In many SaaS companies, some of the most important knowledge does not live in documentation.
It lives in people.
The developer who understands a legacy integration.
The support analyst who knows the workaround nobody documented.
The implementation consultant who remembers why a configuration behaves differently for one customer.
The Product Manager who “just knows” how a workflow is supposed to work.
Over time, this creates tribal knowledge, information that exists inside teams and conversations rather than in structured, accessible documentation.
At first, this often feels manageable.
Eventually, it becomes expensive.
What Tribal Knowledge Looks Like
Tribal knowledge rarely appears as a deliberate decision. It usually develops gradually as companies grow quickly and teams focus on delivery.
Information becomes scattered across:
- Slack or Teams conversations
- Jira tickets
- meeting notes
- email chains
- verbal explanations
- screenshots
- old videos
- internal chats
- individual memory
The result is that critical knowledge becomes difficult to find, difficult to maintain, and heavily dependent on specific individuals.
The “Ask Steve” Problem
Most companies have at least one person who becomes the unofficial source of truth.
When somebody needs an answer, they ask Steve.
Steve knows:
- how the integration works
- why the process behaves differently for one customer
- which configuration option not to touch
- what the old workflow used to do
- how to recover from obscure edge cases
The problem is not that Steve is knowledgeable.
The problem is that the company has accidentally built operational dependency around one person.
If Steve is on holiday, busy, leaves the company, or simply forgets details over time, productivity slows down across multiple teams.
Tribal Knowledge Slows Everything Down
When information is undocumented, people spend more time searching than solving.
Teams repeatedly:
- interrupt Subject Matter Experts for answers
- duplicate research already completed elsewhere
- make assumptions based on incomplete information
- rely on outdated guidance
- create inconsistent customer responses
This impacts:
- onboarding
- support response times
- product delivery
- training
- implementation projects
- customer confidence
Even experienced employees can struggle when knowledge is fragmented across systems and conversations.
It Creates Risk During Growth
Tribal knowledge becomes particularly dangerous during periods of scale.
As SaaS companies grow:
- more employees join
- products become more complex
- integrations increase
- customer requirements expand
- release cycles accelerate
Without structured documentation, knowledge does not scale with the business.
New employees take longer to become effective because they rely heavily on existing staff to explain systems and processes.
Support teams may give different answers depending on who responds.
Product decisions become harder because historical reasoning is unclear.
Over time, companies lose visibility into how their own systems actually work.
AI Cannot Reliably Learn From Chaos
Many organisations are now introducing AI-powered support assistants, internal search tools, and knowledge retrieval systems.
However, AI systems are only as reliable as the information they can access.
If knowledge is fragmented across:
- chat messages
- undocumented workflows
- inconsistent terminology
- outdated articles
- hidden assumptions
then AI tools may return incomplete, misleading, or incorrect answers.
This creates a false expectation that AI can “solve” knowledge problems automatically.
In reality, AI performs best when supported by structured, accurate, and well-maintained documentation.
Documentation Protects Organisational Knowledge
Good documentation is not simply about writing instructions.
It is about protecting operational knowledge.
Well-structured documentation helps companies:
- reduce dependency on individuals
- onboard staff faster
- improve support consistency
- preserve product history
- scale knowledge across teams
- improve customer self-service
- support AI-driven experiences
Most importantly, it makes knowledge accessible to the people who need it, when they need it.
Tribal Knowledge Is Usually a Symptom
In most cases, tribal knowledge does not exist because teams are careless.
It exists because:
- teams move quickly
- deadlines take priority
- documentation ownership is unclear
- knowledge sharing happens informally
- nobody has time to organise information properly
That is why documentation should not be viewed as a final administrative task.
It is part of operational resilience.
The more a company grows, the more valuable structured knowledge becomes.
Because eventually, “just ask Steve” stops being sustainable.