Documentation is a growth constraint
Most founders treat documentation as work for later. First, ship the product. Then find customers. Then deal with the support questions. That sequence creates a problem. The support questions arrive when the people who understand the product are busiest building it.
It’s an approach that can hold back your growth.
One founder told us:
“Documentation is a friction point every prospect raises, and it is the layer that allows our partner channel to scale deployments without founder involvement in every project.”
Start with the customer’s first useful result
An MVP does not need a manual for every feature. Instead, it needs enough information for a new customer to complete the work that made them choose the product.
For a software platform, that path might include:
- Understanding what the product does and who it is for.
- Creating an account or workspace.
- Completing administrator setup.
- Connecting a data source.
- Configuring the product for a particular user type.
- Completing a key workflow and checking the outcome.
Write those instructions first.
A getting started guide should take someone from no experience of the product to a useful result.
If the guide becomes difficult to write, it might reveal an unclear onboarding process, missing UI feedback, or a concept the product has not explained well enough.
Explain the terms your team takes for granted
Founders and developers know why the product exists, how its parts fit together, and what its terminology means. New customers do not.
A short introduction should explain:
- Who the product is for.
- The problem it helps them solve.
- The core concepts they need before they begin.
- What a successful outcome looks like.
Do not make the customer learn your internal language before they can use the software. Explain the term, rename it, or remove it from the interface.
Document the work carried out by different users
Many early documentation sets are organised around the product’s menus. That is rarely how users think. They want to get things done.
A platform with administrators, operational users, and partners has different documentation needs for each group.
For example:
- An administrator might need to set permissions, connect systems, and manage account settings.
- An operational user might need instructions for their daily workflow.
- A partner might need deployment steps, configuration guidance, and a way to resolve common issues without waiting for the product team.
An information model gives these pages a structure. It maps the product areas, user types, and tasks before the team starts publishing content at speed.
This matters when the product grows. Without a structure, help content becomes a collection of disconnected pages. Customers cannot find what they need, and the team cannot see which documentation is missing or out of date.
Be clear about what the MVP does not do
An MVP has limits. Customers are less frustrated by a stated limitation than by spending an hour looking for a feature that does not exist.
Document limitations that affect a customer’s decision or their day-to-day work. State any sensible workaround. You do not need to publish every bug or internal product debate.
This is particularly important when a feature appears to work but only supports a narrow case.
Build for the next stage without overbuilding today
A young company does not need the documentation operation of a large enterprise platform. It does need to avoid choices that force a costly rebuild once the product, customer base, and partner channel expand. That usually means choosing an information structure for the content, writing reusable templates; and assigning responsibility for updates.
The first release can remain focused. Start with core onboarding, administrator setup, data connection, persona configuration, and the workflows customers need most.
Then expand the documentation where customer behaviour shows the need.
Make repeated support questions part of the backlog
The first documentation backlog should come from customer evidence.
Record the questions that appear in onboarding calls, support tickets, demos, and partner conversations. If a question appears repeatedly, it is a documentation candidate. It might also show that the product needs changing.
For example:
- How do I connect a data source?
- Which settings are controlled by an administrator?
- Why cannot a user see a particular option?
- What should a partner check before a deployment?
- What happens when a key workflow fails?
This is how documentation grows from evidence, rather than from an attempt to predict every question a future enterprise customer might ask.
Use AI carefully
AI-assisted content workflows can help a growing documentation team find gaps, prepare first drafts, check consistency, and reuse approved source material.
They still need clear source material.
An AI assistant will repeat the weaknesses in the documentation it retrieves. If setup instructions are incomplete, or two pages give different advice, the answer will be incomplete or inconsistent too.
For software companies considering AI support, documentation needs clear ownership, a maintained structure, and a way to check whether content is accurate after product changes.
The information still has to be right.
Do not let the founder become the documentation
In an early-stage company, the founder is often the unofficial help centre.
The answer sits in one person’s head.
That works until the number of customers, colleagues and product decisions increases. Then every repeated explanation interrupts someone whose time is already scarce.
Documentation turns that knowledge into something people can find, check and improve. It also makes onboarding less dependent on who happens to be available.
Early support conversations are still valuable. They show where customers hesitate, what they expected the product to do, and the language they use to describe the problem.
The aim is to stop answering the same basic question for the fifth time, rather than replace those conversations too early.
Keep the personal contact for discovery, feedback and difficult cases. Turn the repeated “how do I…” questions into clear self-service help.
Treat documentation as product research
A Technical Writer writing a task guide has to follow the same path as a new customer. That exposes unclear labels, unnecessary steps and missing feedback.
Sometimes the right answer is a new documentation page. Other times it is changing the product so the page is not needed.
That is why documentation is part of the MVP. It shows where the software asks too much of its users, as well as explaining how to use the product.
Know when the next investment is due
Documentation needs more attention when support demand rises, onboarding takes too long, the product gains integrations, or enterprise customers begin asking detailed questions.
Other signs include developers spending too much time answering the same questions, product changes making existing instructions inaccurate, and new employees struggling to understand customer workflows.
At that point, the work shifts from publishing useful pages to managing a maintained documentation system: ownership, structure, review and a clear connection between product changes and content updates.
If you need help
Cherryleaf helps software companies plan, structure, and create technical documentation that supports customers, administrators, and partners.
That might begin with a documentation strategy, an information model, and the first MVP content. It can then grow into maintained help content, API documentation, templates, and content workflows.
The documentation has to exist. Someone has to make it clear, accurate, and useful enough for customers to act without waiting for the founder.
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