
Explore market research with ai, designing surveys and conducting qualitative and quantitative user research using ai tools, guided by a food delivery app case study in India.
Explore research as a systematic process of collecting, analyzing, and interpreting information to turn data into meaningful knowledge, using qualitative and quantitative methods, primary and secondary data, with ai support.
Celebrate this milestone in the market research course, join the top 50% of learners, and leverage q&a, ai assistant, english subtitles, playback rate, offline video access, and a certificate.
Explore qualitative research as descriptive, exploratory methods: interviews, focus groups, observation, and case studies to uncover meaning behind data, explain why, how people feel, and how AI accelerates insights.
Learn how quantitative research uses numbers, measurements, and statistics to drive data-driven decisions, underpinned by big data, standardization, objectivity, and statistical analysis.
Explore mixed methods research that combines qualitative and quantitative approaches to reveal richer insights, with AI tools enhancing data collection, analysis, and integration for actionable outcomes.
Leverage AI-powered tools to streamline survey data collection, transcription, analysis, and presentation, using Google Forms, Otter AI, ChatGPT, Grammarly, and Canva charts as your research assistants.
Examine ethical considerations in ai-supported research by highlighting informed consent, transparency, and privacy risks; mitigate bias and ai hallucinations through verification and human oversight.
Explore qualitative research on online food delivery in India with AI and ChatGPT. Conduct interviews and focus groups, transcribe with AI, and extract themes to explain why customers choose apps.
Learn to craft smart, specific questions using the smart framework for online food delivery research, guided by ai prompts to sharpen data collection on discounts, speed, app design, and loyalty.
Learn how to conduct literature research for market research using AI tools like ChatGPT deep research. Craft strong prompts to speed analysis, identify gaps, and validate sources for credible insights.
Explore how AI-assisted literature reviews reveal consumer preferences for online food delivery apps in India, identify gaps, refine research questions, and design mixed-method data collection with ethical integration.
Learn to collect qualitative data for food app adoption by designing open-ended interview questions with AI, conducting 10–15 minute interviews, and transcribing with Otter.ai, then summarize insights using ChatGPT.
Conduct interviews to gather qualitative data using ChatGPT to design open-ended questions, monitor interviews with AI, and generate transcripts and summaries while ensuring consent and ethical data use.
Organize transcripts in ChatGPT to analyze discounts, trust, user experience, and social media influence, group insights by tier one and tier two cities, and create visuals with charts.
Transition from qualitative insights to quantitative measures by turning themes like discounts, trust, ease of use, and peer influence into survey questions and Likert-scale data.
Design and build a quantitative survey using ChatGPT and Google Forms, turning four qualitative themes into measurable Likert-scale questions. Create a four-section questionnaire ready for data collection and analysis.
Analyze survey data with ChatGPT to compute means, standard deviations, and correlations across four themes, compare metro and non-metro responses, and generate an AI-based insights summary for marketing strategies.
Analyze data with ChatGPT to generate charts—demographic overview and metro vs non-metro insights—and build dashboards in Excel, Tableau, or Power BI to present how responders choose a food delivery app.
Celebrate completing the final milestone and earn your certificate; review the course, check missing lectures, mark all as complete, and download your certificate or contact support if issues arise.
If you are a student, researcher, educator, consultant, entrepreneur, or professional who wants to conduct research with clarity and confidence using modern artificial intelligence tools, this course is for you.
This course guides you through the complete research journey—from shaping research questions, to collecting and analyzing data, to communicating insights in a clear and structured way. You will learn how to plan and conduct both qualitative and quantitative research without confusion or overwhelm.
What You Will Learn
By the end of this course, you will be able to:
Understand the differences between qualitative, quantitative, and mixed-method research
Form strong and focused research questions
Explore academic and professional literature and identify key themes
Convert literature insights into a well-structured research design
Prepare and conduct interviews and convert spoken responses into written form
Identify patterns and insights in qualitative responses
Translate qualitative insights into measurable survey questions
Design effective surveys that lead to reliable data
Use artificial intelligence to assist in summarizing and interpreting research data
Create meaningful visual representations to communicate findings
Apply ethical considerations while using artificial intelligence in research
Why This Course Matters
Research plays a central role in decision-making across education, business, healthcare, technology, public policy, marketing, and social sciences.
With the support of artificial intelligence, the process becomes more efficient, structured, and accessible—even for beginners. This course focuses on practical, real-world methods, not complicated theory. No coding background or advanced statistics are required.
If you are ready to conduct research more effectively and present your insights with clarity,
Enroll now and begin your research journey.