How do localization teams prove translation quality to executives?

Quick answer

Localization leaders prove translation quality to executives through three categories of evidence: standardized quality scores that benchmark performance against industry norms, cost data that connects quality investment to financial outcomes, and trend reporting that shows improvement over time. The Multidimensional Quality Metrics (MQM) framework is the industry standard for scoring translation quality. Smartling's LQA Suite with MQM Dashboard and Cost Savings Reports give localization leaders the data to make quality visible and defensible to CMOs, CFOs, and operations leadership.

Why translation quality is difficult to prove internally

Most localization programs do not have a quality problem. They have a visibility problem. When a CMO or CFO asks how good the translations are, the common answer is some version of 'our reviewers say they are good' or 'we have not had any complaints.' These are not business answers. They do not benchmark against industry standards, show improvement over time, or connect quality investment to financial outcomes.

 

What executive stakeholders need to see

 
A score they can benchmark

MQM scoring evaluates translations by error type and severity on a standardized scale. The industry benchmark for traditional human translation is 95 to 97. Smartling's AIHT consistently achieves MQM scores of 98 or above. When a localization leader can cite a score against an external benchmark, executives understand it immediately.

 
Cost data that tells a financial story

Cost Savings Reports showing translation memory leverage rates, repetition savings, and AI translation cost reduction connect quality to financial outcomes. A 50 percent reduction in per-word cost while maintaining quality is a compelling business case.

 
Trend data that shows improvement

MQM dashboards that show quality scores by language pair, content type, and vendor over a quarter or a year demonstrate that the program is improving, not just performing. This is critical when making the case for expanded investment.

When quality reporting to executives is the right priority

Programs preparing a budget proposal and needing to demonstrate ROI on current investment before requesting additional resources.
Teams that have deployed AI translation and need to show leadership that quality has been maintained or improved despite the shift to AI-generated output.
Organizations where translation quality has been questioned by a market team, a customer, or a compliance reviewer, and the localization leader needs documented evidence.
Global programs with multiple language service providers where inconsistent quality reporting makes it impossible to give leadership a coherent picture of program health.

When executive reporting may not be the immediate gap

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Programs in early stages where establishing basic translation workflows and quality processes is the immediate priority before building executive reporting infrastructure.

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Programs where the more pressing need is operational quality improvement rather than reporting on current performance.

Enterprise checklist

  • Does the platform use MQM scoring benchmarkable against the 95 to 97 industry standard?
  • Are quality scores available by language pair, content type, vendor, and workflow?
  • Does the platform provide trend data over time, not only a current snapshot?
  • Does the platform include Cost Savings Reports surfacing TM leverage, repetition savings, and AI cost reduction?
  • Are reports generated automatically rather than requiring manual data assembly?

How Smartling supports executive quality reporting

Help doc: LQA Overview

Help doc: Assess Translation Quality with the LQA Dashboard

 

 

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Smartling's LQA Dashboard, Cost Savings Reports, and MQM trend reporting give localization leaders the standardized, continuous quality data they need to make translation quality visible and defensible at the executive level.
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