Your team lacks AI skills for market research. How can you equip them effectively?

Start small—give your team one AI tool that eliminates their most boring, repetitive tasks. Try something like MonkeyLearn for automating data tagging or cleaning. Once they see how much time it saves and how it boosts results without extra effort, they’ll be hooked. It’s the “wow” moment—realizing AI isn’t just cool, it’s a game-changer. This spark will motivate them to explore more, learn faster, and deliver better insights with less grind. And once you give them a little taste of what AI can do, they would definitely want to explore more.

Give Dataiku software a try with your team. It's a user-friendly platform that simplifies data processes and integrates AI and machine learning, even if you're not super tech-savvy. Plus, there's a free version you can experiment with without spending a dime. It's a solid pick if you want to start using AI tools and really boost your research game.

Equip your team with AI skills for market research by offering targeted training in AI tools and techniques, such as machine learning, natural language processing, and predictive analytics. Provide access to online courses, workshops, or certifications focused on AI in market research. Encourage hands-on learning through practical projects and collaboration with AI experts. Foster a culture of continuous learning and innovation, ensuring your team stays up-to-date with emerging AI trends and applications.

Las empresas se lanzan a buscar soluciones de IA sin siquiera saber lo que necesitan. ?No debería ser el primer paso sentarse a escuchar a tu equipo antes de imponerles un software o una herramienta externa? La innovación a veces, está dentro, en el talento que ya tienes. No es solo "qué necesitamos" sino "quién dentro de mi equipo ya podría tener la respuesta".

When assessing needs, it is important to keep the messaging around AI to be understandable by non-technical people, and directly tied to benefits in the market research context. That means avoiding buzzwords and technical jargon. In practice, no special skills are needed to use AI tools, as already familiar research tools and platforms are adopting easy to use AI features. What is important though, is understanding of the reliability and actual capabilities of this technology. For example, blindly trusting AI generated analysis is not something researchers should do, so the tools they use need to have a way to verify the results and show the process of how it generated the analysis. As the saying goes, "trust but verify".

To plan AI training for market research, set clear objectives, focusing on mastering relevant AI tools and improving data analysis. Choose suitable training formats, like online courses, workshops, or certifications, and bring in experts for real-world insights. Implement a learning path, breaking training into phases with timelines it gamified to add extra push of competition. Offer ongoing support through mentorship and AI tool access. Finally, evaluate and adjust the program based on feedback to ensure continuous improvement and effectiveness.

This is what we do internally to stay on top of AI + Market research: > Our AI expert, Valentino gives a monthly webinar on the latest trends > New tools get shared internally in our Slack channel > YouTube videos get posted by our team regularly For us, learning is a shared experience!

Todos hablan de "capacitación en IA" como si fuera una varita mágica que solucionará todo. Pero, ?te has planteado si tu equipo realmente necesita entrenarse en todo? Buscaría una consultora que no solo proponga programas de formación extensos y costosos, más bien que pueda crear formaciones a medida con módulos básicos y herramientas fáciles de usar para que puedas empezar a ver resultados más rápidamente. No se trata de ense?arles todo, sino lo esencial. (Recomiendo la consultora Tecnolearning por su flexibilidad, rapidez y personalización)

Provide access to online courses or workshops that cover AI fundamentals, machine learning, and data analysis. Platforms like Coursera, Udacity, and LinkedIn Learning offer relevant courses. Encourage team members to attend industry seminars, webinars, and conferences focused on AI and market research. Use practical, hands-on training to help your team learn how to use AI tools and technologies. This could involve using real market research datasets for practice. Work through case studies and real-life examples of AI applications in market research to illustrate practical use cases and strategies.

La innovación es más una cuestión de actitud que de herramientas. La cultura de innovación no se crea con palabras bonitas ni con talleres motivacionales. Si tu equipo no está dispuesto a aceptar el cambio desde dentro, ningún experto externo podrá forzarlo. Más que imponer una "cultura de IA", deberíamos preguntarnos si nuestro entorno laboral es flexible y adaptable.

True innovation is not the work of a single person, but it comes on top of the shoulders of giants. A culture of learning and trying new things is vital for a company's success. Here is how I promote it: - Reinforce those who shares learning material - Bring them up on meetings as a sign of validation - Lead by example, and share yourself What else do you do for your company?

Nos dicen que invirtamos en herramientas potentes de IA. ?En serio? ?Es eso lo que realmente necesitas, o estás comprando humo? La realidad es que la mayoría de las empresas no sabe ni aprovechar el 20% de las funcionalidades que ofrecen esas soluciones caras. ?Por qué no empezar con herramientas más accesibles, que se adapten a tu equipo en lugar de hacer que tu equipo se adapte a ellas?

Las métricas tradicionales no siempre son útiles cuando hablamos de IA. Muchas empresas miden el éxito de estos proyectos como si fueran campa?as de marketing estándar. Pero aquí está el truco, implementar IA no es un proyecto con una fecha de caducidad. Es un proceso evolutivo. ?Cómo puedes medir lo que no tiene un punto final claro? A veces, el progreso es menos visible pero más profundo.

La famosa "innovación constante" a menudo suena a presión para que las empresas estén siempre a la vanguardia. Pero, ?es necesario estar innovando siempre? ?O es más inteligente saber cuándo pausar, evaluar y consolidar lo que ya funciona? Innovar por innovar puede ser contraproducente. No olvidemos que algunas de las estrategias más efectivas han surgido de saber cuándo frenar y optimizar lo que ya tienes.

We are lucky with staying on top of AI + market research - since that's what we are building ourselves. But, to be an industry leader, you must constantly know what's coming next. So, everyone on our team monitors competitors and industry blogs to spot emerging trends. We also have an internal Slack channel where we share ideas and inspiration. And each Monday, we discuss what came out!