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The Intersection of AI and Human Expertise in B2B Research
Chad Hinkle

Chad Hinkle
Engagement Manager
Proactive Worldwide, Inc.

Published: April 17, 2024

AI and Human Expertise in B2B Research

As I prepare to speak at the SCIP Intellicon Conference next week, I’ll emphasize how Artificial Intelligence (AI), rather than replacing human roles, is a powerful tool that enhances human capabilities. Much of today’s discourse around AI focuses on its potential to supplant human effort. However, the real power of AI lies in its ability to help us navigate around our inherent biases and blind spots, offering a more comprehensive, unbiased view of the research landscape. Let’s explore this concept together.

A New Era of Market Research is Born

The synergy between AI and human insight transforms the landscape of business-to-business voice of customer market research. This partnership goes beyond the conventional, pushing the boundaries to offer a deeper, more accurate understanding of what the people in your market want and need. Where cutting-edge technology meets deep human experience, a new era of market research is born, presenting a multi-dimensional view of the industry previously thought unattainable.

Revolutionizing Research with AI

AI has fundamentally changed the game for B2B VOC research. Leveraging machine learning and natural language processing, AI introduces a level of efficiency that accelerates the analysis of vast set of survey and interview data. However, the true value of AI lies in its ability to uncover layers within the data, revealing insights and patterns that might remain hidden from the human eye. This capability to provide a more nuanced understanding of what people in your market want and need is crucial. The primary advantages include:

  • Enhanced Data Quality: AI can instantaneously produce transcripts of interviews, meaning a researcher will have the entirety of everything learned in qualitative research put into their analysis.
  • Accelerated Analysis: With AI, the process of dissecting and analyzing data is streamlined, facilitating the quick identification of trends and insights hidden in qualitative and quantitative data.
  • Improved Accuracy: By reducing human error and bias, AI promotes a more objective and consistent approach to analysis.

The Unmatched Value of Human Insight

Despite AI’s impressive capabilities, the unique depth of understanding and strategic insight that human expertise brings to VOC research is irreplaceable. Humans add a layer of contextual knowledge and empathy to the analysis, ensuring that the findings are not just data points but are imbued with real-world relevance and strategic value. Areas where human researchers particularly excel include:

  • Contextual Understanding: Human researchers are adept at interpreting data against emotion, implied meaning, sarcasm, and other oddities of human communication that are difficult for any current AI model to correctly interpret.
  • Intuitive Decision-making: The person using the AI to help them analyze qualitative data has the ability to step back from the data and put together varying pieces of data the AI is not seeing. The human can do this because they have saved their thinking power by using an AI to organize and do a first cut of data analysis.
  • Ethical Oversight: Human researchers ensure adherence to the highest ethical standards, maintaining privacy and confidentiality.

A Practical Example of AI-Human Synergy

The effectiveness of combining AI with human insight can be seen in a recent example of an equipment manufacturer investigating how they could improve their relationship with their dealers. Using a combination of LLMs and AI tools, the first cut data analysis done by the AIs showed eight large themes emerging in the interview and survey data. However, the human analysts and researchers determined that the themes could more accurately be organized into four large themes and that the themes took place at different touchpoints in the relationship between the manufacturers and their dealers. The themes were put into an easy-to-follow timeline for the manufacturer so they could train their people to prioritize these points in their relationship with their dealers. The analysts and researchers were able to verify the themes the AIs had uncovered were accurate and were able to mentally take a step back from the data to put together a compelling plan for the client that fit with the unique culture and dynamics of the client’s company.

Integrating AI and Human Teams

For a successful integration of AI and human research teams, a strategic, thoughtful approach is essential:

  • Define Clear Objectives: Clearly state the research goals and how AI can help achieve them.
  • Cultivate Collaboration: Encourage a culture of open communication and collaboration between AIs and human analysts and researchers.
  • Invest in Training: Equip your team with the knowledge and tools to utilize the strengths of AI effectively.
  • Monitor and Evaluate: Regularly assess the performance and relevance of your AI tools, refining them as needed.

In Summary

The combination of AI and human intelligence in B2B VOC research is not just a trend; it’s a transformative force that redefines how businesses understand their markets. This collaborative model unlocks analytically profound and deeply human-centric insights, paving the way for informed, strategic decision-making. The future of B2B VOC research is collaborative and revolutionary, promising unprecedented opportunities for businesses willing to benefit from this dynamic partnership.

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