Skilvy

Good research starts with good questions

Before searching for answers, you must understand what the topic is about and what exactly you want to learn. AI is an ideal helper for this "scouting": it quickly breaks a topic into parts, suggests terms and helps narrow a vague interest into concrete questions.

AI helps quickly break down a topic and formulate precise questions.

Break the topic into parts

I want to research the topic "remote work", but it is huge. Help me break it into concrete directions.

"Remote work" is indeed broad. Let us split it into directions: 1) Productivity — does it rise or fall remotely. 2) Psychology — isolation, burnout, balance. 3) Economics — savings for companies and workers. 4) Organization — tools, managing teams. 5) Trends — what comes next. Pick 1-2 directions for your works scope, or you will drown. Which is closer?

From topic to a research question

A topic is an area, a question is what you seek an answer to. "Remote work" is a topic; "How does remote work affect the productivity of IT specialists?" is a research question. A clear question sets the direction for the whole study. Ask AI to help formulate and sharpen it.

Build a topic glossary

Each area has its terms and concepts. Ask AI for the key terms and their meanings — that way you understand sources and know what to look for. "Explain the main concepts of topic X in simple words" is a great start.

Outline where to look

Ask AI which types of sources are reliable for your topic: scientific papers, official statistics, industry reports, expert books. But verify specific links from AI — it may invent nonexistent ones. A list of source types is safer than a list of "ready links".

Spend time framing the question. A precise question saves hours: you search for something specific, not "everything about the topic".

🧠 How does a research question differ from a topic?

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