Why People Resist Writing Technical Documents

People do not avoid technical documentation simply because they dislike writing. They often resist because documentation exposes knowledge, risk, gaps, ownership, and accountability. This article explores the psychology behind that resistance and explains how technical authors and information managers can make knowledge sharing safer, easier, and more useful.

The psychology behind writing technical documents is not about writing. It is about identity, control, risk, confidence, workload, and trust.

Resistance to operational documentation stems from people’s awkwardness. They resist it because documentation exposes what they know, what they do not know, and how well their work holds up in writing.

Why are people reluctant to share knowledge?

1. Knowledge is power

In many organisations, people become valuable because they are the only person who knows how something works.

      • They know the system’s history.
      • the workaround.
      • which server talks to which database
      • “don’t touch that on a Friday” rule.

Writing that can feel like giving away their leverage. Documentation makes some people fear they will become less important.

That is rarely true, but the fear is real.

2. They fear being judged

When knowledge stays in someone’s head, others cannot challenge it. Once it is written, others can question it.

People may worry:

      • “What if I explain it badly?”
      • “What if someone spots a gap?”
      • “What if I have been doing it wrong?”
      • “What if this becomes evidence against me later?”

Technical documentation makes hidden practice visible. That can feel threatening.

3. Experts often do not know how much they know

A subject matter expert may say, “It’s obvious.”

It is obvious to them because they have years of context in their head. They forget what it was like not to know.

This is called the curse of knowledge. Experts skip steps, assume background understanding, and leave out dependencies because those things have become automatic to them.

That is why asking an expert to “write the process” often fails. They know the process too well to see where a new user will fall over.

4. They think writing is not their job

Engineers, analysts, developers, support staff, and project teams often see writing as admin. They may think:

“My job is to fix the thing, not write about the thing.”

This is where organisations go wrong. Documentation is not clerical work. It is part of operational control, support, continuity, audit readiness, training, and risk reduction.

The problem is that many organisations only value documentation after something breaks.

5. They have been burned before

Some people have contributed to documents in the past and seen nothing happen.

      • They gave information.
      • No one reviewed it.
      • No one published it.
      • The document disappeared into SharePoint.
      • Six months later, someone asked them the same questions again.

After that, they stop engaging.

Reluctance is sometimes not laziness but disappointment.

6. They do not trust how the information will be used

People may worry that documentation will be used to:

      • blame them after an incident
      • prove non-compliance
      • expose shortcuts
      • remove their ownership
      • offshore or automate their role
      • support a restructure

If the culture is punitive, people will protect themselves. They will give partial answers, vague explanations, or just enough information to appear cooperative.

7. Writing creates cognitive load

People underestimate how hard it is to explain work clearly.

Doing the task and explaining the task are different skills. A person may be excellent at resolving a complex system issue but poor at turning that knowledge into a structured procedure, support guide, recovery plan, or knowledge article.

They may not be unwilling. They may simply not know where to start.


What information managers and technical authors can do

The answer is not to keep saying, “Can you send me the process?”

That rarely works.

The better approach is to extract, shape, validate, and govern knowledge.

1. Stop asking people to “write the document”

Ask them to explain the work instead.

A technical author or information manager should make the task easier by saying:

“You do not need to write this. Talk me through what happens, what can go wrong, and who needs to know. I will structure it.”

This removes the pressure. The SME becomes the source of truth, not the person responsible for producing polished documentation.

2. Use structured interviews

Do not ask broad questions such as:

“How does the system work?”

Ask controlled questions:

      • What triggers this process?
      • Who owns it?
      • Who performs it?
      • What systems are involved?
      • What access is required?
      • What are the dependencies?
      • What happens if this step fails?
      • What evidence proves the task is complete?
      • What must never be done?
      • Who needs to be notified?
      • What is the escalation route?
      • What documents or records are produced?

Good documentation comes from good questioning.

3. Make knowledge sharing safe

People share more when they know the purpose.

Explain that documentation is not there to catch them out. It is there to protect the organisation and reduce repeated interruptions.

A useful message is:

“The aim is not to audit your memory. The aim is to stop the business depending on memory.”

That distinction matters.

4. Turn experts into reviewers, not writers

Most SMEs are better at reviewing than drafting.

A practical model is:

      1. Technical author interviews the SME.
      2. Technical author drafts the document.
      3. SME reviews for accuracy.
      4. Information manager checks structure, metadata, ownership, and control.
      5. Document owner approves.
      6. Document enters the review cycle.

This respects the SME’s knowledge without forcing them to become a writer.

5. Show people what poor documentation costs

People respond better when documentation is linked to real pain.

For example:

      • repeated support calls
      • failed handovers
      • slow onboarding
      • avoidable incidents
      • audit findings
      • change failures
      • disaster recovery confusion
      • project delays
      • dependency on one person
      • duplicated or contradictory processes

The argument should not be “we need documents.”
The argument should be “this is the risk we carry without them.”

6. Make contribution easy

Do not give SMEs a blank Word document.

Give them prompts, templates, checklists, diagrams, or short forms.

For example:

Instead of asking Ask this
Write the procedure. Give me the trigger, steps, exceptions, and escalation route.
Document the system. List the components, owners, dependencies, interfaces, and support contacts.
Update the knowledge base. Tell me what has changed, who it affects, and what users need to do differently.

People will contribute when the task is specific.

7. Use workshops, not email chains

Email is often a poor way to gather knowledge.

A short workshop can achieve more than three weeks of chasing. Put the right people in a room and map the process live.

Use:

      • process maps
      • whiteboards
      • dependency diagrams
      • RACI tables
      • system flow diagrams
      • incident timelines
      • “what happens if…” scenarios

The technical author captures the conversation and turns it into controlled documentation afterward.

8. Recognise the contributor

Knowledge sharing should carry status.

A simple contributor section, review credit, or acknowledgement can help. People are more likely to share knowledge when they feel their expertise is being recognised, not harvested.

The message should be:

“Your knowledge is important enough to become the organisation’s standard.”

That is a very different message from:

“We need you to fill in this template.”

9. Link documentation to governance

Information managers should make documentation part of normal business control.

That means every critical document needs:

      • an owner
      • version control
      • review date
      • approval route
      • classification
      • metadata
      • retention rules
      • change history
      • access control
      • review evidence

Without governance, knowledge sharing becomes a one-off exercise. With governance, it becomes part of how the organisation operates.

10. Use AI carefully

AI can help turn rough notes, transcripts, and SME interviews into a first draft. But it must not become a substitute for validation.

A good model is:

      • record or summarise the SME discussion
      • use AI to create a structured draft
      • technical author edits for clarity and usability
      • SME validates accuracy
      • document owner approves
      • information manager controls publication and review

AI helps with speed. It does not replace ownership, accuracy, context, or accountability.


The real role of the technical author

The technical author is not merely “the person who writes it down.”

A good technical author acts as:

      • interviewer
      • translator
      • editor
      • sceptic
      • user advocate
      • information architect
      • risk spotter
      • governance partner

They turn messy, partial, expert knowledge into something usable, controlled, and repeatable.

The information manager then ensures that the document does not decay into another forgotten file.


The key point

People are reluctant to share knowledge because knowledge is personal, political, and protective.

The answer is not to shame them into writing. The answer is to create a process where sharing knowledge feels safe, useful, recognised, and structured.

Technical authors and information managers should not ask, “Why won’t people write?”

They should ask:

“What is stopping people from sharing what they know, and how do we remove that friction?”

That is where documentation begins.

Why Most Information Management Systems Fail?

Most information management systems do not fail because of the technology. They fail because organisations place the wrong people in charge of them.

It might sound tough, but I’ve seen the same issues over and over in documentation, governance, migration, and digital transformation projects for years.

A company buys a shiny new platform. Perhaps it is SharePoint, Asite, OpenText, Confluence, or some other enterprise repository promising collaboration, governance, and a “single source of truth.” Senior management signs off on the budget. Consultants arrive. Workshops take place. PowerPoint slides appear with words like transformation, efficiency, and digitisation.

Then reality arrives.

The people tasked with implementing the system often do not understand:

      • Information architecture
      • Metadata strategy
      • Document lifecycle management
      • Governance
      • Retention
      • Taxonomy
      • Search behaviour
      • Classification
      • User behaviour
      • Migration risk
      • Audit requirements

Instead, the responsibility falls to:

      • Project managers are trying to keep timelines alive
      • Administrators are learning the system as they go
      • Engineers or operational staff are given “document duties”
      • Junior analysts following configuration guides
      • Contractors brought in late with no authority
      • Teams follow instructions without understanding why the rules exist

The result is predictable.

Folders become dumping grounds. Metadata becomes inconsistent. Naming conventions collapse within months. Nobody owns review cycles. Duplicate files spread everywhere. Obsolete documents survive for years. Search becomes unreliable. Staff stop trusting the repository and return to shared drives, desktops, Teams chats, and email attachments.

The system technically works.
The information ecosystem does not.

One of the biggest problems is the culture of “learning on the job” without experienced guidance. There is nothing wrong with learning. Every profession requires it. The danger appears when organisations assume complex information governance can be improvised by whoever is available.

Information management is not merely administration.
It is a discipline.

A proper information manager understands:

      • Governance structures
      • Risk
      • Regulatory obligations
      • User behaviour
      • Retrieval logic
      • Version control
      • Controlled publishing
      • Retention schedules
      • Audit defensibility
      • Migration integrity
      • Operational continuity

Without that knowledge, teams often follow instructions mechanically.

“Upload the files.”

“Apply metadata.”

“Move everything into SharePoint.”

“Create the folders.”

“Archive old material.”

But few stop to ask:

      • Why are we storing this?
      • Who owns it?
      • Who reviews it?
      • Is it duplicated elsewhere?
      • Is it authoritative?
      • What is the retention requirement?
      • What business process depends on this information?
      • What happens if somebody follows the wrong version?

That lack of understanding is where many systems quietly begin to decay.

The harsh truth is that some organisations confuse software knowledge with information management expertise. Knowing how to create a SharePoint library does not make someone an Information Manager, just as knowing how to use Word does not make someone a technical author.

Technology alone cannot compensate for weak governance.

Another recurring issue is leadership detachment. Senior management often sees Information Management as an IT deployment rather than an operational control mechanism. Once the platform is installed, they assume the job is complete.

It is not.

The difficult work starts afterwards:

      • Governance
      • Ownership
      • Review enforcement
      • Classification
      • Rationalisation
      • Training
      • Audit checks
      • Lifecycle management
      • Repository discipline

Without these controls, entropy takes over.

This is why many migrations fail to improve anything. Organisations transfer chaos from one platform to another. The old shared drive becomes a badly organised SharePoint site. The same ROT — redundant, obsolete, and trivial information — survives the migration untouched.

A poorly governed system can often outperform an excellent platform without it.

The uncomfortable conclusion is this:

Most information management failures are not technical failures.
They are failures of leadership, governance, experience, and understanding.

Until organisations place experienced people in charge of their information estates — people who understand both systems and governance — many so-called digital transformations will continue to become expensive storage exercises disguised as progress.

Why Technical Authors are disappearing from IT Projects

Technical authors are vanishing from many IT projects.

Project managers, hire a technical author
Hiring a suitable Technical Author

Not because documentation is no longer needed.

But because organisations convinced themselves that:

      • Agile removed the need for documentation
      • SMEs could “just write it”
      • Developers could document as they build
      • Wikis replaced structured information management
      • AI can now generate everything automatically

The result?

Documentation did not disappear. Ownership disappeared.

The Agile Misinterpretation

IT misunderstood Agile, believing it meant:

Less documentation.

What Agile challenged was:

      • Excessive bureaucracy
      • Huge unused specification sets
      • Documentation written for sign-off instead of operational value

But somewhere along the line, many organisations translated this into:

We no longer need technical authors.

So documentation responsibilities were fragmented across:

      • Developers
      • Business analysts
      • Product owners
      • Service managers
      • Support teams

Everyone became partially responsible.

Which usually means nobody became fully accountable.

IT Projects Still Produce Complexity

Modern IT environments are not simpler but more complex than they were 20 years ago.

Today’s projects involve:

      • Cloud platforms
      • APIs
      • Identity management
      • Cybersecurity controls
      • SaaS integrations
      • DevOps pipelines
      • Automation
      • Data governance
      • Compliance obligations
      • Hybrid infrastructure
      • AI systems

Yet many projects still assume documentation can “emerge naturally.”

What usually emerges is:

      • Scattered Confluence pages
      • Outdated SharePoint libraries
      • Tribal knowledge
      • Slack conversations acting as operational memory
      • Contradictory procedures
      • Uncontrolled revisions

Eventually, operational support inherits the chaos.

The “SMEs Will Write It” Fantasy

Subject Matter Experts are essential.

But SMEs are not usually:

      • Information architects
      • Editors
      • Audience analysts
      • Metadata specialists
      • Structured writing professionals
      • Governance specialists

Most SMEs focus on:

      • Delivering systems
      • Solving technical problems
      • Meeting deadlines

Documentation becomes secondary.

Postponed until the last phase of a project — when schedules collapse, and budgets tighten.

That is where technical authors historically added value:

      • Extracting knowledge
      • Structuring information
      • Standardising terminology
      • Identifying gaps
      • Challenging ambiguity
      • Creating usable operational guidance

Without that role, knowledge quality declines rapidly.

Documentation became Invisible Work.

In many IT organisations, documentation is now treated as:

      • Administrative overhead
      • Non-billable effort
      • A project afterthought
      • Something AI can “tidy up later”

Yet the same organisations later struggle with:

      • Failed handovers
      • Poor onboarding
      • Repeated incidents
      • Knowledge loss
      • Service desk dependency
      • Operational inconsistency
      • Audit failures

Because undocumented systems create operational drag.

The irony is simple:
The more complex IT becomes, the more valuable structured information becomes.

AI is speeding up the illusion

AI has amplified the belief that technical writing is “generating text.”

But experienced technical authors are not typists.

They managed:

      • Information quality
      • Knowledge structures
      • Content governance
      • Audience interpretation
      • Process consistency
      • Lifecycle control
      • Information retrieval
      • Operational usability

While AI can produce drafts quickly, it does not inherently:

      • Understand organisational risk
      • Detect conflicting operational procedures
      • Validate technical accuracy
      • Govern document lifecycles
      • Manage controlled information environments

Many times, AI speeds up the production of unmanaged content.

The Hidden Shift

Interestingly, technical authors have not entirely disappeared. We have changed titles:

Across IT projects, former technical authors now operate as:

      • Information managers
      • Knowledge managers
      • Content strategists
      • Service transition analysts
      • Governance specialists
      • Digital adoption consultants
      • Documentation engineers
      • Information architects

The writing component became only one part of a broader information role.

The Long-Term Risk

IT projects can survive in the short term without dedicated technical authors.

Until:

      • Key staff leave
      • Systems fail
      • Audits occur
      • Services scale
      • Migrations happen
      • Security incidents arise
      • Regulatory scrutiny increases

Then organisations rediscover the same truth:

      • Operational resilience depends on reliable information.
      • And reliable information rarely happens accidentally.
      • The disappearance of technical authors from IT projects may save money on a spreadsheet.
      • But over time, many organisations discover that they have not removed the need for technical authors.
      • They merely removed the people responsible for keeping organisational knowledge usable.

How to Hire a Technical Author When You’ve Never Worked With One

Hiring a technical author can be challenging if you’ve never worked with one before. This guide explains how project managers and business leaders can evaluate technical authors, understand their skills, and determine whether they are the right fit for a project or organisation.

 

Many project managers and business leaders struggle when hiring a technical author. The difficulty comes from one simple problem: they have never worked with one before.

People often misunderstand technical authors. The title suggests someone who simply writes documents. In reality, the role is far broader. A good technical author analyses complex information, structures knowledge, designs documentation systems, and communicates with specialists across multiple disciplines.

Project managers, hire a technical author
Hiring a suitable Technical Author

Because of this, hiring a technical author requires a different approach from hiring other roles.

Understanding how to evaluate their skills is the first step.


Start by defining the problem you need to solve

Before reviewing candidates, organisations should clarify why they need a technical author. Project managers should do the same.

Different environments require very different documentation. For example:

      • Engineering projects may require procedures, safety documentation, and operational manuals.
      • IT environments may require knowledge bases, configuration guides, and migration documentation.
      • Regulated sectors often require policies, audit evidence, and controlled documentation.
      • Infrastructure programmes may need large volumes of technical documentation to support operations.

Hiring mistakes often occur when organisations advertise for a “technical writer” without defining the real requirement.

A clear job description should include:

      • Types of documentation required
      • Stakeholders involved
      • Documentation systems used
      • Level of governance required
      • Whether the role is strategic or operational

Once this is clear, evaluating candidates becomes much easier.


Evaluate how the candidate approaches information

The strongest technical authors show structured thinking.

Writing is only one part of the job. Most of the work happens before we write the first sentence.

The cost of Technical and Process documentation
The cost of Technical and Process documentation

During interviews, ask candidates how they would approach documenting a system they know nothing about.

Sound answers usually include:

      • discovery interviews with subject matter experts
      • audience analysis
      • document hierarchy and structure
      • information mapping
      • controlled templates
      • review and approval workflows

Candidates who focus only on writing skills may lack experience managing complex documentation environments.


Ask about real documentation environments

Writing samples alone rarely reveal the full picture.

Many technical authors work in regulated industries where documents are available internally only.

Instead of focusing only on samples, ask candidates to explain previous projects.

For example:

      • What documentation problem were they solving?
      • Who were the stakeholders?
      • How did they gather information?
      • How did they structure the documentation?

These answers often reveal far more about their experience than a writing sample.


Assess Communication Skills

Technical authors operate between different professional groups. They may work with engineers, project managers, operations teams, and senior leadership.

The role requires strong communication skills.

Candidates should be able to explain complex ideas clearly and confidently and show experience interviewing subject-matter experts and translating technical information into structured documentation.

A simple test is to observe how clearly they explain their previous work during the interview.


Test their ability to structure information

A practical exercise can reveal how a technical author thinks.

Provide a short set of disorganised notes and ask the candidate how they would structure them into documentation.

You are not looking for perfect writing. Instead, look for evidence that the candidate can organise information logically.

Strong candidates often talk about:

      • document hierarchy
      • workflow structure
      • templates
      • navigation and indexing
      • diagrams or process flows

This shows their ability to design usable documentation.


Check their experience with documentation systems

Modern documentation environments rarely consist of simple folders.

Technical authors often work with systems such as:

      • SharePoint
      • Confluence
      • Asite
      • document management systems
      • knowledge repositories

Ask candidates how they manage document repositories and maintain document integrity.

Experienced authors usually discuss:

      • metadata
      • taxonomy
      • version control
      • document lifecycle management
      • review workflows

These are essential skills for maintaining controlled documentation.


Look for Governance Awareness

The cost of Technical and Process documentation
The cost of Technical and Process documentation

In many industries, documentation supports compliance requirements.

Technical authors often work within frameworks such as:

      • ISO 9001
      • ISO 27001
      • IT service management frameworks
      • internal quality systems

Candidates should understand how documentation supports governance and audit readiness.

This demonstrates that they view documentation as a controlled information asset rather than simply a collection of files.


Contract Roles vs. Permanent Roles

Organisations often hire technical authors in two different ways.

Contract roles focus on projects. They often support system migrations, major programmes, or documentation backlogs.

Permanent roles focus more on long-term governance, knowledge management, and documentation standards.

Understanding the difference helps determine what type of experience is required.


Final Thoughts

Hiring a technical author can be challenging if you have never worked with one before. The key is to focus on how candidates think about information rather than simply evaluating their writing style.

The most effective technical authors combine several skills:

      • structured thinking
      • strong communication
      • documentation governance
      • knowledge management

When these skills are present, documentation becomes more than a collection of files. It becomes a managed knowledge asset that supports projects, operations, and long-term organisational memory.


If you would like help to build or improve your organisation’s documentation environment, visit techwriting.co.uk to learn more about technical authoring and information management services.

From Complexity to Clarity: The Technical Authoring Way

Technical authors bridge the gap between complexity and clarity. Learn how structure, empathy, and plain English create documentation people actually use.

Every organisation wrestles with complexity. Systems evolve, processes multiply, and acronyms breed faster than understanding. Technical authoring becomes crucial in such scenarios. Somewhere in that tangle, people stop reading, stop following, and start guessing. That’s when errors creep in, efficiency drops, and the documentation everyone thought existed suddenly becomes “that thing we’ll fix later.”

That’s where the technical author steps in, uniquely skilled in technical authoring to bridge these gaps.

A technical author’s purpose is not only to write — it’s translating complexity into clarity. We work at the intersection of engineering, IT, and communication, ensuring that processes, systems, and knowledge are usable, repeatable, and understood. Our craft is part detective work, part design thinking, and entirely focused on the reader.

Understanding the Reader’s World

Clarity begins with empathy. Technical authors spend much of their time understanding the user’s context — their goals, frustrations, and level of technical knowledge. Whether we’re documenting an API, a SharePoint governance plan, or a safety-critical engineering process, our first question is always the same:

“Who needs this information, and what do they need to do with it?”

That question shapes everything that follows — the structure, language, and format. It’s how we transform information from a data dump into a valuable and actionable resource.

Structure Is Strategy

Good documentation doesn’t happen by chance. Behind every clear paragraph lies a strategy: a taxonomy that defines where information lives, a naming convention that ensures consistency, and metadata that keeps documents findable long after the author moves on.

We know that clarity isn’t just what’s written — it’s how information is organised. That’s why technical authors create templates, workflows, and metadata standards to keep projects aligned. Without that structure, documentation collapses under its own weight.

Plain English Is Powerful English

There’s a common misconception that plain English means dumbing things down. In reality, it’s about respecting the reader’s time, a critical aspect of effective technical authoring.

Technical authors strip away unnecessary jargon, long sentences, and layered clauses. We use verbs instead of nouns, bullets instead of paragraphs, and examples instead of assumptions. Every word earns its place. When you write clearly, you make expertise accessible — and that’s where value lies.

Bringing Order to Chaos

Many projects underestimate the effort required to manage documents. Policies change, templates evolve, and revisions accumulate. The result? Duplicated content, mismatched titles, and version confusion.

Technical authors bring order to this chaos. We align document titles with content, maintain traceability, and ensure that every document serves a defined purpose. When audits come — ISO 27001, PCI DSS, or client compliance — that clarity is the difference between approval and failure, all thanks to proficient technical authoring.

The Hidden ROI of Clarity

Clear documentation saves time, reduces risk, and improves quality. It prevents engineers from reinventing the wheel and keeps managers aligned with process changes. But beyond efficiency, clarity builds trust. When users see well-structured, accessible documentation, they gain confidence in the system and the organisation behind it.

The Technical Authoring Way

The “technical authoring way” isn’t about words — it’s about outcomes. It’s about helping people do their jobs more effectively, efficiently, and with fewer errors. It’s about ensuring that complex systems can be understood, maintained, and improved long after the project closes.

In a world that rewards speed, clarity is still the ultimate accelerator.


Reflective question:

When was the last time your organisation reviewed whether its documentation informs or merely describes?


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