I set the 'good enough' bar by requiring marketing copy to reflect the product's color-coded status, plain customer-facing language from our glossary, and confirmation in weekly syncs before translation work begins. The rule is simple: only ship copy that describes a feature as live when the roadmap shows green and the wording focuses on user benefit rather than backend state. For example, we shipped a line when Feature X was marked green and the copy said what the feature does for the user. Conversely, we held a claim when Feature X was still yellow and replaced it with "Feature X is being hooked up to work with other programs" until it reached green.
The approach that worked best was defining 'good enough' as a two-tier standard: fluency threshold and functional threshold. Fluency threshold is whether a native speaker would find the text natural and professional -- this is the bar for anything visible to customers. Functional threshold is whether the text is comprehensible and doesn't break the product -- this is the bar for internal tools, error messages, and technical documentation. We set the bar by region and use case, not by a single global standard. Customer-facing marketing text always needs fluency-level localization. Product UI text needs functional-level at minimum, with fluency preferred. Internal tooling can sometimes ship with machine translation if the context makes the meaning obvious. The example of when the bar led us to hold a release: we had a set of onboarding emails for the Japanese market that passed functional threshold testing -- comprehensible, no errors -- but when we showed them to a native speaker on the team, she flagged that the tone was too direct and authoritative for Japanese business culture. The emails were correct but would have damaged our relationship with Japanese customers. We held them, got a native reviewer, and relocalized. That reinforced that functional correctness is necessary but not sufficient for customer-facing text. The example of when we shipped: we had error messages for a payment failure state that were machine-translated into French. They weren't elegant French, but they were unambiguous about what had happened and what the user needed to do. We shipped because the functional bar was met and the alternative was no information at all, which was worse for the user.
The quality that must be achieved within a context to be considered acceptable is determined by the cost of making a mistake rather than the quality of the text. When we are delivering rapid updates to product content (ie, strings) we assess every string for its risk. For example core transactional flows (ie checkout and security settings) have the highest need for clear understanding with no ambiguity to the same degree as a person who is a native speaker of the language in question; because when the user misunderstands the function, they can be harmed as a result of their misunderstanding. On the other hand, non-essential UI elements (ie secondary tooltips) need only pass a "functionally adequate" exam to allow delivery at speed. In one case we had to hold up a release for a button's update because the text version (translation) was grammatically correct but had a major problem with its meaning (ambiguity) as related to currency; which posed a potential risk to users for making real money mistakes. On the opposite side of the example we have also delivered dashboard updates (minor grammatical errors) but were more concerned with getting the features to market as quickly as possible, because our internal users placed greater value on functionality than syntax. Identifying how to strike the balance between the need for rapid delivery and accurate delivery is done by placing emphasis on clarity to the end-user rather than supporting a consensus on style. Solving a user's problem today is of greater value than a highly polished version of the same solution at a later date.
Since the 80/20 approach is always the best way to go, we are using it here as well. We consider a text "good enough" if it is correct and, broadly speaking, matches the user's intent. With this approach, we ship most projects, not just the ones moving fast. If the text is correct and understandable, it normally already works for the product or campaign. One thing we avoid is over-editing language while the USP, core talking points, and communication styles aren't clear. One example was a set of landing pages for money keywords that we shipped from German to English. The English version wasn't perfect, but it was clear and good enough to start sending traffic to. After that, we reviewed SEO rankings and user behavior and adjusted the text accordingly.
My "good enough" bar for publishing a product evaluation on WhatAreTheBest.com is cited evidence in at least four of six scoring categories. Waiting for perfect evidence across all six categories means some pages never ship. Publishing with evidence in fewer than four means the evaluation can't support a meaningful comparison. That threshold came from experience — I once published pages with thin evidence because the template looked structurally complete. The scores looked legitimate but couldn't withstand scrutiny. Now the rule is firm: four categories with citations is the minimum viable evaluation. Below that, the page stays in draft regardless of timeline pressure. The bar has to be specific and numerical. "High quality" is not a shipping criterion. "Four of six categories with cited evidence" is. Albert Richer, Founder, WhatAreTheBest.com
The tension between shipping velocity and localization quality is manageable only when you accept that good enough is not a single standard. It varies by text type, user exposure and consequence of error in ways that a uniform quality threshold never captures accurately. What I built was a text classification system running parallel to the development pipeline rather than as a gate at the end. Every string entering the localization queue got assigned to one of three categories before translation began. Safety and legal text had no good enough bar below full human review. Core interface and functionality text accepted machine translation with human post editing to a defined error threshold. Marketing adjacent and secondary feature text accepted machine translation with a light fluency check for initial release with improvement scheduled rather than blocking. The instance that validated this framework happened during a compressed release cycle shipping a new onboarding flow across fourteen languages simultaneously. Midway through, human review capacity became constrained and we faced a genuine decision about holding the release or shipping with varying quality levels. The classification made that decision navigable rather than political. We held two strings that described data privacy choices users were making because mistranslation there meant a user consenting to something they had not understood. We shipped everything else because imperfection in those categories meant a slightly awkward sentence scheduled for the next sprint rather than an uninformed user decision. What made that call defensible was that the bar existed before the pressure did. Pre-agreed standards survive release pressure in ways that in-the-moment quality judgments almost never do.
When updates move fast, I set the "good enough" bar by making it process-based, not opinion-based: localized text does not ship until it passes a defined review checkpoint, no exceptions. That checkpoint is there to prevent avoidable regressions, in the same way we treat performance changes before anything touches production. At PageSpeed Matters, we run every optimization through review, and that discipline has helped us keep regressions from sneaking in when timelines are tight. Using that same standard, if a localized line is unclear or inconsistent at review, we hold it until it meets the bar; if it reads cleanly and matches the intended meaning, we ship it.
When updates move fast, setting a "good enough" bar for localized text comes down to asking: does this wording prevent mistakes and protect the customer from confusion? In my line of work, that usually means the message is clear, actionable, and won't lead to a bad decision in an urgent situation. I don't chase perfect phrasing—I make sure the core instruction is unmistakable. I remember updating a same-day service message on our booking page during a cold snap when pipes were bursting all over Atlanta. The draft said "we'll try to arrive today," which felt vague for people dealing with flooding. I held that line and changed it to "call now for same-day emergency dispatch—availability confirmed by phone," because I knew vague wording would cost someone precious time. That decision came from experience—when someone's knee-deep in water, they don't read between the lines. My rule is simple: if a line could cause hesitation or misinterpretation in a real-world scenario, it's not ready. If it clearly tells the customer what to do next and sets the right expectation, it ships.
We use a very simple good-enough bar: if a parent who is new to us can read the line once and know exactly what it means, what they need to do, and why it matters, then we are close. I've held parent-facing wording before when it was technically correct but still too internal or too easy to misread, especially around enrolment or safety, because once a localised line creates doubt you lose trust very quickly. For me, you ship when the text is clear, respectful, and still makes sense in the real community context, not just when it sounds neat to the team.