Top AI Prompts for Literature Review with ClickUp Brain

Identify 5 emerging research themes from the ‘Climate Change Adaptation’ article collection.

Use Case: Quickly uncover major topics to guide your review focus.

ClickUp Brain Behaviour: Analyzes linked documents to extract and summarize prevalent themes.

What are the recent methodological trends in qualitative social science studies since 2020?

Use Case: Supports evidence-based selection of research methods.

ClickUp Brain Behaviour: Synthesizes insights from internal literature databases; Brain Max can incorporate relevant external publications.

Generate a concise summary of findings from the ‘Renewable Energy Policy’ papers, referencing key data points and conclusions.

Use Case: Aligns team understanding with clear, structured overviews.

ClickUp Brain Behaviour: Extracts critical information from linked files to create formatted summaries.

Summarize comparative results between two meta-analyses on urban air quality interventions.

Use Case: Facilitates side-by-side evaluation without manual review.

ClickUp Brain Behaviour: Pulls data and conclusions from documents to produce a clear comparison.

List predominant data sources used in recent epidemiological studies on infectious diseases.

Use Case: Helps identify reliable datasets for further analysis.

ClickUp Brain Behaviour: Scans internal research notes and references to compile a comprehensive list.

From the ‘Systematic Review Protocol’ document, generate a PRISMA checklist for study inclusion criteria.

Use Case: Streamlines protocol adherence and documentation.

ClickUp Brain Behaviour: Detects criteria and formats them into an actionable checklist within a task or document.

Summarize 3 underexplored areas in climate resilience literature based on recent review articles.

Use Case: Guides future research priorities with evidence-backed insights.

ClickUp Brain Behaviour: Extracts patterns and highlights from linked documents to identify gaps.

From the ‘Graduate Student Survey 2023’ document, summarize preferences for digital research tools.

Use Case: Helps tailor literature review platforms to user needs.

ClickUp Brain Behaviour: Analyzes survey data to identify common themes and user feedback.

Write a clear and compelling abstract for a systematic review on mental health interventions, using the style guide in ‘WritingTone.pdf’.

Use Case: Accelerates manuscript preparation with consistent voice.

ClickUp Brain Behaviour: References tone guidelines to suggest polished abstract drafts.

Summarize recent changes in ethical guidelines for human subject research and their implications for review protocols.

Use Case: Ensures literature reviews meet current regulatory standards.

ClickUp Brain Behaviour: Synthesizes linked compliance documents; Brain Max can update with public guidelines if available.

Generate citation formatting rules for APA 7th edition based on the ‘CitationManual.pdf’.

Use Case: Guarantees consistent referencing throughout the review.

ClickUp Brain Behaviour: Extracts formatting standards and compiles them into a quick-reference checklist.

Create an ethical considerations checklist for studies involving vulnerable populations, referencing institutional policies.

Use Case: Supports thorough ethical review and approval processes.

ClickUp Brain Behaviour: Identifies policy points and structures them into a task checklist.

Compare data extraction techniques used in Cochrane reviews versus PRISMA guidelines.

Use Case: Informs best practices for systematic data collection.

ClickUp Brain Behaviour: Summarizes documented methods into a clear comparative format.

What new analytical tools have been adopted in meta-analyses since 2022?

Use Case: Keeps research teams updated on innovative methodologies.

ClickUp Brain Behaviour: Synthesizes trends from recent publications and internal notes.

Summarize key challenges reported in literature reviews conducted in Southeast Asia, focusing on data availability and language barriers.

Use Case: Drives region-specific improvements in review strategies.

ClickUp Brain Behaviour: Extracts and prioritizes issues from survey responses, feedback notes, and tagged comments.

Specify the exact topic and scope

Vague prompts yield broad, unfocused results. Include details like subject area (e.g., “renewable energy policies”), timeframe (e.g., “studies from the last decade”), or methodology (e.g., “qualitative analyses”).

Example: “Summarize recent qualitative studies on community solar adoption in urban areas.”

Ask AI to contrast different theories or findings

AI excels at drawing distinctions. Frame prompts to compare approaches, highlight conflicting results, or evaluate methodologies.

Example: “Compare the effectiveness of cognitive-behavioral therapy versus mindfulness in treating anxiety.”

Focus on what you want to achieve

Instead of generic requests, define the goal of the review section:

Example: “Identify gaps in literature regarding remote work productivity during the pandemic.”

Request structured summaries or annotated bibliographies

Clarify if you want bullet points, thematic overviews, or citation lists. This guides AI to produce usable content.

Example: “Provide a bullet list of key findings from studies on urban air pollution effects on respiratory health.”