Top AI Prompts for Stakeholder Mapping

Identify 5 primary stakeholder groups for the ‘Project Phoenix’ initiative based on the linked stakeholder registry.

Use Case: Accelerates stakeholder classification using existing project data.

ClickUp Brain Behaviour: Analyzes linked documents to extract and categorize stakeholder types relevant to the project.

What emerging influencers are shaping opinions in the renewable energy sector within our stakeholder database?

Use Case: Helps focus engagement efforts on rising key players.

ClickUp Brain Behaviour: Synthesizes insights from internal profiles and external data to highlight influential stakeholders.

Create a detailed engagement strategy for community stakeholders referencing notes from the ‘Community Outreach’ folder.

Use Case: Aligns teams on outreach objectives and communication tactics.

ClickUp Brain Behaviour: Extracts relevant information from linked docs to formulate a structured engagement plan.

Summarize influence and interest levels of stakeholders in the ‘Urban Development’ project using the ‘Stakeholder Analysis Q3’ doc.

Use Case: Supports prioritization without manual data synthesis.

ClickUp Brain Behaviour: Pulls data from tables and narratives to provide a concise influence-interest matrix summary.

List preferred communication channels for top-tier stakeholders based on CRM notes and past interaction logs.

Use Case: Tailors outreach methods to stakeholder preferences.

ClickUp Brain Behaviour: Scans records to compile communication habits and channel effectiveness.

From the ‘Stakeholder Risk Assessment’ doc, produce a checklist highlighting potential engagement risks.

Use Case: Streamlines risk identification and mitigation planning.

ClickUp Brain Behaviour: Detects risk factors and formats them into an actionable checklist within tasks or documents.

Summarize 3 recurring concerns from recent stakeholder feedback collected in Q1 2024.

Use Case: Ensures project teams address key issues proactively.

ClickUp Brain Behaviour: Extracts and prioritizes common themes from feedback and survey documents.

From the ‘Annual Feedback Report’ doc, summarize overall sentiment trends among government stakeholders.

Use Case: Guides tone and approach for future communications.

ClickUp Brain Behaviour: Reviews textual data to identify prevailing attitudes and sentiment shifts.

Write concise and engaging messaging for the stakeholder newsletter using the tone guidelines in ‘BrandVoice.pdf’.

Use Case: Accelerates content creation while maintaining brand voice.

ClickUp Brain Behaviour: References style guides to suggest tailored copy variations for communications.

Outline key regulatory changes affecting stakeholder engagement from the ‘Compliance Update 2025’ doc.

Use Case: Keeps teams informed on compliance requirements.

ClickUp Brain Behaviour: Condenses linked compliance documents into actionable summaries.

Generate guidelines for stakeholder engagement specific to Southeast Asia markets using internal policy docs.

Use Case: Ensures culturally appropriate and effective communication.

ClickUp Brain Behaviour: Extracts regional rules and best practices into a clear checklist.

From the ‘Upcoming Stakeholder Meeting’ folder, draft an agenda highlighting priority discussion points.

Use Case: Streamlines meeting preparation and focus.

ClickUp Brain Behaviour: Identifies key topics and formats them into a structured agenda document.

Compare engagement success metrics across recent projects using data from the ‘Engagement Reports’ folder.

Use Case: Supports continuous improvement through data-driven insights.

ClickUp Brain Behaviour: Summarizes and contrasts key performance indicators in an easy-to-read format.

What evolving expectations have been noted among investors since 2023?

Use Case: Helps tailor strategies to meet changing stakeholder priorities.

ClickUp Brain Behaviour: Synthesizes trends from feedback, reports, and market analysis documents.

Summarize key gaps in stakeholder feedback from the Latin America engagement folder (communication, responsiveness, concerns).

Use Case: Drives targeted improvements in regional engagement.

ClickUp Brain Behaviour: Extracts and ranks issues from surveys, notes, and tagged feedback tickets.

Specify the project and stakeholder types

Broad prompts yield vague results. Include details like project scope (e.g., “new product launch” or “regulatory compliance”), stakeholder categories (e.g., “internal executives” or “external partners”), or communication goals (e.g., “align expectations” or “gather feedback”).

Example: “Identify key internal and external stakeholders for a SaaS platform rollout targeting enterprise clients.”

Contrast stakeholder influence and interest

AI excels at distinguishing nuances between groups. Use prompts like “compare influence vs interest” to rank stakeholders, analyze engagement levels, or assess potential impact.

Example: “Compare the influence of marketing vs product teams on the upcoming feature release.”

Focus on stakeholder needs and roles

Treat your prompt as a request to map responsibilities or concerns. Instead of “List stakeholders,” be outcome-focused:

Example: “Map stakeholders responsible for compliance and their key concerns in the new data privacy policy.”

Specify formats like tables, charts, or bullet points

Want a RACI matrix, stakeholder influence map, or engagement checklist? Define it explicitly. AI delivers better when the output style is clear.

Example: “Provide a table listing stakeholders, their roles, influence level, and preferred communication channels.”