Use when analysis must be translated for a non-technical or skeptical audience.
Insight Communication AI Prompt
This prompt helps translate analysis into communication that stakeholders can understand and act on. It is useful when the quality of the message matters as much as the quality of the analysis, especially with senior leaders or non-technical teams. The focus is on clarity, relevance, objection handling, and moving the conversation toward a decision. It helps frame an analytical insight as a short, persuasive business message for action.
Write a clear, compelling communication of this data insight for a non-technical business audience.
Insight: {{insight_description}}
Audience: {{audience}} (e.g. Sales Director, CFO, Marketing team)
1. Lead with the so-what, not the analysis:
- First sentence: what should the audience know or do?
- Do not start with 'The data shows...'
2. Support with evidence:
- 2–3 specific numbers that prove the point
- One comparison that provides context (vs last period, vs target, vs benchmark)
3. Explain the implication:
- What does this mean for the business?
- What is the risk of ignoring this?
4. Recommend an action:
- Specific, feasible, and owned by someone in the audience
- Include a suggested timeline
5. Anticipate the first objection and address it proactively
Format: max 150 words. No bullet points — write in 3 short paragraphs.
Return: the communication text and a one-sentence 'subject line' suitable for a Slack message or email.When to use this prompt
Use before a presentation, leadership meeting, or difficult performance conversation.
Use when the same insight needs to be framed differently for different stakeholders.
Use when you need a message that leads to action rather than passive awareness.
What the AI should return
The AI should return stakeholder-ready communication in plain language, tailored to the audience and purpose. It should lead with the key message, support it with a few specific facts, and end with a concrete action, ask, or discussion point. The response should sound natural enough to use directly in a slide, email, meeting, or Slack post.
How to use this prompt
Open your data context
Load your dataset, notebook, or working environment so the AI can operate on the actual project context.
Copy the prompt text
Use the copy button above and paste the prompt into the AI assistant or prompt input area.
Review the output critically
Check whether the result matches your data, assumptions, and desired format before moving on.
Chain into the next prompt
Once you have the first result, continue deeper with related prompts in Stakeholder Communication.
Frequently asked questions
What does the Insight Communication prompt do?+
It gives you a structured stakeholder communication starting point for business analyst work and helps you move faster without starting from a blank page.
Who is this prompt for?+
It is designed for business analyst workflows and marked as beginner, so it works well as a guided starting point for that level of experience.
What type of prompt is this?+
Insight Communication is a single prompt. You can copy it as-is, adapt it, or use it as one step inside a larger workflow.
Can I use this outside MLJAR Studio?+
Yes. The prompt text works in other AI tools too, but MLJAR Studio is the best fit when you want local execution, visible Python code, and reusable notebooks.
What should I open next?+
Natural next steps from here are Data Literacy Translation, Difficult Data Conversation, Objection Handling Prep.