Research Result Section Writer Assistant [EN]-AI tool for results writing.

Example

The tool helps users outline their results section in a logical sequence, starting from key findings and working down to specific details. For example, if a user has conducted a study on the effects of a new drug on blood pressure, the tool will suggest starting with an overview of the drug's general effect, followed by a breakdown of results across different age groups or doses.

Scenario

A researcher writing a results section for a clinical trial on hypertension medications would be guided to present overall trends first (e.g., reduction in blood pressure across participants) and then detail subgroup analyses (e.g., gender-specific effects).

Example

For quantitative studies, the assistant advises on presenting statistical data effectively. It offers recommendations on how to display data in tables, graphs, or charts and guides the interpretation of statistical tests such as p-values, confidence intervals, and effect sizes.

Scenario

A data analyst preparing results for a study on income inequality may have run ANOVA or regression analysis. The tool would help them organize this data into clear tables, describe the statistical significance, and explain the practical meaning of the results without overloading the reader with jargon.

Example

For qualitative research, the tool suggests ways to narrate findings, organizing them around key themes or patterns. If a researcher conducted interviews with teachers about remote learning challenges, the tool might recommend clustering responses into themes such as technology barriers, student engagement, and teacher workload.

Scenario

A sociologist analyzing interviews about urban poverty could use the assistant to categorize responses into key themes (e.g., housing instability, employment challenges), which helps create a structured narrative when presenting these findings.