Frequently Asked Questions

Ayojit Intelligence provides research methodology consulting, academic writing support, knowledge documentation systems, and educational content publishing. Our services are designed for students, postgraduate researchers, academics, and professionals who require structured, evidence-based guidance.

Contact us via the enquiry form at /contact/ or email consult@ayojitintelligence.com with a brief description of your research context, the type of support you require, and your timeline. We will respond within 2 business days.

Yes. We provide structured guidance on research design, methodology chapter development, literature review architecture, and academic writing. We do not write dissertations on behalf of students — our role is to build the frameworks and capabilities that allow you to produce rigorous, original work.

Consulting fees are determined by scope, duration, and service type. Contact us for a detailed quote based on your specific requirements. All fees are agreed in writing before any engagement begins.

A research method is a specific data collection or analysis technique (e.g., interviews, surveys, regression analysis). Methodology is the philosophical and strategic framework that justifies why those methods are appropriate for your research questions and design. Methodology precedes and governs method selection.

The choice depends on your research question, not your personal preference. If your question asks "how many" or "to what extent," quantitative methods are likely appropriate. If it asks "how" or "why" something occurs, qualitative methods are more suitable. Mixed methods may be appropriate when your question requires both depth and breadth of understanding.

Sample size is governed by your research design, not by a universal minimum number. In quantitative research, adequacy is determined by power analysis. In qualitative research, data saturation — the point at which new data adds no new theoretical insights — is the appropriate criterion. Prioritise sampling strategy over sampling size.

Yes. We use AI tools as part of our content production workflow. All AI-assisted content is subject to expert human review, verification against current evidence, and editorial revision before publication. We publish a full AI Disclosure at /ai-disclosure/.

Our content is published for educational and reference purposes. It must be treated as a secondary source, properly cited, and adapted to your own argument — not reproduced verbatim. Any use in academic submissions is the sole responsibility of the user. See our Academic Integrity Policy at /academic-integrity-policy/.