Part III: Determining value through usage
- Questioning assumptions about the value of docs
- The relationship between usage and value
- What about metrics?
- Not everything that is valuable has the same level of value
Now that we’ve explored some of the research on the topic of a technical writers’ value, let’s move toward the first part of our argument: Documentation derives value through perceived usage from important groups in the organization.
Note that my argument is that documentation has value, not that technical writers have value. It is a non-sequitur that if documentation has value, technical writers are necessary. Conceivably, anyone in the organization can write documentation. A business leader can believe that documentation is valuable but not concede that tech writers are necessary to create it.
Questioning assumptions about the value of docs
That documentation plays an important and valuable role in a company is usually a premise that goes unquestioned, especially among technical writers. But let’s pause a moment and question our assumptions. Is documentation really so valuable?
The other week I walked into our breakroom and stumbled into a conversation in which someone boldly asserted:
“I have not used the documentation for any product I own for at least the last 10 years.”
As this was another team and I had just walked into the room, I lacked some context. But I assume the argument was that the team could skip the need to create documentation for an issue raised by a customer. Or perhaps there was an error in the documentation for an already-shipped product, and the person was downplaying the impact. Either way, the general idea was that documentation wasn’t that important because not many people use documentation. (Determining value through usage is a topic we’ll return to shortly.)
Regardless of whether people actually use documentation (in any of its forms, whether printed manuals or google searches), what Carliner et al’s research teaches us is that perceptions matter. The perception that documentation is unused or unimportant, based on one’s experience of never using the documentation for the tech gadgets one owns (such as an iPhone or printer), devalues documentation as a whole.
I agree that for some products, documentation is unimportant. Consider a perfectly designed UI for an intuitive product. What need is there for documentation on how to use it? Think about your toaster. A toaster shouldn’t need documentation, nor should a blender or water bottle. For many designers, having documentation is an admission of design failure. In fact, the more documentation you need for a product, the worse the design.
One could argue that if documentation is necessary for your product’s success, your product will never succeed because users don’t want to read documentation to use your product. I haven’t read the official docs for my iPhone, and in a way, that’s why I like my iPhone — it’s intuitive enough for me to figure it out based on the product’s interface that I don’t need to frequently consult the docs. Reducing the dependence on documentation, or even eliminating documentation altogether, might be a way to force your product to be more intuitive, to stand on its own and be designed well enough not to require a manual.
By providing documentation, you’re enabling poor design. Get rid of documentation, and you force the design to be better. So should all documentation then be avoided?
No, we can’t get rid of documentation. What holds true for some easy, intuitive products can’t be applied to the vast array of complex products in the technology landscape. No matter how intuitive a design product teams aspire to achieve, there are complexities that cannot be eliminated. A world without docs might be a designer’s utopian dream world but it doesn’t hold true to reality. Just as we can’t discard support, field engineering, and training — all unnecessary groups in a perfectly intuitive product — we also can’t discard documentation. For many developer-centered products (such as APIs), which don’t have a user interface or tangible product, documentation in some ways is the product interface.
The assumption that docs might not be valuable is one that I’ll return to later in part VI, but for now, let’s move on.
The relationship between usage and value
Having examined assumptions about whether documentation is valuable or not, let’s accept that documentation is valuable, at least for technical products that can’t be simplified in extreme ways. Now how do we argue this value proposition, without any financial ROI data to leverage?
Let’s return to that overheard breakroom conversation: “I have not used the documentation for any product I own for at least the last 10 years … [therefore documentation has no value].” To establish value, we just need to flip the argument around: “Because I have used documentation for my products for the last 10 years … [documentation has value].” Usage has a relationship to value.
This is just common sense. For example, in my house, if we don’t use something for a period of time, we store it in the garage. After months of un-use in the garage, we put it in the trash. That which is unused gets thrown away because it has no value anymore (to us). Value and usage have a direct correlation. It’s much easier to argue that documentation is used by a lot of groups, and through this usage, infer that documentation has value. If it didn’t have value, why would they use it?
So we can build a case for documentation’s value by first establishing that people actually use documentation. The more people use something, the more valuable it is. Sure, end-users use documentation, but we don’t have ready access to them in ways that speak forcibly to business leaders. Instead, we have more direct access to other groups in the company that use documentation. There are at least 6 core groups within a company that use documentation:
- Field engineers
- Internal engineers
Here’s a graphic depicting documentation as a common asset used by all of these groups:
It’s probably unnecessary to go into depth about how each of these groups use documentation, as technical writers are familiar with this area. What’s important here is to highlight the many groups that use documentation, since identifying the groups will help us interact with them in more strategic ways. We can interact with them to gather word-of-mouth perceptions about how they use docs, as Carliner et al recommended.
What about metrics?
Rather than word-of-mouth stories about doc usage, why not establish usage through metrics (e.g., hits on pages)? Unfortunately, metrics tend to fall short for a number of reasons. Listing the number of visits on a page doesn’t tell us who visited the pages. The visits could be search bots, random internet hits for errant keyword matches, or other unknowns. They could be visits by the wrong audience.
Additionally, the number of visits on doc pages doesn’t necessarily matter. If “Topic A” gets 1,000 hits from relatively unimportant customers, but “Topic B” gets 1 hit from an important, high-revenue yielding customer, which hit is more important to the business? That 1 hit turns out to be more important, and entire roadmaps are often built around the needs of these few, high-revenue yielding customers while the masses of other users (who don’t earn the company much money) go ignored. Thus, metrics don’t mean much. Whether you get 1,000 hits or just a few visits, it’s impossible to translate these visits into business value. This is why you need word-of-mouth stories instead.
For example, in my current documentation, the least clicked-on docs from a metrics point of view involve the docs about implementing 4k into your media player. Does this mean we should abandon these docs and focus on the docs that get more clicks (the specifications pages)? Not necessarily. The business may be hungry for more 4k apps, especially as it tries to sell 4k televisions. Suppose just two app developers are working away at 4k media integration into their apps and are relying on the docs for instruction. In this way, the 4k docs pages might be even more important than the specification pages.
The point is that metrics alone can’t tell the full story about documentation usage in a way that aligns with business value and priorities. Business leaders need to know who is using the docs. Which customers, and what is their value to the business? Google Analytics can’t tell you that story. You can only tell that story through word-of-mouth reports from groups that matter — specifically, from the Support, Field Engineering, Marketing, Training, Sales, and Internal Engineering groups, since these groups often work directly with high-revenue yielding customers and can speak more directly to the impact there.
To build a case about usage by important groups, technical writers have to interact more directly with each of these groups and gather information about how they use docs as important tools in their job functions. For example, through surveys or other emails, meetings, or reporting, you might learn that field engineers rely on documentation when guiding users through product development. They might even use a real example or two. Support might tell you that they regularly link to docs in their responses, and without these links they would have to spend more time writing KB articles.
Not everything that is valuable has the same level of value
My argument so far is that docs derive value through usage from important groups. However, many resources within an organization have value. The question, when it comes to funding and resourcing, is not “Does this resource have value?” The question is “Which resource has a higher value to the business?”
Consider the case of a photocopier in a department. Suppose one day the manager says, you know what, this photocopier keeps breaking down — paper gets jammed, the print queue freezes, and it sometimes has white bands in the graphics. Let’s go green and get rid of it. The employees object, saying, “But we make photocopies daily! We print documents that need signatures, we print faxes, we need to print documents for review and annotation, we make copies for agreements, and so on. This photocopier has a high value to our job roles, and we use it daily!
Then the manager says, would you rather use the $10,000 in our budget for a new copier, or for a new watercooler, larger fridgerator, and espresso machine?
At this point, the question of value becomes relative. Both the photocopier and the watercooler / larger fridge / espresso machine would both be used abundantly. Both have value — that’s not the question. The question is which has more value to the people?
In this case, employees might choose the watercooler, fridge, and espresso machine over the photocopier. After all, almost everything is digital anyway, they say, and they’d rather have good coffee.
The same argument could be leveraged against technical writers. Sure, the business values documentation and all of these groups use it. It’s not a question of the value of docs, but degrees of competing value. Would you rather have the needed functionality in your app that many customers are complaining about, or would you rather have better documentation?
Hmmm. You can see now how my argument about value from high usage is starting to fall apart. We are now debating which company resources have more value. And here, if we limit the tech writing role to simply that of writing documentation, I fear tech writers will lose. New features in an app are much sexier, more attractive, and lead to higher sales than documentation. A product manager might think, I know our docs are poor, but we really need an API for our product. It’s what our customers have been asking for. And since I only have budget to hire one resource, we’ll use it to hire an engineer to create it.
In the next section, I’ll explore ways that technical writers can provide additional value.
About Tom Johnson
I'm an API technical writer based in the Seattle area. On this blog, I write about topics related to technical writing and communication — such as software documentation, API documentation, AI, information architecture, content strategy, writing processes, plain language, tech comm careers, and more. Check out my API documentation course if you're looking for more info about documenting APIs. Or see my posts on AI and AI course section for more on the latest in AI and tech comm.
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