Common Localization KPIs pitfalls
We're almost in November, the prelude to the pumpkin world and orange colours. And, of course, Halloween is just around the corner. If we look at Halloween from a cultural perspective, it's an interesting holiday to analyze because it has been gaining popularity in many countries worldwide. Here in Spain, its rise has been unstoppable in the last five years, and now it's rare not to see stores or restaurants decorated with spiderwebs and happy pumpkins.
One of the things that can't be missing during this Halloween season is suspense or horror movies, depending on what your stomach can handle. I'm not a big fan of horror, but jump-scare movies keep me entertained as long as they're not too gory.
This past Friday night, my son and I ordered pizza and watched the movie "Final Destination." It's a two-decade movie, so the special effects leave much to be desired, but it's suitable for watching with your kid. Movies like "Saw" and similar ones are not on my watchlist. Too much gore for me! 😊
The movie starts with an intriguing premise: a small group of people escapes imminent death when the protagonist has a sudden premonition and warns them that they'll all die in a terrible accident. After avoiding the predicted deaths, the survivors are killed one by one in strange accidents caused by an invisible force that sets off complicated chain reactions.
They face numerous challenges and pitfalls, much like us Localization professionals when we try to create Localization KPIs. 😊
The topic of Localization metrics is something I'm passionate about, and, at the same time, it can be frustrating. The passion comes from living in a world where everything is quantifiable. We have more data than ever, putting us in an excellent position to measure the impact of what we do. But just like in the movie "Final Destination," this abundance of data presents many challenges and pitfalls when implementing a Localization metrics ecosystem.
Over the years of measuring and discussing metrics, I've noticed two major pitfalls that stand out above all else. The first one is related to Localization ROI. I won't go into much detail on this topic because it has been extensively discussed by colleagues in the industry, including myself, on this blog. Obsessing over-measuring Localization ROI can lead you down a rabbit hole and might not be the primary conversation you should have with your stakeholders, or at least not the only one.
The other significant pitfall is focusing on tracking effort KPIs and then being unable to "translate" what these effort KPIs mean and explain to the leadership team and product owners how they impact the company and its goals. It's not very useful to measure the quality of a product or the number of words localized if you can't, in the language of senior product leaders (which involves outcome-based KPIs, conversion, revenue, engagement, and so on), explain how you're contributing to the success of the company's product.
So, without further ado, here are some common Localization pitfalls that I consistently encounter, much like that invisible force creating chain reactions chasing the characters in the movie "Final Destination."
Common Localization pitfalls
Localization ROI: Measuring the return on investment (ROI) in localization can be challenging because it's not easy to isolate the impact of localization. I'm still searching for a way to predict ROI. I know how much localization costs, but I'm uncertain about the benefits it will generate. That's because localization doesn't generate direct profits as an activity on its own. Localization helps open up new markets; you're likely to sell more if your product is localized compared to when it's not, as it breaks down the language barrier, which is crucial for monetizing. However, the exact Loc impact is unclear. In the end, localization is just one of the many components a digital product needs to deliver a good user experience. If the localization is excellent, but the product has functional errors, monetization will be challenging. If the functionality is excellent, but the localization is poor, with unclear tutorials and messages, monetization will also be a challenge. Localization contributes to a product's success, but isolating its impact it’s a pitfall, in my opinion.
Effort KPIs: While measuring effort is important, solely focusing on effort KPIs may not reflect the true impact of localization. It's crucial to balance these with outcome-based business KPIs that show the results of that effort. For example, an outcome-based KPI that's very useful is user engagement. We can measure user engagement metrics such as time spent on localized pages, interaction rates, and conversion rates specific to each localized version. This shows how well the localization effort is resonating with users. Other interesting metrics under this umbrella of outcome-based KPIs include Conversion Rates and Customer Retention, to name a few.
Vanity KPIs: Vanity metrics are those that sound impressive but don't provide actionable insights. Measuring metrics just because they sound good, without a clear purpose, can be a pitfall as it doesn't contribute to effective decision-making. Examples of these vanity KPIs can be, for instance, the number of words localized. Saying that we've localized 1 million words might impress, but in reality, it doesn't tell us anything about the impact of localizing those million words on the company.
Too Many KPIs: Having too many KPIs can be counterproductive. It can be overwhelming and make it difficult to focus on the most crucial metrics. Focusing on a concise set of KPIs that align with your Localization objectives is better.
Not Linking KPIs to Company Strategy: Your Localization KPIs should directly tie to your overall business goals. If there's a disconnect between your KPIs and the company goals, it can lead to misaligned efforts. For example, if you monitor KPIs related to social media in localized markets, but social media isn't a focus area for the company, the effort in collecting and analyzing that data isn't an efficient use of our time and effort.
Data Hygiene: Poor data quality or inaccuracies in the data used for KPIs can lead to incorrect conclusions. Ensuring data hygiene is essential to maintain the integrity of your KPIs. Examples of this pitfall include inaccurate translations in Translation Memory or outdated terminology with unreviewed terms, and both are issues related to data hygiene.
Ignoring User Experience: KPIs that don't consider the user experience can be a pitfall. For instance, if you measure translation speed but not user satisfaction, you might miss the main point of why we actually do localization.
Too Much Focus on Cost Metrics: We are obsessed with tracking and reducing costs in the industry. While cost management is undeniably important, overemphasizing it can have several negative consequences. For example, it can lead to limited innovation. Innovative approaches to localization may require a higher initial investment. An exclusive focus on cost reduction can deter a localization team from exploring these creative and effective localization methods.
Summary
Tracking important metrics for our Localization program is incredibly useful for showcasing our Globalization efforts. As the famous project management guru Peter Drucker said, "What gets measured gets improved." However, there are so many things to measure that we can end up getting caught in pitfalls that take us far from where we want to be. Instead of highlighting the impact of what we do, we may end up having conversations that aren't the ones we should be having when explaining how we contribute to the company's growth in international markets. I hope this list serves as a reminder and that we can avoid the "death of pitfalls metrics" 😊
@yolocalizo
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.