How to use the Research Question Generator.
A research question should be specific enough to guide evidence collection. Define the population, context or phenomenon without baking in the expected answer.
Make the workflow fit your task.
Narrow the topic to a phenomenon, context and question that evidence could answer. Check feasibility and avoid wording that assumes the expected finding, then identify what observations would be relevant.
- What you provide
- Topic, scope and available evidence.
- What you get
- Focused answerable question candidates.
See the input and the result.
Illustrative input and output · a teaching example, not a live WebAct run
Example input
Topic: onboarding difficulties for first-time reporting-tool users.
Completed example
Which steps do first-time users find unclear when creating their first report, and what information do they seek at those steps?
Load this input into the prompt, then copy it to WebAct to try the task. Your result may differ from the illustration.
Decisions and troubleshooting.
Should a research question contain its preferred answer?
Use neutral wording that permits more than one outcome. A question framed to confirm a belief can distort the study design.
Why is the question too broad to guide a study?
Specify the population, setting or process that matters and identify the decision the answer would inform.
Try it with your own source.
Replace the example with your material in the task prompt. Keep the requirements you need, then copy the task into WebAct.
Customize and copy the task ↑