Describe your research topic and objectives — AI recommends the best methodology with data collection techniques, analysis methods, and sample size guidance.
Choosing between qualitative, quantitative, and mixed methods depends on your research questions, the nature of your data, and what you're trying to discover. Quantitative methods work best when you need to measure, compare, or find correlations. Qualitative methods are ideal for exploring experiences, perceptions, and meanings. Mixed methods combine both when your research has multiple dimensions.
Our AI considers your topic, objectives, and context to recommend the most appropriate approach — along with specific data collection techniques and analysis methods your supervisor will expect to see in your proposal.
Use it as a starting point. Discuss with your supervisor — they may have preferences based on your department's strengths, available resources, or their own expertise.
Yes. It works for sciences, social sciences, humanities, engineering, management, education, health sciences, and more.
Be specific in your input. Mention your theoretical framework or specific analytical goals, and the AI will recommend specific methodologies rather than broad categories.