Precise Technical and Professional Vocabulary
How to describe systems, decisions, and trade-offs precisely — the vocabulary that makes technical English credible.
Technical English fails not through wrong grammar but through vague verbs. "We made the system better" and "we reduced query latency by 40%" describe the same work with very different credibility.
Verbs that carry technical weight
| Vague | Precise |
|---|---|
| make faster | optimise, accelerate, streamline |
| make smaller | reduce, compress, consolidate |
| fix | resolve, patch, mitigate |
| change | refactor, migrate, restructure |
| check | validate, verify, audit |
| set up | configure, provision, deploy |
| join together | integrate, consolidate, merge |
| find the cause | diagnose, trace, isolate |
We isolated the bottleneck and refactored the query layer.
Describing trade-offs
Technical discussion is largely about trade-offs, and English has fixed language for it:
- There's a trade-off between speed and accuracy.
- We prioritised reliability over raw performance.
- That approach scales better, but at the cost of complexity.
- It's a reasonable compromise given the constraints.
- The downside is that it adds a dependency.
Hedging technical claims
Overclaiming damages credibility with technical audiences. Precision includes precision about certainty.
- This should reduce load significantly. (expected)
- It appears to be a race condition. (probable, not confirmed)
- We suspect the issue originates in the cache layer.
- As far as we can tell, the data is consistent.
Compare the overclaim: This will definitely fix it. Rarely justified, and expensive when wrong.
Explaining cause
- The failure stems from an unhandled edge case.
- This was triggered by a schema change.
- The root cause turned out to be a timeout setting.
- These issues are symptomatic of a deeper design problem.
Quantifying
Vague quantification undermines otherwise good technical English.
- ❌ It got a lot faster.
- ✅ Latency dropped from 800 ms to roughly 200 ms.
- ✅ That's an improvement of around 75%.
- ✅ Error rates fell by an order of magnitude.
Try it yourself
The quiz below rewards precision and appropriate hedging over impressive-sounding vagueness.