With Figurative Language

Figurative Language in Technical Writing: A Practical Guide

Most people overcomplicate figurative language in professional documents. They either strip it out entirely or pile on so many similes that the reader forgets what the paragraph was about. I learned this the hard way when I was rewriting API documentation for a fintech client — their engineers kept coming back with tickets saying the "analogies were confusing." The problem wasn't that figurative language had no place there. It was that the examples were too abstract and didn't map cleanly to the actual UI behavior developers were trying to understand. The core mechanic is straightforward: take a complex or unfamiliar concept and anchor it to something the audience already understands through comparison. That's literally it. The trap is thinking you need to be clever about it. You don't. The best figurative passages in technical writing are the ones that feel almost obvious after you read them. There are four types you'll actually use. Simile draws a direct comparison using "like" or "as." Metaphor asserts the comparison directly. Analogy extends the comparison across multiple steps to explain a process. Personification gives an inanimate system a human-like property to describe behavior. In practice, analogies and similes get the most use in documentation. Metaphors work when you're explaining architecture. Personification is risky and should be used sparingly because it can mislead readers into attributing intent to systems that don't have any.

Here is a concrete example from my own work. We were documenting a rate-limiting system for a payment gateway. The original text said: "The token bucket algorithm allocates incoming requests to available capacity units." Nobody understood it. I rewrote it as: "Think of the rate limiter like a coffee shop with five baristas. Each customer takes one cup capacity from the shelf. When the shelf is empty, new customers wait in line until someone finishes and puts a cup back." That single analogy cut our support tickets by roughly 60 percent in the following month. Not because the technical explanation was wrong, but because the brain latches onto a familiar template before it can parse the abstract version.

Common Pitfalls That Waste Time

The biggest mistake I see is layering figurative language on top of itself. You'll write a simile, then immediately follow it with a metaphor about the same thing, which forces the reader to hold two mental models at once. Pick one comparison and commit to it. If the analogy breaks down partway through, stop the comparison. Don't pretend it still works just to keep the prose interesting. I once spent three days untangling a product manual where someone had compared a database query to a restaurant order and then a library checkout and a grocery list, all in the same section. The reader gains nothing from that. They gain confusion. Another subtle issue is cultural assumptions baked into the comparison. If you compare a system to a highway and your audience includes engineers from countries where highway driving norms are different, the analogy might actually obscure the concept rather than clarify it. I ran into this with a European client who was translating our documentation. Our "freeway merging" analogy for concurrent request handling confused their team because their highway on-ramps operate on a completely different yield system. We switched to comparing it to a roundabout, which is the dominant interchange type in most of Europe. Same concept, better fit.

When Figurative Language Actually Fails

It does not work in regulatory or compliance documentation. If you're writing something that needs to hold up in an audit or legal review, figurative language introduces ambiguity that reviewers will flag. The phrase "much like" implies approximation. Approximation is not acceptable when the text is going to be cited in a contract. In those contexts, stick to literal description regardless of how clear the figurative version would be. This isn't about taste. It's about liability. Another scenario where it breaks down is with highly senior experts in the same field. A principal engineer reading documentation about distributed consensus doesn't need you to compare Raft to a voting process. They already know what voting is. The figurative layer adds noise. Use comparison-based explanations when your audience has a knowledge gap. Skip it when the gap is narrow or nonexistent.

A Worked Example for a Real Scenario

Let me walk through how I approach this in practice. Say you need to explain CORS errors to frontend developers who are seeing them for the first time. A purely literal explanation would cover preflight requests, origin headers, and Access-Control-Allow-Origin fields. That is accurate and complete but it reads like a spec sheet and most developers will tune out halfway through. Instead, I'd frame it this way: "A CORS error is the browser enforcing a bouncer policy. The server is the club. Your origin is the invite list. If your domain isn't on the list and the server hasn't explicitly widened the list, the browser won't let the request through. The preflight request is the bouncer checking your ID before you even get to the door." This version trades some precision for comprehension speed. Developers who need the exact spec details can still look them up. The figurative frame gets them unstuck in about thirty seconds instead of ten minutes of reading headers. The tradeoff is real. You lose some technical precision in exchange for faster onboarding. For internal documentation where the audience is already familiar with the basics, the literal version is usually better. For onboarding docs, release notes, or help articles aimed at new users, the figurative version pays off more often than not.

Quick Reference for Implementation

I keep a simple checklist when reviewing any document that uses figurative language. First, is the comparison grounded in something the target audience actually knows? Second, does the analogy break down at any point, and if so, is that breakdown called out? Third, does the figurative passage add information that the literal text doesn't already convey? If the answer to any of these is unclear, rewrite it or cut it. It's faster to edit a paragraph than to go back and fix misunderstandings in support channels later. The approach I described here handles the vast majority of documentation use cases. There are edge cases where neither literal nor figurative language is the right tool — crisis communication and incident reports are two of them. In those situations, direct statements without comparison are usually what readers need, even if the writing feels flat. Flat is fine when the goal is clarity under pressure.