introducing our Qualitative Research SOlution

Qualitative Research in Minutes Not Days- Supercharged Through AI,

Controlled by You

Fully control your qualitative research and enhance your own experience and knowledge by enabling AI as your supportive assistant. 

Make your market research easier, analyse deeper, search faster and better understand your qualitative research data by supplementing studies with AI.

Qualitative Research in Minutes Not Days- Supercharged Through AI

A game-changer at every step of the process

AI Qualitative Research Assistant MethodsAI Qualitative Research Assistant Methods

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Quals AI is a Revolution in Qualitative Research

Quals AI serves as an advanced AI-driven research suite, empowering brands to seamlessly engage in online interviews with consumers. The tool can not only automate interviews and conversational methods and moderation, but also conducts in-depth analysis of the gathered data, delivering comprehensive insights derived from the study discussions.

Deploy and run in-depth market research interviews within 24 hours by using our unique solution, Quals AI incorporates AI into your qualitative research to improve efficiency, objectivity, and depth of consumer insights.

Simple

Researchers work smarter with qualitative research by supplementing their experience with AI.

Faster

Stay in full control, work faster and more efficiently with near-instant results, real-time insights and responses.

Global

Overcome language and culture barriers with AI-assisted interviews to support researchers and remain accurate.

Create and Deploy Your Qualitiative Research Study in Minutes

Qualitative Research Steps One

Explain Your Objective

A short brief explaining what you wish to learn from this qualitative study

Ai Suggests a Moderation Guide

An Interview guide based on your objectives
Qualitative Research Steps Two
Qualitative Research Steps Three

Target Audience

Explain your demographic and some persona criteria

AI Run Qualitative Research Conversations

Using artificial intelligence, Quals AI runs the conversations with human respondents
Qualitative Research Steps Four
Qualitative Research Steps Five

Witness The Business Insights

Results and responses from the in depth interview are generated in real-time and an Executive Summary states opinion and objective goals

Dig Deeper with Additional Perceptions

See specific responses and key insights and harness AI to re-analyze responses for further understanding
Qualitative Research Steps Six
QualS AI

Example Qualitative Research Markets

FMCG
Retail
Food Industry
Marketing
Startups

FMCG Qualitative Research

Quals AI augments FMCG qualitative research by automating data analysis, extracting meaningful patterns from vast datasets, and uncovering nuanced consumer insights swiftly. Machine learning algorithms decode consumer behaviours, preferences, and perceptions, enabling FMCG brands to refine strategies, optimise products, and stay ahead in a dynamic market landscape with precision and efficiency.
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Retail Qualitative Research

Quals AI transforms retail qualitative research by automating analysis of consumer behaviours and preferences, providing nuanced insights. Machine learning algorithms decode vast datasets, enabling quick identification of trends and patterns. This accelerates decision-making, ensuring retailers stay agile, responsive, and strategically aligned with evolving consumer expectations, fostering a competitive edge in the retail landscape.
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Food Industry Qualitative Research

In the food industry, AI enhances qualitative research by analysing vast datasets to decode consumer preferences, behaviours, and trends swiftly. Machine learning algorithms provide detailed insights, accelerating product development, refining marketing strategies, and ensuring food businesses stay attuned to dynamic market demands, fostering innovation and strategic decision-making.
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Marketing Qualitative Research

Quals AI revolutionises marketing and advertising qualitative research by swiftly analysing vast datasets to decode consumer behaviours, preferences, and perceptions. Machine learning algorithms extract valuable insights, enhancing ad content, optimising strategies, and ensuring brands stay ahead in a dynamic market landscape with precision and agility.
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Startups Qualitative Research

Quals AI elevates startup qualitative research by automating data analysis, swiftly decoding consumer insights, and providing nuanced understanding of market dynamics. Machine learning algorithms accelerate decision-making, refining strategies and ensuring startups stay responsive and innovative in the competitive landscape, fostering a foundation for sustainable growth and success.
Learn More
QualS AI

Example Qualitative Research Markets

FMCG
Retail
Food Industry
Marketing
Startups

FMCG Qualitative Research

Quals AI augments FMCG qualitative research by automating data analysis, extracting meaningful patterns from vast datasets, and uncovering nuanced consumer insights swiftly. Machine learning algorithms decode consumer behaviours, preferences, and perceptions, enabling FMCG brands to refine strategies, optimise products, and stay ahead in a dynamic market landscape with precision and efficiency.
Learn More

Retail Qualitative Research

Quals AI transforms retail qualitative research by automating analysis of consumer behaviours and preferences, providing nuanced insights. Machine learning algorithms decode vast datasets, enabling quick identification of trends and patterns. This accelerates decision-making, ensuring retailers stay agile, responsive, and strategically aligned with evolving consumer expectations, fostering a competitive edge in the retail landscape.
Learn More

Food Industry Qualitative Research

In the food industry, AI enhances qualitative research by analysing vast datasets to decode consumer preferences, behaviours, and trends swiftly. Machine learning algorithms provide detailed insights, accelerating product development, refining marketing strategies, and ensuring food businesses stay attuned to dynamic market demands, fostering innovation and strategic decision-making.
Learn More

Marketing Qualitative Research

Quals AI revolutionises marketing and advertising qualitative research by swiftly analysing vast datasets to decode consumer behaviours, preferences, and perceptions. Machine learning algorithms extract valuable insights, enhancing ad content, optimising strategies, and ensuring brands stay ahead in a dynamic market landscape with precision and agility.
Learn More

Startups Qualitative Research

Quals AI elevates startup qualitative research by automating data analysis, swiftly decoding consumer insights, and providing nuanced understanding of market dynamics. Machine learning algorithms accelerate decision-making, refining strategies and ensuring startups stay responsive and innovative in the competitive landscape, fostering a foundation for sustainable growth and success.
Learn More
QualS AI

The Benefits of Using AI in Market Research

Time Efficiency

Quals AI enables the set-up and deployment of a qualitative research study in minutes, Using artificial intelligence, Quals AI handles data collection, analysis, and interpretation, leading to a substantial reduction in the time required for research. Automated methods empower researchers to concentrate on extracting meaningful insights from the data, freeing them from manual tasks.

Scale and Reach

AI allows for the scalability of qualitative research, enabling additional analysis of datasets by asking more precise questions. This ability to use AI for asking additional questions from existing results provides a more comprehensive understanding of the target audience or subject.

Cost Savings

By automating tasks such as interviewing, transcription and initial data analysis, AI helps minimise the need for extensive human labour, resulting in cost savings for qualitative research projects. With the additional benefit and ability to revisit respondents answers, you can ask more specific questions instead of starting a new qualitative research study.

Consistency & Objectivity

AI ensures a consistent approach to data analysis, reducing the risk of human biases. Quals AI drives automated processes to follow predefined rules, within defined parameters and stays relevant and on topic, which enhances the objectivity and accuracy of the research findings.

Real-time Feedback

AI facilitates the generation of real-time insights, enabling researchers to adapt their approach or delve deeper into specific areas of interest promptly, even adapting and developing the research study during the action phase. AI delivers the responsiveness to enhance the agility of qualitative research studies.

Participant Engagement

Quals AI enhances the user experience by incorporating interactive elements such as chatbots to interviews. This allows respondents to complete their study collection at a convenient time suitable to them, when they can focus on their responses. Quals AI and our technology-driven engagement leads to more candid and detailed responses from participants.

Achieve Market-Leading Qualitative Findings

Quals AI integrates AI into your qualitative research processes to produce market leading studies. Improve your research methods and enhance your efficiency, objectivity, and overall depth of insights. These benefits collectively contribute to a more robust and impactful qualitative research experience for organisations across various industries.

Qualitative Research in Minutes Not Days- Supercharged Through AI

Quals AI is not just a tool; it’s a new way of thinking about qualitative research

We’ve created a platform that respects the time and resources of both participants and researchers while delivering in-depth and genuine insights. Our aim is to make qualitative research more accessible, efficient and environmentally responsible.
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Using AI For In Depth Interviews (IDIs)

IDIs In-Depth Interviews For Qualitative Research Using AI
Benefit from advanced AI integrated directly into your In Depth Interviews qualitative research study. AI controls the one-on-one conversations with a participant meaning no dedicated researcher is required. This automated, personalized approach allows for in-depth exploration of opinions, experiences, and attitudes at a convenient time to the participant when they can fully focus on their findings. AI powered IDIs provide rich, nuanced insights, without the need for researchers meaning both time and personnel are saved. Allow Quals AI to streamline your in depth interviews to build an efficient experience valuable for your understanding of complex phenomena and informed decision-making.

Want to Know More?

To learn more about QualsAI, leave us your contact information below. One of our team members will will get in touch with you shortly.

Frequently Asked Questions

What is the difference between quantitative and qualitative research?

Quantitative research involves the collection and analysis of numerical data to identify patterns, relationships, and statistical trends. It employs structured methods such as surveys or experiments with large sample sizes, aiming for statistical generalizability. The results are often expressed in numerical terms, allowing for objective and measurable conclusions. In contrast, qualitative research focuses on understanding the underlying meanings, motivations, and contexts of phenomena. It employs unstructured methods like interviews or observations with smaller, purposefully selected samples. The analysis is interpretive, emphasizing rich descriptions and thematic patterns rather than numerical data. Qualitative research provides in-depth insights into the complexity of human experiences and behaviors, but its findings may be context-specific and less easily generalized. Researchers often choose between these approaches based on their research goals and the nature of the questions they seek to answer.

What are examples of qualitative research?

Qualitative research encompasses various methods designed to explore and understand complex phenomena. One example is ethnography, where researchers immerse themselves in a particular culture or community to observe and document social interactions, behaviors, and rituals. Another method is in-depth interviews, where open-ended questions allow participants to express their perspectives and experiences in detail. Focus groups gather a small, diverse set of individuals to discuss a specific topic, providing insights into shared beliefs and attitudes. Content analysis involves systematically examining texts, such as documents or media, to identify recurring themes and patterns. Qualitative research is valuable for delving into the intricacies of human behavior, attitudes, and social contexts, providing nuanced insights that quantitative methods may not capture.

What is qualitative methodology in market research?

Qualitative methodology in research is an approach that focuses on understanding and interpreting the complexities of human behavior, experiences, and social phenomena. It employs non-numerical data collection methods such as interviews, observations, and content analysis to gather rich, detailed information. The emphasis is on exploring the depth and context of a subject, often allowing for flexible and open-ended inquiry. Researchers using qualitative methodology aim to uncover patterns, themes, and meanings within the data, relying on inductive reasoning to develop theories and hypotheses. This approach is particularly useful when studying subjective aspects of human life, cultural phenomena, or when seeking a deeper understanding of social interactions. The findings from qualitative research contribute to a nuanced comprehension of the studied phenomenon, providing insights that quantitative methods may not capture as effectively.

Why is qualitative research better?

Qualitative research is considered valuable for its ability to provide in-depth, contextualized insights into the complexities of human behavior and experiences. Unlike quantitative research, which focuses on numerical data and statistical patterns, qualitative methods such as interviews, observations, and content analysis allow researchers to explore the richness of meaning and understand the nuances of social phenomena. Qualitative research is particularly well-suited for exploring new or emerging topics, generating hypotheses, and capturing the subjective perspectives of individuals. It offers a holistic view of the studied phenomenon, often uncovering unexpected insights that quantitative approaches may overlook. Additionally, qualitative research is flexible, adaptive, and can be tailored to the unique characteristics of the research context, making it a powerful tool for researchers seeking a deeper understanding of the intricacies of human life.

What are the benefits of qualitative research?

Qualitative research offers numerous strengths, such as its ability to provide rich, in-depth insights into complex phenomena, offering a deeper understanding of social contexts and human experiences. It allows for flexibility in data collection, permitting researchers to adapt their methods based on emerging insights. Moreover, qualitative research is well-suited for exploring new topics, generating hypotheses, and providing a holistic view of a subject. However, human-run studies can have drawbacks that our AI-powered surveys can solve. These human biases include potential biased subjectivity in interpretation, limited generalisability of findings due to smaller sample sizes, and the time-consuming nature of data analysis. Conventional, non- AI driven qualitative research also relies heavily on the skills and expertise of the researcher, introducing a degree of variability in the interpretation of results. Despite these human-centric challenges, the strengths of qualitative research make it a valuable methodology for researchers aiming to explore and comprehend the intricacies of human behaviour and social phenomena.

Who would use qualitative research?

Qualitative research is employed by a diverse range of professionals and researchers across various fields. Social scientists, anthropologists, psychologists, and educators often use qualitative methods to explore the nuances of human behaviour, cultural practices, and learning processes. Market researchers utilise qualitative research to understand consumer perceptions, preferences, and attitudes through methods like focus groups and in-depth interviews. Healthcare professionals may employ qualitative research to investigate patient experiences and perceptions of medical care. Policy analysts may use qualitative methods to gain insights into societal issues and inform the development of effective policies. Essentially, anyone seeking a deep, context-rich understanding of a phenomenon, beyond numerical data, can benefit from the insights offered by qualitative research methodologies.

What is the most common type of qualitative marketing research?

One of the most common types of qualitative marketing research is focus group interviews. In focus groups, a small, diverse group of participants is brought together to discuss and provide feedback on a product, service, or marketing campaign. This method allows researchers to explore consumer perceptions, attitudes, and preferences in a dynamic and interactive setting. Through open-ended discussions facilitated by a moderator, participants can share their opinions, generate ideas, and respond to each other's perspectives. Focus group interviews offer marketers valuable qualitative insights into the emotional and social dimensions of consumer behavior, helping to refine marketing strategies, identify product improvements, and enhance overall brand perception.

What are most qualitative researchers interested in?

Qualitative researchers are typically interested in exploring the depth, context, and nuances of human experiences, behaviors, and social phenomena. They seek to understand the subjective meanings people attribute to their lives, interactions, and environments. Topics of interest can range from cultural practices and individual perspectives to organizational dynamics and societal trends. Qualitative researchers often employ methods like in-depth interviews, participant observations, and content analysis to gather rich and detailed data that goes beyond numerical measurements. Their goal is to uncover patterns, themes, and underlying meanings within the data, contributing to a holistic understanding of the studied phenomenon. The insights generated from qualitative research are valuable for informing theories, shaping policies, and providing a deeper comprehension of complex human aspects that quantitative methods may not fully capture.
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Our mission is to support researchers by supplementing their qualitative research with AI to be faster, more accurate and more efficient

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