AAYAN Management Solutions

01/09/2026

Do you find yourself explaining the same research project to AI again and again?

New chat. Same background. Same methodology. Same instructions. Then another research task—and you start over.

There is a better way to structure the workflow.
Our latest AAYAN World video explores how researchers can use Claude Projects, shared project knowledge and focused chats to keep a research study organized while working on different tasks.

The key idea:
The task changes. The research doesn’t.
🎥 How to Organize Your Research in Claude (Stop Starting Over)

Still opening a new AI chat for every research task—and explaining ...

29/08/2026

Using AI in your research? Should you disclose it?
ChatGPT, Gemini, Claude and other AI tools are becoming part of everyday research. They can help with writing, literature synthesis, coding and analysis — but not every use of AI is the same.

The difficult question is deciding when AI is simply assisting the researcher and when its contribution becomes significant enough to require disclosure, documentation or additional safeguards.

Our latest AAYAN World video explores this increasingly important issue, including responsible AI use, research integrity, confidentiality, verification and the continuing responsibility of the human researcher.

🎥 Using AI in Research: What’s Allowed & What Must You Disclose?

Watch the video and share your perspective: when do you think AI use in research should be disclosed?

Can researchers use ChatGPT, Claude, Gemini and other AI tools in a...

26/08/2026

What makes an indicator actually useful? It is not enough for an indicator simply to look SMART. It needs to measure the right result at the right level and have a clear way of generating credible evidence.

Our new step-by-step video explains how to develop practical M&E indicators—from outputs, outcomes and impacts to SMART checks, baselines, targets, data sources, means of verification and indicator reference sheets.

🎥 How to Develop M&E Indicators | SMART Indicators Step by Step
https://youtu.be/g8cDQTbaGX8?si=WZwwbwW0OxVgAS5I

If you work in M&E, MEL/MEAL, programme management, research or international development, this is a practical guide you can apply to real programmes and projects.

How do you develop M&E indicators that actually measure programme r...

24/08/2026

Don’t just summarize research. Synthesize the evidence. What happens when six studies investigate the same question but reach different conclusions?

Our latest AAYAN World video shows how to move from individual research papers to a defensible evidence synthesis—comparing findings, investigating contradictions, considering evidence quality and context, identifying different types of evidence gaps, and tracing conclusions back to their sources.

It also demonstrates where AI can support the process without replacing methodological judgement.

🎥 Watch the full step-by-step video:

The goal is not to make different studies agree. It is to understand what the overall evidence can—and cannot—support.

How do you synthesize multiple research papers when the studies do ...

23/08/2026

How do you turn a Theory of Change into a practical Logframe? Our latest AAYAN World video walks through Logframe development step by step—from defining the results hierarchy to developing indicators, identifying means of verification and testing assumptions.

Rather than treating the Logframe as a donor template, the video shows how it can become a practical tool for planning, monitoring, learning and programme management.

🎥 Watch the full video here:

How do you develop a Logframe step by step, and how does it connect...

21/08/2026

How can Gemini actually be used for research?

Our latest step-by-step video explores Gemini Deep Research and Gemini Notebook, from developing the research question and reviewing the research plan to selecting sources, analysing evidence and verifying findings.

The key is not simply asking AI for an answer. It is knowing where AI can support the research process and where researcher judgement must remain in control.

Watch the full video:

How can researchers actually use Google Gemini for serious research...

19/08/2026

How do you know how many respondents you need for a research study?

Our latest AAYAN Research Methods video explains sample size calculation step by step, covering confidence level, margin of error, population size and the key assumptions behind the calculation, with a practical example.

We also explain why the commonly quoted sample size of 385 is not a universal answer and why the right sample size depends on your study.

A practical guide for students, researchers, MEL professionals and anyone working with surveys or quantitative research.

▶️ Watch the full video:

How do you calculate the right sample size for a research study? In...

18/08/2026

ChatGPT vs Claude vs Gemini vs Perplexity — which one is better for deep research?

AI tools are moving well beyond basic chat. They can now search, analyse sources, synthesise evidence and support increasingly complex research tasks.

But their capabilities are not identical.
Our latest AAYAN Knowledge Hub video compares four leading AI platforms for Deep Research and explores where each one performs differently.
🎥 Best AI for Deep Research: ChatGPT vs Claude vs Gemini vs Perplexity

Watch the comparison and tell us: Which AI tool do you trust most for serious research?

Which AI is best for deep research: ChatGPT, Claude, Gemini or Perp...

16/08/2026

Can AI actually do research? AI research agents can now search, analyse, synthesise evidence and carry out multi-step research tasks.

But can we trust what they produce?

Our latest AAYAN Knowledge Hub video explores what AI agents for research can do, where they can fail, and why human judgement still matters.

🎥 Watch now and tell us: Which research task would you trust an AI agent to perform?

Can AI agents actually do a researcher’s work?AI agents for resea...

15/08/2026

Top 5 AI Agents for Research 2026 | Only Confirmed Native Agents Verified

In this video: 5 confirmed autonomous AI agents that DO research for you - not tools that just answer.

1. Elicit Agent - Searches 138M papers, screens 40K, builds literature matrix | Best for: Quantitative
2. Consensus Agent - 220M peer-reviewed, evidence synthesis + research gaps | Best for: Theory of Change / Logframe
3. SciSpace Deep Research Agent - Reads 700 papers, writes cited report in 5 mins | Best for: Qualitative & M&E Reports
4. Perplexity Deep Research Agent - Real-time cited answers, autonomous multi-step search
5. ResearchRabbit Agent - Personalized discovery, learns your research habits, visual maps

What is NOT an Agent: ChatGPT, Google Scholar, Mendeley - they answer, they don't act autonomously.



ayansolutions.net | Evidence Systems Impact | Verified 2026