AI Qualitative Data Analysis & Collection Platform

Full AI Qualitative Research Platform From Brief to Insights in 24 Hours

Cheaper   |   Faster   |   Deeper Insights

Quals AI offers an easy-to-use, powerful AI qualitative research assistant, on a platform that transforms and simplifies traditional, time-consuming research methods.

Create, run and analyse artificial intelligence AI qualitative research projects to enable researchers to be more efficient. Our AI generated research questions avoid the need to manually code in key themes. You will always get a thorough interview guide to support your research ambitions.

Enhanced machine learning & ai qualitative data analysis tools achieve significant benefits. Time efficiency, cost savings, real-time feedback, and enhanced participant engagement are all easily achieved benefits.

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AI Qualitative Research - How It Works Step 1

1. Brief Your AI Qualitative Research Study

• Gather information and structure the study from a simple outline objective.
• Assistance in the selection of appropriate respondents.
• Test and check your AI Qualitative Research interview flow before launching your project.
AI Qualitative Research - How It Works Step 2

2. AI Assistant Runs Interviews with Target Audience

• A Flexible AI Qualitative Research Assistant runs the interview when convenient to each participant.
• Upload photos and videos to test creative designs or concepts.
• Quals AI controls the interview and knows when to prompt for more insightful answers.
AI Qualitative Research - How It Works Step 3

3. Report Uncovers Insights and Analyzes Collected Interviews through AI

• Summarize and identify themes in real-time from interviews using thematic analysis.
• Quals AI’s ‘SmartAsk’ feature can ask further questions and filter sentiment.
• View summaries and key quotes from interviews and add to an insights report.

Quals AI Qualitative Research Use Cases

Market Validation Qualitative Research Copilot to Embrace AI in Market Research

AI Market Validation

Gain insights to confirm demand and refine product-market fit quickly with AI tools.
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User Experience UX Research Qualitative Research Copilot to Embrace AI in Market Research

UX Research

Gather and analyze user feedback for improving product design and experience using text-based data.
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Sentiment Analysis Qualitative Research Copilot to Embrace AI in Market Research

Sentiment Analysis

Use AI to gauge emotions and opinions from participant feedback for proactive benefits.
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Marketing Qualitative Research Assistant to Embrace AI in Market Research

AI Marketing Research

Learn deep consumer insights from AI-driven strategic decisions and campaign effectiveness.
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Research Agency Copilot to Embrace AI in Market Research

Brand Perception

Explore consumer feedback through AI studies to understand and improve reputation.
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Focus Groups Marketing Qualitative Research Assistant to Embrace AI in Market Research

AI Focus Groups

Streamline with AI-led focus groups to provide deeper insights and efficient data analysis.
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AI Competitor Analysis Qualitative Research Assistant to Embrace AI in Market Research

Competitor Analysis

Uncover strategic insights from consumer feedback and market trends obtained through AI.
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AI Concept Research and Idea Research - Qualitative Research Assistant to Embrace AI in Market Research

Concept and Idea Research

Use AI to gather detailed feedback and insights for better product development.
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AI Qualitative Data Analysis Case Studies

Fashion Quals Case Study


A new French fashion brand undertook an AI Qualitative Research study through Quals AI. They wanted to understand consumer perceptions and behaviours with regards to sustainability in fashion. 


The study showed increasing consumer interest in sustainability, highlighting the need for genuine efforts and transparency from brands. While sustainability influences some purchases, skepticism exists due to “greenwashing.” Preferences include recycled materials, local production, and durable products. Sustainable practices face challenges but are gradually impacting the market.
Full AI Qualitative Research Study
AI qualitative research case study
QualS AI

The Benefits of Using AI Qualitative Research

Time Efficiency

Quickly set up and deploy AI qualitative research automating data collection, analysis, and interpretation, allowing researchers to focus on extracting meaningful insights from textual data.

Scale and Reach

AI Qualitative Research allows for greater scalability in analyzing data, enabling additional analysis of datasets by asking further questions to provide a more comprehensive understanding of the target audience or subject.

Cost Savings

AI automates interviewing, transcription, translation, and initial analysis, reducing human touchpoints and costs. It also enables the revisiting of survey responses to explore further insights.

Consistency & Objectivity

AI ensures consistent data analysis, reducing human biases. Quals AI follows predefined rules within defined parameters, enhancing the objectivity and accuracy of research findings.

Real-time Feedback

Our AI Qualitative Research platform generates real-time insights.  This allows researchers to quickly adapt and deepen their studies, enhancing the agility and responsiveness through AI qualitative research.

Participant Engagement

Quals AI uses interactive AI assistants, allowing respondents to view media and complete studies at their convenience, leading to more candid and detailed responses.

AI Qualitative Research Purpose Built For Agencies and Markets

  • Research Agencies

    AI Qualitative Research helps research agencies save costs, boost revenue, and enhance experiences.
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    Quals AI enables precise, quick insights for agile, strategic decisions through powerful AI qualitative research.
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    Marketing & Advertising

    Automated AI marketing research, enhancing strategies for targeted, impactful campaigns.
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    Quals AI decodes startup data, refining strategies for responsive, innovative, and sustainable growth.
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  • Retail

    Automate retail data analysis, uncovering insights to refine strategies and enhance customer experiences.
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    Food Industry

    Quals AI decodes food industry consumer data, refining strategies and fostering innovation for lasting success.
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    Quals AI Qualitative Research revolutionizes healthcare research with fast, detailed insights into patient experiences.
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Quals AI is more than just a tool. It combines study experience with AI research to provide faster and more insightful results.

We’ve created an AI Qualitative Research 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.

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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