In the rapidly accelerating, global economy of today, businesses are venturing beyond their local confines in order to broaden their influence into diverse regions. New territories bring cultural intricacies and linguistic subtleties. Merely knowing a language doesn’t suffice as the connotation of a word is just as pivotal as its denotation. In this context, understanding trumps knowledge - listening to and researching consumers across countries, cultures and languages must encompass color, context, and comprehension.
Navigating consumer research on an international scale can pose considerable challenges. Beyond mere translation of questions and answers, effective strategies require a deep grasp of the target audience's cultural milieu and particular context.
This is where Beehive AI's Qualitative Intelligence platform excels, simultaneously analyzing over forty languages and their cultural subtleties, efficiently.
Inspired by our experience, we present Beehive AI’s three principles of international research.
When in doubt, keep it open-ended
Different localities will have different cultural, social and economic references, e.g. favorite sports, most used social media platforms and social media influencers you follow are a few examples where results will be very different between the US and China. Instead of laboring over coding various closed-ended options, simply ask an open-ended question and let Beehive AI structure the results for you.
Know the culture, not just the language
The foundation of Beehive AI lies in its innovative approach, refining Large Language Models (LLMs) with specific data to enhance the AI's comprehension of context and mimic cultural nuances effectively. Consider the translations of certain terms that might need more context. For example, consider "rugelach," a type of pastry, which in Hebrew Google translated as "your feet". Another instance involves the Portuguese word, "travando," translated as "locking". While this might be accurate according to Google Translate, in a technological context, it is better interpreted as "freezing" or "crashing" (e.g. app crashing/freezes). Such examples underline the importance of reading between the lines when dealing with translations.
You don't have to be local
It used to be that you had to hire a local vendor or someone who knows the local language and culture. With Beehive AI, language and cultural nuances can be analyzed without this need. , Moreover, Beehive AI provides you with the ability to review the results and conduct your analysis in English, thanks to real-time translation in the user interface. This allows you to examine results in either the local language or English, according to your preference.
About Beehive AI
Already used in over 20 countries and processing over 40 languages, Beehive AI is a powerful enabler of large-scale international research. Businesses, irrespective of their size and industry, can leverage this platform to carry out extensive, in-depth research at an unprecedented scale. Gone are the days when gathering and analyzing a vast quantity of data points from multiple countries required massive resources and manpower.
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