we also compare our own findings against respected external studies to identify where conclusions align, where they differ and where further investigation may be needed.

Our original research programmes, including Buyer Revolution and AI Readiness Research, are intended to contribute to commercial understanding rather than provide definitive answers for every organisation.

No research is perfect. Every study has limitations. Participant numbers, industry sectors, geography, market conditions and the point in time at which research is undertaken all influence the conclusions that can reasonably be drawn. We believe acknowledging those limitations strengthens research rather than weakening it. Research should start conversations, challenge assumptions and encourage better decision making. It should not be used to create false certainty. Ultimately, we are less interested in producing headlines than helping organisations better understand the environment in which they operate.

Evidence hierarchy

Not all evidence carries equal weight. When researching or publishing a topic, we consciously consider both the quality and relevance of the information available. Where possible, we work through the following hierarchy.

Throughout our work we aim to distinguish clearly between what we know, what we have observed, what others have found and what we believe. Readers deserve to understand the difference.

How we reach conclusions

One of the questions we are asked most often is whether our conclusions begin with a hypothesis. The answer is yes, but never with a predetermined outcome. Every significant piece of work begins with a question rather than an answer. We ask what problem we are trying to understand and why it matters.

From there we gather evidence from multiple sources, looking not only for agreement but also for contradiction. Contradictory evidence is often the most valuable. It forces us to question assumptions, explore alternative explanations and avoid reaching conclusions too quickly. Once evidence has been gathered, we look for patterns rather than isolated examples. We ask ourselves:

• Are we seeing this consistently?
• Is this supported by multiple sources?
• Could there be another explanation?
• What assumptions are we making?
• What evidence might challenge this conclusion?

Only once those questions have been explored do we begin forming recommendations. Even then, we avoid presenting conclusions as universal rules. Commercial organisations differ in size, culture, markets, maturity and customer base. What works exceptionally well in one environment may require adaptation in another. For that reason, our recommendations are intended to inform judgement rather than replace it. Our role is to help organisations think more clearly, not to think on their behalf.

The role of artificial intelligence

Artificial intelligence has transformed the way knowledge can be gathered, organised and communicated. It is an important part of our own workflow. Used well, AI allows us to process information more efficiently, explore alternative perspectives, identify connections between ideas and improve the clarity of our writing.

However, AI is a tool. It is not an author. It is not a researcher. It is not accountable for what we publish. Within Plan Grow Do, AI may assist with activities such as:

• organising information
• summarising large volumes of content
• identifying recurring themes
• improving readability
• generating alternative structures
• proofreading
• challenging our own thinking
• exploring potential gaps in an argument

AI does not replace professional judgement. It does not replace original research. It does not replace commercial experience. Most importantly, it does not remove human responsibility. Where AI contributes to the development of published material, people remain accountable for every fact, interpretation and recommendation. Important statistics, quotations and factual claims are verified where appropriate. We do not knowingly publish AI-generated content without human review. Our ambition is not to automate expertise. It is to use technology to strengthen it.

Human accountability

Every piece of content published by Plan Grow Do has a human owner. Artificial intelligence can assist. Research can inform. Technology can accelerate. Responsibility, however, always rests with people. That principle underpins everything we publish.

Whoever authors or approves a piece of work accepts responsibility for its quality, accuracy and integrity. This includes ensuring that conclusions are supported by evidence, that sources have been represented fairly, that commercial context has been considered and that readers are not misled through exaggeration or omission.

Equally important is a willingness to acknowledge when knowledge evolves. If new evidence challenges an earlier conclusion, we believe it is our responsibility to review, update or correct that work openly. Changing our mind in light of better evidence is not a weakness. It is an essential part of maintaining credibility.

Ultimately, our reputation will not be built by how much content we publish. It will be built by the consistency, honesty and usefulness of what we choose to stand behind. That is the standard we expect of ourselves, and the standard we hope readers will come to expect from every piece of work carrying the Plan Grow Do name.

Commercial transparency

We believe readers should always understand the perspective from which we are writing. Plan Grow Do is a commercial business. We provide consultancy, leadership development, sales training, research, AI implementation and technology through our Always On platform. We write books, speak at conferences, develop commercial frameworks and work closely with organisations seeking to improve sales performance and customer experience.

That commercial activity informs much of what we publish. It also creates a responsibility. Where a page discusses one of our own products, services or research programmes, we aim to make that relationship clear. If we recommend a framework we have developed, refer to one of our books or explain the capabilities of Always On, readers should never be left wondering whether there is a commercial interest involved.

Transparency does not weaken credibility. We believe it strengthens it. At the same time, commercial relevance should never determine the conclusions we reach. We do not begin with the question, "How can this promote our services?" We begin with the question, "What would genuinely help someone understand this topic?" Sometimes the most helpful conclusion will naturally lead readers towards one of our services. Sometimes it will not. We are comfortable with both outcomes. Long-term trust is more valuable than short-term promotion.

For the same reason, we do not publish content designed to create unnecessary fear, exaggerate commercial challenges or present technology as a universal solution. Artificial intelligence will not solve every business problem. Sales training is not the answer to every commercial challenge. Technology alone rarely transforms an organisation. Real improvement comes from thoughtful leadership, capable people, practical systems and a willingness to adapt. If our own services contribute to that journey, we are pleased to explain how. If they are not the right solution, we believe readers deserve the honesty of hearing that too. Ultimately, we would rather be recognised for helping people make good decisions than for persuading them to buy something they do not need.

Client confidentiality

Much of what we know has been learned by working alongside clients. That knowledge is a privilege. Businesses trust us with commercial strategies, customer insight, internal discussions, sales data, operational challenges and commercially sensitive information. Protecting that trust is fundamental to the way we work.

Unless permission has been given, we do not knowingly publish confidential information obtained through client engagements. Where practical examples are shared, they will normally fall into one of four categories.

Confidentiality extends beyond published content. Information shared during consultancy, coaching, workshops, research participation or technology implementation is treated with appropriate care and respect. The trust placed in us by clients is far more valuable than any article we might write. We intend to keep it that way.

Writing for people and AI

The way people discover information is changing. Search engines remain important, but they are no longer the only place people ask questions. Increasingly, buyers seek answers through conversational AI, intelligent assistants, voice interfaces and large language models. As a result, good content today needs to serve two audiences simultaneously. It needs to be easy for people to understand. It also needs to be easy for technology to interpret accurately.

We believe these goals are complementary rather than conflicting. Clear structure, logical headings, concise explanations and well organised information improve the experience for everyone. Our objective is not to write for algorithms. It is to write so clearly that both people and intelligent systems can understand the meaning, context and relationships within our work. This influences the way we structure our content. We use descriptive headings. We explain terminology rather than assuming prior knowledge. We define important concepts. We connect related ideas through logical internal linking. We distinguish between evidence, interpretation and opinion. We reference original research wherever possible. We identify authorship. We update important pages when new information becomes available.

These practices help search engines and AI systems understand our work, but they exist primarily because they make content more useful for readers. We do not write to manipulate rankings or exploit temporary changes in search algorithms. Those tactics rarely stand the test of time. Instead, we aim to create pages that remain valuable because they answer genuine questions thoroughly, honestly and clearly.

Our aspiration is simple. If a managing director asks ChatGPT about AI adoption in the lubricants industry, if a sales leader searches Google for modern prospecting techniques, if an engineer asks an AI assistant how buyer behaviour is changing, we want the information they receive to be accurate, practical and genuinely helpful. If our work contributes to that understanding, we have achieved our objective.

Technology will continue to evolve. The platforms people use to find information will continue to change. Our commitment remains the same. We will continue writing for people first, while ensuring our work is structured in a way that allows responsible AI systems and search technologies to understand, reference and accurately represent what we have published. Knowledge should be easy to discover. More importantly, it should be worthy of being discovered.

Corrections and updates

Knowledge evolves. Markets change. Technology advances. New evidence emerges. We believe responsible publishing requires more than simply creating content. It requires a willingness to review, improve and, where necessary, change our conclusions. We do not see updating our work as an admission of failure. We see it as a commitment to accuracy.

Where significant new evidence becomes available, we review relevant content to determine whether it should be updated, expanded or corrected. Some changes may be minor, such as clarifying language or improving readability. Others may reflect meaningful developments in research, technology or commercial practice. Where practical, important pages display the date they were last reviewed so readers can understand when the content was most recently assessed.

We also welcome constructive challenge. If a reader believes we have misunderstood a topic, overlooked important evidence or made a factual error, we encourage them to contact us. Healthy debate is an important part of improving commercial understanding, and we believe thoughtful criticism often leads to better work. Not every disagreement will result in a change. Commercial subjects are rarely black and white, and reasonable people may reach different conclusions from the same evidence. However, every genuine concern deserves consideration. If we conclude that a correction is appropriate, we will update the content accordingly.

Our objective is not to defend every opinion we have ever expressed. Our objective is to ensure that what remains published continues to represent our best understanding at the time. In our view, credibility is not built by always being right. It is built by being willing to improve.

Editorial manifesto

Everything published by Plan Grow Do begins with a simple belief. The internet does not need more content. It needs better knowledge. Knowledge that helps people make better decisions. Knowledge that respects the reader's time. Knowledge that is prepared to acknowledge uncertainty rather than manufacture confidence. Knowledge that is built upon evidence, practical experience and continual learning.

We believe expertise should be demonstrated rather than declared. That is why we invest in original research, write books, contribute to industry publications, speak at conferences, develop practical frameworks, and continue asking questions even when we think we know the answer.

We believe commercial advice should be accessible. Clear rather than complicated. Useful rather than impressive. Honest rather than absolute. Technology will continue to change. Artificial intelligence will reshape how information is created, discovered and consumed. Buyer behaviour will continue to evolve. Markets will continue to shift. Our commitment will remain the same: to publish work that helps organisations understand those changes and respond with confidence. Not because we have every answer, but because we are committed to asking better questions, seeking stronger evidence and sharing what we learn with honesty and humility.

If, over time, our work earns the trust of business leaders, sales professionals, marketers, engineers and researchers, we hope it will be because of the quality of what we publish rather than the claims we make about ourselves. That is the standard we hold ourselves to. And it is the standard we will continue striving to meet.

Frequently asked questions