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

A major challenge in Localization is defining quality. There's confusion around perceived quality, linguistic/grammatical quality, and clients' tolerance for low-quality translations. Some clients accept minor errors, while others are horrified by poor translations on product labels.

Models like J2450, LISA, and TAUS measure quality but often don't convince product owners or teams to support localization programs. Localization teams focus on quality, while product teams focus on revenue and user engagement.

User feedback can align both teams. Poor feedback can jeopardize a product's future, but explaining how poor linguistic quality impacts long-term growth is challenging. Gathering feedback from international users is crucial for aligning goals.

Analyzing feedback is often overwhelming due to the volume and qualitative nature of the data. Feedback comes from various channels, requiring careful reading and interpretation.

ChatGPT can help by automating and streamlining feedback analysis. It handles large volumes of feedback, interprets qualitative data, filters noise, and bridges language barriers, leading to actionable insights and better decisions.

Ever found yourself juggling the complexities of localization solo?

What happens when the need for expansion knocks on your door? It's time to build your tribe!

This blog post covers the phases of transitioning from a one-person localization department to a functional localization team. From pitching the need for expansion to laying the foundations for continuous improvement,

 Chain of Thought (CoT) Prompting is a method in AI models like ChatGPT that breaks down questions into smaller, logically ordered sub-prompts. This step-by-step approach helps the AI generate more accurate and coherent responses, making its reasoning transparent and easier to trust. Among the different CoT techniques, the Zero-Shot Chain of Thought is my favorite.

Every decision a team makes affects not only a digital product's accessibility but also how easily it can be adapted to different markets. Therefore, everyone involved in creating software can help improve both accessibility and localizability. Accessibility is a core consideration in software development and must be integrated into the entire process. The same applies to localization. The best time to consider localization is during the product's ideation phase. The sooner we start thinking about adapting experiences for different markets and making the product usable for as many people as possible, the better. Taking advantage of this week's Accessibility Awareness Day, this post explores how accessibility and localization can join forces to remove barriers.