Cutting Jargon & Fluff
Every unnecessary word in a technical document is a tax on the reader's attention. Readers have finite cognitive bandwidth. Jargon they do not understand and filler words that carry no meaning both consume that bandwidth without delivering value. Clear technical writing means saying what you mean in the fewest words that preserve the full meaning.
This is not about dumbing things down. It is about respecting your reader's time and attention by removing everything that does not serve them.
Jargon vs. Technical Terms
There is a critical distinction between jargon and technical terms. Technical terms are precise vocabulary that your audience understands. Jargon is vocabulary that sounds technical but either your audience does not know it or it obscures rather than clarifies.
Technical term (to a backend engineer):
"The service uses gRPC with protobuf serialization."
This is precise. The audience knows exactly what it means.
Jargon (to a product manager):
"The service uses gRPC with protobuf serialization."
Same sentence. Now it's jargon because the reader doesn't
know these protocols and the terms block comprehension.
Translation for the product manager:
"The services communicate using a high-performance protocol
that reduces data transfer size by about 40% compared to
our current approach."
The word itself is not the problem. The mismatch between the word and the reader is the problem. "Kubernetes pod" is a precise, efficient term when your reader is a platform engineer. It is impenetrable jargon when your reader is a finance director reviewing infrastructure costs.
The rule: use technical terms freely when your audience knows them. When your audience might not know them, either replace them with plain language or define them on first use.
Defining on first use:
"The service runs in Kubernetes pods (isolated containers that
the platform manages and scales automatically). Each pod handles
up to 500 concurrent connections."
Once you have defined a term, use it freely for the rest of the document. You do not need to define it every time. But that first definition is essential for readers who do not share your vocabulary.
Corporate Fluff & Buzzwords
Some writing sounds impressive while saying nothing. This is corporate fluff — language that fills space without delivering information.
Fluff:
"We need to leverage our existing synergies to optimize
throughput and drive alignment across cross-functional
stakeholder groups."
What it actually means:
"We need to make the system faster. This requires
agreement between three teams."
Buzzwords are the building blocks of fluff. They are words that sound substantive but have been diluted through overuse to the point where they mean almost anything:
Buzzword What you probably mean
"leverage" "use"
"synergy" "cooperation" or "combined benefit"
"optimize" "improve" or "make faster"
"scalable" specific: "handles 10x current load"
"robust" specific: "recovers from X failures"
"alignment" "agreement"
"holistic" "complete" or "considering all parts"
"paradigm shift" "change"
"ecosystem" "set of tools" or "community"
"best practices" specific: name the actual practices
"world-class" (delete — it means nothing measurable)
"cutting-edge" (delete — it means nothing measurable)
The test for buzzwords: if you replaced the word with its plain-language equivalent, would you lose any actual information? If not, use the plain version.
"Robust" is a particularly insidious buzzword in engineering. It sounds technical. It feels like it means something specific. But what does "a robust system" actually tell the reader? Nothing concrete. Instead: "The system recovers automatically from single-node failures and tolerates up to 30 seconds of network partition without data loss." That is specific. That a reader can evaluate.
Filler Words to Kill
Filler words are the verbal tics of writing. They sneak in because they are how we talk, but they add no meaning on the page. Train yourself to spot and delete them:
"very" — Delete it. "Very fast" is not faster than "fast."
Use a more precise word: "sub-millisecond."
"really" — Same as "very." Delete.
"basically" — If it's basic, the reader will see that. Delete.
"actually" — Usually signals surprise on the writer's part.
The reader doesn't need your surprise. Delete.
"quite" — Vague qualifier. Be specific instead.
"somewhat" — Either it is or it isn't. Be specific.
"fairly" — Same problem. Quantify instead.
"just" — Rarely needed. "Just restart the service" works
fine as "Restart the service."
"simply" — Often condescending. What's simple to you may not
be simple to the reader. Delete.
These words are rhetorical padding. They slow the reader down without adding information. A single editing pass focused only on these words will tighten any document.
Before:
"The system is actually very reliable and basically handles
most failures quite well. It's really just a matter of simply
configuring the retry policy."
After:
"The system handles most failures well. Configure the retry
policy to match your availability requirements."
Word count: 28 reduced to 16. Information preserved: all of it.
Inflated Phrases
Beyond individual filler words, there are multi-word phrases that can be compressed without losing meaning:
Inflated Compressed
"in order to" "to"
"due to the fact that" "because"
"at this point in time" "now"
"in the event that" "if"
"has the ability to" "can"
"in the process of" "currently" or just use "-ing"
"a large number of" "many"
"the vast majority of" "most"
"on a daily basis" "daily"
"in a timely manner" "promptly" or "quickly"
"with regard to" "about" or "regarding"
"in terms of" "in" or "for"
"it is necessary to" "you must" or "we must"
"make a decision" "decide"
"conduct an investigation" "investigate"
"perform an analysis" "analyze"
"provide a description of" "describe"
Each inflated phrase replaces a simple word with a bureaucratic construction. They accumulate. A paragraph with five inflated phrases is noticeably harder to read than one using their plain equivalents.
Before:
"In order to conduct an investigation into the root cause, it
is necessary to perform an analysis of the log files on a daily
basis until such time as the issue is identified."
After:
"To find the root cause, analyze the log files daily until you
identify the issue."
Word count: 35 reduced to 15. Same meaning. Half the reading time.
The "So What?" Test
After writing a sentence, ask "so what?" If the sentence does not survive the question, it is probably fluff.
"Our team has extensive experience with distributed systems."
So what? What does this mean for the reader?
Better: "Our team has operated distributed systems at 10,000
requests per second for three years. We've handled two major
outages and improved our uptime from 99.9% to 99.99%."
Now the reader has something concrete to evaluate.
Sentences that describe qualities without evidence are almost always fluff:
Fluff:
"This is a high-quality, enterprise-grade solution."
Specific:
"This solution passes all 847 integration tests, handles
5,000 concurrent users, and has maintained 99.95% uptime
over the past 12 months."
Adjectives without evidence are opinions. Data is persuasion.
When Jargon Is Right
Not all jargon cutting is good. Sometimes the "plain language" version is longer, less precise, and more confusing to the audience that will actually read the document.
For a team of database engineers:
Bad: "The data storage system's method of ensuring that
multiple copies of data remain consistent across
different physical locations..."
Good: "The replication strategy's consistency guarantees..."
The jargon version is shorter, more precise, and instantly understood by the intended audience. Replacing it with plain language insults the reader and wastes their time.
The decision tree:
- Does my audience know this term? If yes, use it.
- Is this term more precise than the plain alternative? If yes, use it and define it on first use.
- Is this term just making me sound smart? If yes, cut it and use plain language.
The third case is the one to watch for. Engineers sometimes use unnecessarily complex vocabulary to signal expertise. "We utilized a heuristic-based approach to dynamically optimize resource allocation" is an engineer trying to sound impressive. "We built a system that automatically adjusts server capacity based on traffic patterns" is an engineer communicating clearly.
Editing for Concision
Cutting jargon and fluff is primarily an editing activity. Do not try to write perfectly clean first drafts. Write freely, then edit ruthlessly.
A practical editing process:
Pass 1 — Cut filler words. Search for "very," "really," "basically," "actually," "just," "simply," "quite," and delete them. Check whether any meaning was lost. It almost never is.
Pass 2 — Compress inflated phrases. Look for "in order to," "due to the fact that," and their cousins. Replace with their one-word equivalents.
Pass 3 — Challenge jargon. For each technical term, ask: does my reader know this? If uncertain, either define it or replace it.
Pass 4 — Apply the "so what?" test. Read each paragraph and ask what concrete information it delivers. If a paragraph says "this is important" without explaining why with specifics, either add the specifics or cut the paragraph.
Before all passes:
"It is important to note that in order to basically optimize
the overall system performance, we actually need to leverage
a really robust caching strategy that is quite scalable and
utilizes the existing infrastructure synergies."
After pass 1 (cut filler words):
"It is important to note that in order to optimize the overall
system performance, we need to leverage a caching strategy that
is scalable and utilizes the existing infrastructure synergies."
After pass 2 (compress phrases):
"To improve system performance, we need a scalable caching
strategy that uses the existing infrastructure."
After pass 3 (challenge jargon):
"To reduce response times, we should cache frequent database
queries using the Redis cluster we already run."
After pass 4 (so what?):
"Caching frequent database queries in our existing Redis cluster
will reduce p95 response times from 800ms to under 200ms."
Word count: 44 reduced to 17. The final version is specific,
actionable, and measurable.
Concision in Different Contexts
Slack messages and chat. Concision matters most here. People scan chat. Get to the point in the first line. Put details after.
Verbose: "Hey, so I was looking at the dashboard this morning
and I noticed that there seems to be something going on with
the error rates — they look like they might be a bit elevated
compared to what we normally see. Just wanted to flag it."
Concise: "Error rates are up 3x since this morning. Dashboard
link: [url]. Investigating now."
Code comments. Comments should explain why, not what. If the code needs a comment explaining what it does, the code should be rewritten to be clearer.
Fluff comment:
// This function is used to process the data
Useful comment:
// Retry with backoff because the upstream API rate-limits
// at 100 req/s and returns 429s without a Retry-After header
Error messages. Users see these. Clarity is paramount.
Bad: "An error occurred while attempting to process your
request. Please try again later."
Good: "Could not save your file. The server is not responding.
Try again in a few minutes, or contact support if this
continues."
Common Pitfalls
Confusing brevity with clarity. Cutting too many words can make writing ambiguous. "Use cache" is brief but unclear. "Cache database queries in Redis" is concise and clear. The goal is removing words that add no meaning, not removing all words.
Removing terms your audience actually needs. If you are writing for database engineers, do not replace "B-tree index" with "a way to organize data for fast lookups." Know your audience and preserve the terms they expect.
Being inconsistent with terminology. Pick one term and stick with it. Do not alternate between "server," "instance," "node," and "machine" for the same thing. Consistency aids comprehension. Variation creates confusion.
Over-editing to the point of losing your voice. Technical writing should be clear, not robotic. Some personality in your writing is fine. The goal is to cut waste, not to produce assembly instructions.
Not editing at all. Most fluff survives because the writer never did an editing pass. First drafts always contain filler. Build editing into your process. Even five minutes of focused cutting improves a document significantly.
Key Takeaways
- Technical terms are precise vocabulary your audience knows. Jargon is vocabulary that blocks comprehension. The difference depends entirely on the reader.
- Kill filler words: "very," "really," "basically," "actually," "just," "simply." They add nothing. Search for them and delete them.
- Compress inflated phrases: "in order to" becomes "to," "due to the fact that" becomes "because." One word beats five when the meaning is the same.
- Apply the "so what?" test. If a sentence does not survive the question, it is fluff. Replace vague claims with specific evidence.
- Editing for concision is a multi-pass process. Cut filler, compress phrases, challenge jargon, and test each paragraph for concrete value.
- Concision is not brevity. The goal is removing words that add no meaning, not reducing word count for its own sake.