Software companies hire technical writing specialists to solve a business need.
They do it when the product has outgrown the knowledge held in developers’ heads, support tickets, Slack threads, and half-finished pages in a help centre.
At that point, poor documentation starts to affect sales, onboarding, support workload, security assurance, and customer confidence. It becomes harder to postpone the inevitable: fix the docs.
The problem starts when product knowledge stops travelling
In an early stage software company, a small group can often explain the product directly. The developer knows why a setting exists, and the product manager can talk a new customer through the workflow.
That works until it doesn’t scale any more.
For example:
- A customer wants to integrate through the API.
- An implementation partner needs to configure the software without a weekly call.
- A support team answers the same question for the fifth time.
- A large customer needs a migration plan before it will sign.
These are typically knowledge-transfer problems.
The missing material might be a mixture of API documentation, administrator guides, release notes, onboarding instructions, security information, or explanations of how data moves through the system.
The fix involves finding the right information, checking it, structuring it around real user tasks, writing the words, and keeping it up to date.
Sales teams need something more than a product demo
A product demo can show that software has promise, and looks good. It is unlikely to show the product is robust, which is the third pillar of good design.
A demo cannot answer every question a buyer, technical evaluator, procurement team, or security lead will ask.
Enterprise buyers want to know how a product works in their environment. What they are buying is a system that might affect a team, a business process, customer data, or a regulated service.
Often, they need to understand integrations, roles and permissions, data handling, configuration, support boundaries, and what happens when something goes wrong.
Clear technical documentation reduces uncertainty during the buying process. It gives the customer evidence that the supplier understands the operational side of its own product.
That is also why documentation is often pulled into a sales cycle at short notice.
The need for good documentation is visible when a deal is at risk. The underlying issue has usually been building for much longer, and ideally an organisation spots this before it loses a sale.
Support teams should not be the product’s main documentation system
Support teams see where customers get stuck. But support tickets are a poor long-term substitute for documentation. They are hard to search, uneven in quality, and depend on someone being available to explain the answer again.
If a chatbot is built on those support tickets, the uneven quality of that source material can can produce an unreliable chatbot.
When the same questions appear repeatedly, the company has a choice. It can answer them faster, or it can remove the need for many of them.
Good documentation won’t eliminate support demand. Some problems need investigation or a human conversation. It can, however, deal with predictable questions before they become tickets:
- How do I set this up?
- What does this permission allow?
- Which field is required?
- Why has this integration failed?
- What changed in the latest release?
- How do we roll this out to the rest of the organisation?
The result is a support team with more time for the issues that need its judgement.
A major change creates a temporary, specialist workload
Software companies often need documentation help at points of change:
- A new product or major feature is launching.
- An old platform is being replaced.
- A company has acquired another product.
- An API is opening to customers and partners.
- A new enterprise customer is being onboarded.
- The business is moving into a sector with higher assurance requirements.
These are often concentrated pieces of work.
And that is one reason companies use a technical writing services company rather than immediately recruiting a permanent Technical Writer. The organisation needs experienced capacity now, and it needs a working documentation system when the project ends.
A specialist team can also provide an outside view. Product teams are close to the software. They know the shortcuts, the unwritten assumptions, and the history behind a feature. New users do not. They can suffer from the “curse of knowledge”: the inability to think from a new user’s perspective.
A Technical Writer can ask the simple questions that expose the missing steps.
Security and assurance are increasing the documentation workload
In the UK, customers are asking software suppliers more questions about security, resilience, support, and incident handling.
The Government’s Software Security Code of Practice is voluntary, but it is aimed directly at organisations that develop or sell software to business customers. It says suppliers should provide information about support and maintenance, give notice before software is no longer supported, and make information available about significant incidents. It also expects documented processes for managing vulnerabilities. Customers can use the Code in supplier negotiations. See: The Software Security Code of Practice.
The documents might include a vulnerability disclosure policy, security update process, product support policy, architecture overview, or customer-facing explanation of an incident process. They need to be accurate, findable, and they need to be someone’s responsibility.
Data protection and AI create a second kind of evidence
Documentation also matters when software processes personal data.
The ICO says organisations need to maintain records of processing activities and keep them up to date. See: The ICO guidance on documentation
For software companies, this turns documentation into evidence of how the product and the organisation operate.
AI products bring similar expectations. HMRC’s guidance for commercial software developers using generative AI says users should be able to identify source data, understand how it is processed, understand the model’s limitations, and raise concerns about results. See: HMRC’s guidance for software developers using generative AI
Customers need those answers in clear language.
What a technical writing services company actually provides
A good technical writing project establishes what customers, administrators, developers, support staff, and sales teams need to know. It identifies the sources of truth. It turns product knowledge into a structure that people can use. It also makes clear who will maintain each part after the initial work is complete.
That work can include:
- Auditing existing documentation and support material.
- Interviewing developers, product managers, customer success teams, and users.
- Creating an information architecture for a help centre, developer portal, or internal knowledge base.
- Writing product, API, administration, installation, and troubleshooting content.
- Setting standards for terminology, style, review, and release notes.
- Creating a practical process for updating content when the product changes.
Clarity at scale
Software companies hire technical writing specialists when their knowledge needs to travel further than the people who built the product.
That is, when it needs to:
- Reach a new customer without a two-hour call.
- Help an administrator configure a system correctly.
- Give a security team a credible answer.
- Help support explain a change once, clearly, rather than hundreds of times.
The documentation has to exist. Someone has to write it well.
How Cherryleaf can help
Cherryleaf helps software companies turn product knowledge into documentation that customers can use without waiting for a support reply.
Our software documentation service covers help centres, knowledge bases, user and administrator guides, onboarding content, in-app guidance, release notes, and troubleshooting material. We work with product and support teams to identify where users get stuck, what information is missing, and what needs to change first.
For products with APIs, our API documentation service focuses on the developer journey: understanding the API, getting access, authenticating, making a first successful call, handling errors, and moving into production. That can include reference material, tutorials, code examples, integration guidance, and a structure for a developer portal.
The aim is to give users, developers, and customers the information they need at the point they need it, while giving your team a documentation system it can maintain as the product changes.

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