Technical documentation as the superbrain of digitalisation — that is a claim I often explain in consulting sessions and rarely leave unchallenged. I hold the view nonetheless, with arguments I have gathered over 28 years and set out below.
First, an observation from consulting: companies routinely invest six- or seven-figure sums in ERP, PLM, CRM. Alongside them, technical documentation runs on outdated software, understaffed, in the collective indifference of management. When a digital-twin project then fails or an AI pilot delivers no usable results, the explanation is often the same: no clean knowledge base.
That is exactly where technical documentation is structurally strong. For regulatory reasons, it has to produce product knowledge that is valid, versioned, and legally robust. Other areas document when it happens to suit them. Technical documentation has to document, because liability law demands it. This obligation makes it the only department that runs structured information governance as a matter of standard operation.
What technical documentation as a superbrain does differently
Three characteristics distinguish technical documentation from other documenting departments:
First, validity. Content is checked against specifications, drawings, and risk assessments. In a CCMS, the source of every block is traceable. When the design engineer changes the screw size, it shows up in the manual — not only at the next audit, but at the next build.
Second, versioning. Every delivery of a machine is linked to a specific documentation version. On a service call five years later, you can trace which state applied at the time of delivery. Very few ERP or CRM systems offer this granularity for product knowledge.
Third, modularity. Modern technical documentation works with topics that feed into several documents without a single line having to be maintained more than once. The reuse rate of a mature CCMS setup is 60 to 80 %. What sits in a CRM or ERP as a data point is, in technical documentation, structured content with metadata and a usage history.
The contribution of technical documentation at every step of the value chain
Technical documentation delivers substance at every phase of the product life cycle:
Market analysis. Technical-documentation systems contain usage feedback from service, complaints documentation, and operating problems. These sources are rarely used in market research, even though they are more concrete than any external study.
Development. Specifications, design guidelines, and risk assessments often originate in technical documentation or are maintained there. When technical documentation is involved early in the development process, safety gaps surface before the design, not after delivery.
Sales. Precise data sheets, correct declarations of conformity, and traceable specifications are a robust obligation, not a marketing-material repository. They are the basis on which a technically savvy buyer decides. Marketing copy without technical-documentation validation leads to complaints, and the complaints are the price of the dishonest brochure.
Installation and commissioning. Clear instructions shorten commissioning measurably. In practice I have seen a module-based instructions setup cut installation time per system from an average of 4 hours to 2.5 hours. Scaled over 50 systems per year, that adds up to a significant effect on staffing effort.
Service and maintenance. This is where technical documentation makes its strongest contribution. Service manuals, wiring diagrams, spare-parts lists, diagnostic trees — everything that makes the service case solvable comes from technical documentation or can be generated from it. Self-service portals, remote support, and AI assistants work on this data base. If the base is poor, the applications on top of it are poor.
End of life. Disassembly, recycling, and disposal instructions are required by regulation and are maintained in technical documentation. Without them, there is no Product Safety Act-compliant delivery.
Why knowledge management belongs anchored in technical documentation
The thesis I have held for years: when a company wants to build knowledge management, the organisational anchoring belongs in technical documentation. Not in a separate staff unit, not in IT, not in HR.
The reasoning: technical documentation masters the methods that knowledge management needs. Topic-based structuring, metadata maintenance, terminology work, versioning, reuse. In other departments these are foreign words. In technical documentation they are everyday business.
When a company builds knowledge management in a staff unit, that unit faces the build-up problem of all staff units: no methodological competence, no operational leverage, no access to productive content. After 18 months the staff unit is disbanded and the knowledge-management project is deemed a failure. When a company anchors knowledge management in technical documentation, it builds on an existing methodological base, and technical documentation gets the mandate that matches the breadth of its tasks.
The only structural difficulty: technical documentation has to want this role, and it has to be approached with the right leadership framing for it. More on this in a separate article on leadership in technical documentation.
Where technical documentation as a superbrain hits its limits
Three honest limitations I put before the thesis:
Staffing capacity. If technical documentation is set up too thinly, it cannot take on additional tasks. An extension towards knowledge management needs a staffing increase. Three additional heads for a 200-person company are realistic.
Tool competence. If technical documentation still works in Word and PDF, the modularity base is missing. A CCMS migration should come before the knowledge-management anchoring — otherwise knowledge management works on a data base that does not support the thesis.
Management mandate. Without an explicit assignment of the knowledge-management role to technical documentation by management, the extension fails. The head of technical documentation cannot claim the role on their own; that creates conflicts with staff units that consider themselves responsible.
What you can do in concrete terms
If you find this line of reasoning sound, the next steps are manageable:
- Take inventory of technical documentation: degree of structuring, CCMS or not, modularity rate, staffing setup
- Identify the knowledge-management gaps in the company: where is knowledge spread out, where do duplicated work and waiting time arise
- Check the mapping: which of the knowledge-management gaps could technical documentation take on methodologically, if it had the mandate
- Involve management: a concrete assignment of responsibility instead of general programmatics
- Cost out the staffing and tool investment — and compare it with the effort a staff-unit solution would incur
The order matters. Anyone who builds knowledge management without first examining technical documentation builds a second solution alongside an existing one. Anyone who examines technical documentation and extends its mandate uses existing methodological competence and saves the staff-unit build-up.
You can find more on the foundations such an initiative builds on in my article on knowledge management in the enterprise. Anyone who wants to connect this with the field of technical communication will find the argument in The Unity of Information.
Knowledge management that still works after 18 months
Most knowledge-management initiatives fail not because of the software but because of the organisational anchoring and the methodological base. Schübeler Consulting helps you set this order up correctly: inventory, mandate clarification, implementation with staffing plan.
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— Johann Jörgen Schübeler, Schübeler Consulting