Back in the day, Qualitative research was all about understanding the person behind the responses by watching his actions, behavior, mood, tonality, and other giveaways while talking about specific products and services. We still do it (some of it) but with less dependency on human competence and more reliance on the tools believed to be fast, precise, and less intruding.
In Qual research, most of these tools are used for analyzing data, app testing, and emotion decoding through Artificial Intelligence (A.I.), which can address multiple research studies like UI/UX testing, NPD, product/concept test, etc. While these tools help capture the required details without bias, they still have some limitations.
Typical Qual research is done to understand:
- Human behavior and interaction with various categories (brands/ services/products)
- Trends and impact
- Product and concept evaluation
- Segmentation (Pen portraits)
- U&A
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Researchers apply various approaches to meet the objectives depending on the overall scope of the research project. However, basic principles like the need to be an open-ended, free-flowing discussion to gain in-depth knowledge and reasons for a particular behavior or response and generate actionable insights stay the same.
These days, technology is helping make research much more accessible and cost-effective for brands, but it is yet to be seen if it serves the intended purpose.
Before the pandemic, online interactions were not a preferred research methodology for most brands as they offered a different experience than face-to-face interaction and were considered an ‘optional methodology.’
However, the pandemic changed that as there was no option other than doing online research and gradually posting using an online methodology for various research activities. Brands found it to be both cost and time effective. With this began the race for offering/ innovating several tech/ tools to enable Qual research to deliver insights irrespective of situational limitations. There are hundreds of ‘tech research agencies/boutiques’ currently offering various tech solutions like UI/UX, Neuro, A.I.-enabled analysis (from transcriptions/ recording), and emotion decoding tools, and a considerable amount of R&D is already happening in this area.
These tools are certainly helpful in today’s era when not just research but the overall ecosystem is evolving, and tech has become the backbone of any new venture. There are so many start-ups today, and India has emerged as one of the growing ecosystems for start-ups; currently ranked third globally with over 77,000 start-ups, this number is growing yearly.
Most start-ups are tech-based and have apps for better user experience, easy access to data, and increasing adoption rate of new services and products.
Most of these start-ups utilize research to get feedback on UI/UX and check what can be improved to provide a better experience and increased engagement. A few years back, researchers typically carried out these research activities at a CLT set-up with a couple of cameras. Still, now this can be done on mobile phones using another platform (app) for decoding user interaction with the app to be evaluated.
Tech has helped explore new avenues and reshape old methodologies like G.D.s, Ethnos, and diary placements. Now, online methods are used widely, and it is still to be seen whether this phenomenon will stay.
While online methods have certain limitations, like missing the human connection —one of the basics of any Qual research, there are certain aspects wherein technology is not as helpful or hasn’t yet been developed to cater to those needs in terms of tech evolution / A.I.
But there are certain spheres wherein technology has worked brilliantly for multiple reasons.
India is extremely tech-friendly.
Most of the brains in the tech world are from India, and we indeed take pride in saying that. People in India are curious and open to using new technology in every sphere of their life —be it a smartwatch, smart T.V., payment apps, food ordering apps, health trackers, cab booking apps, or high-end technology like smart homes or A.I. technology. With a growing number of start-ups, a young workforce, and evolving technology, end users prefer new tools and products for better, unbiased, and faster results. However, cost efficiency is still a grey area that will also be addressed as time goes by.
Learn more about how to develop a market entry strategy for India here.
It helps understand the customer.
Marketers want to know their customers better to increase sales and saliency through precise and tailored communications.
Brands track data to get a complete understanding of their potential customer and offer relevant products/services. This helps close the “say-do” gap, and layering this with specific Qual interactions helps in a deeper understanding of this behavior.
It is cost-effective.
Though using technology for online interactions, mobile or digital diaries, and online communities is more economical than face-to-face interactions, other dimensions like UI/UX tools and analysis tools are still expensive, and only a few agencies offer integrated solutions. This area will undoubtedly see many innovative solutions that address issues cost-effectively in the coming years.
It removes bias and is more credible and faster.
Using apps/ tools/ tech for capturing and analyzing data adds credibility and saves time. Respondents can upload pictures/ videos in real-time and share their stories with a broader group or in a one-to-one setting. Less human intervention removes bias, and data output can be visualized in multiple ways per the client’s requirement.
Though there is nothing wrong with moving ahead with time, there are pros and cons of using technology for Qual research. It remains to see what else tech can add to understand human beings better, as Qual research is not just about evaluation but also about understanding the subject more deeply. Face-to-face interactions help form a temporary bond and comfort level wherein respondents share much information about themselves, their family, occupation, finances, and buying behavior, which is a shortfall when it comes to online interactions or using any tool/tech.
Tech can be an enabler but not a tool to understand human emotions through superficial levels. We can decode a few things like facial emotions and System I/II responses, but a deep and detailed understanding of a particular human being would always require human intervention. It is yet to be seen how much more we can do with ever-evolving technology and how it can impact the market research ecosystem. But one thing is certain: traditional Qual is here to stay as no amount of technology can completely replace human-to-human interaction and understanding, at least not in the near future.
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