We all talk about the importance of localization metrics, but where do you actually get them?
This question hit me hard during a recent panel, and it made me realize something I had been overlooking.
If you’ve ever struggled to find the right data to prove localization’s value, this post is for you.

Localization has always evolved alongside technology, yet its core principles remain unchanged accuracy, efficiency, and speed. Each major shift, from translation memories to machine translation, and now AI-driven workflows, has sparked the same question: Has localization become an engineering problem? That’s for you to decide. But if you’re ready to embrace this new phase, there are plenty of skills to develop and resources available to help you stay ahead

Certain words in business settings push all my buttons: 'synergies,' 'strategic meetings,' and 'thought leadership.'

The worst offender? Synergy. Lately, though, another term has been creeping up my list: 'educated.' In localization, we often say, 'We need to educate stakeholders.' But do they really want to be educated? No, they want to understand how localization impacts them.

Instead of teaching, we need to translate localization into business value.

Be Careful What You Wish For.

Getting buy-in for localization feels like a big win, until the requests start piling up and it’s impossible to keep up. More teams want your help, more content needs translation, and suddenly, you’re overwhelmed. In this post, I share my experience and the signs that show it’s time to grow your localization team

With tools like LLMs and GPT, we’re at a turning point, and staying curious, planning carefully, and aligning efforts are key. Missing any crucial element could hinder progress. A "slow and steady" approach is essential to navigate the AI wave.

AI is everywhere, and localization teams feel the pressure to "do something with AI." However, without a clear strategy, AI adoption can become an expensive distraction rather than a real value driver. In this post, I explain how to define an AI localization strategy that enhances efficiency, improves quality, and delivers real business impact without just following the hype.

Localization professionals often focus on translation quality and best practices, but decision-makers care about customer impact and revenue. If we frame localization as a cost, it risks being deprioritized. Instead, we must highlight its value driving engagement, trust, and business growth.

Usually, when we want to improve something in our Localization strategy, we first set an ambitious goal. From there, we design a strategy to reach it as quickly as possible. If we don't see rapid changes, we feel like we're not improving. To break this cycle, we can try changing the way we set goals—smaller, but consistent objectives that, when we look back, show us that we are indeed making progress. This progress can be the driving force for us every week, every month, every year.

Here are some ideas on how we could apply this Kaizen methodology in the Localization world.

This blog explores how AI-driven post-editing frameworks, like ChatGPT, can redefine localization quality assurance by providing automated checks, real-time feedback, and prioritization of critical issues. If manual LQA feels impossible in your environment, this post will help you explore actionable AI solutions to bridge the gap.

"The Localization Accountability Ladder" explains how to go from avoiding responsibility to becoming a leader in localization. The blog covers seven simple steps, showing key behaviors, skills, and tasks to help teams improve.

Working with a coach has helped me see the bigger picture, stay focused, and find balance as a leader. I’ve discovered strengths I didn’t fully appreciate, faced blind spots I used to avoid, and learned how to manage stress while staying (kind of) on track with my goals. This post covers all that!

Transitioning from one job to another can be an enriching experience, or it can be a nightmare.

I have detected in my different movements, and after seeing many colleagues making transitions, that there are a series of usually effective tips.

When it comes to offering a customer-centric experience, language, culture, localized pricing, and payment options play a crucial role. Companies aiming to reach a diverse audience can leverage hyper localization as a powerful tool.

Localization is often seen as an afterthought, focused on translating content late in the process. This post looks at how Globalization teams can step in earlier by identifying invisible tasks and using AI tools like to influence decissions from product teams to create products designed for global audiences. It’s about rethinking localization as a strategic partner instead of a support function

In this blog post, I imagine three roles that could become as popular as the Social Media Manager did: AI Workflow Localization Manager, Localization Data Curator  and AI Localization Quality Specialist

These roles blend human expertise with AI, pointing to a future where localization jobs look very different from today.

In this post, I discuss the key indicators that suggest it's time to hire an International Localization Product Manager. Understanding when to bring this role into our team is essential for successfully navigating global markets and securing sustained international growth.

This post explores the key differences between working on the buyer versus the provider side of the localization industry. While there are some tasks common to both, others vary significantly in areas such as people management, operations, strategy, and metrics. The article breaks these tasks into four categories, providing examples for each to highlight these distinctions

While localization fundamentals are the same across software, video games stand out for their unique challenges. There are elements complicated to deal with such as the narrative arc, or syncing voiceovers with character lip movements, timing subtitles perfectly so they appear in the right scene at the right time …

Words have the power to shape perceptions and influence actions, which is why reframing is such a powerful tool. In localization, we can reframe our role from simply translating to driving alignment across the company. By ensuring content is consistent, culturally relevant, and strategically aligned with business goals, localization professionals play a key role in helping businesses grow globally. This post explores how we create that alignment and why our work is much more than just translation.

Post-localization activities are crucial for maintaining high-quality localized content even after a product launch. These include collecting user feedback, monitoring translation consistency, and ensuring legal compliance, all of which aim to improve the user experience. Continuous efforts in localized SEO, metrics tracking, and stakeholder alignment keep your localization strategy strong and relevant across global markets—and this post covers all that!

In this post, I compare the excitement of discovering the internet to the rise of AI in localization today. With tools like LLMs and GPT, we’re at a turning point, and staying curious, planning carefully, and aligning efforts are key. Missing any crucial element, as shown in the infographic, could hinder progress. A "slow and steady" approach is essential as we navigate this change.

Handling feedback like "this translation sounds weird" requires us to be armed with patience and resist the temptation to push back, as we might be labeled as defensive. It’s better to take an analytical approach, as described in this post, and why not use ChatGPT as a friend instead of a threat

In this post, I explore how chatGPT can become your devil’s advocate in localization, helping you challenge assumptions and think beyond the obvious

We’ve all heard the saying that “change is always good,” right? Wrong. We don't like change; we don't like to step out of our comfort, but still, change must happen. I've been studying "Change management and resistance to change" in the last weeks because change is the norm in our #localization industry. In this post, I summarized my learnings so far! I hope you find it useful ☺️

There are many articles about best practices on how to prepare an RFP, but information about how to evaluate them is scarce. This blog post gives a client-side perspective on what areas are important.

Understanding in which areas AI is really powerful, and the ones that a human professional is superior is critical nowadays to maximize our impact and possibilities to stay relevant in the generative content world we are living in nowadays

Consistently posting about our accomplishments on platforms like LinkedIn can quickly become tiresome for others. At the same time, not giving visibility to what we do or achieve can cause our work to go unnoticed, causing us to miss out on certain professional opportunities to advance our careers further.

Several factors affect the duration of localization for a digital product, including translators' availability and the technology setup level. This blog post explores the various elements that impact the amount of time needed for product localization.

I'm passionate about Localization metrics, but it can be frustrating. We live in a data-rich world, allowing us to measure our impact better. However, this data abundance brings challenges when building a Localization metrics system.

In my experience, two main pitfalls emerge (but they are not the only ones 😅). One is overemphasizing Localization ROI, which can lead to unproductive discussions. The other is tracking effort-related KPIs without translating their impact on company success into terms that matter to leadership and product owners.

In this blog post, we explore 3 ideas on how to assess the quality of your localization content with the help of ChatGPT