Use it when you want to begin insight communication work without writing the first draft from scratch.
Findings to Executive Summary AI Prompt
Turn my data findings into a clear executive summary that a non-technical leader can understand and act on. My findings: {{findings}} Audience: {{audience}} (e.g. VP of Sales, C... Copy this prompt template, run it in your AI tool, and use related prompts to continue the workflow.
Turn my data findings into a clear executive summary that a non-technical leader can understand and act on.
My findings: {{findings}}
Audience: {{audience}} (e.g. VP of Sales, CFO, Operations Director)
Decision needed: {{decision_needed}}
1. Lead with the so-what — not the analysis:
- The first sentence must state the business implication, not the data finding
- Wrong: 'Revenue declined 14% in Q3 compared to Q2'
- Right: 'We are at risk of missing the annual target by $2.3M if Q4 revenue does not recover — here is what drove Q3's decline'
2. Use the SCR structure (Situation, Complication, Resolution):
- Situation (1–2 sentences): what is the context? What were we expecting or hoping for?
- Complication (2–3 sentences): what did the data reveal that is different from expectations? Include the key numbers.
- Resolution (2–3 sentences): what does this mean for the decision at hand? What do you recommend?
3. Make every number meaningful:
- Every statistic must have context: '14% decline' should be '14% decline — the largest quarter-over-quarter drop in 3 years'
- Translate percentages to absolute impact where possible: '14% decline = $1.8M less than the same period last year'
- Replace 'significant' with the actual number
4. One clear ask:
- End with a single, specific request: a decision, an action, or a resource
- Do not list 5 options — give one recommendation with a brief rationale
5. Length and format:
- Maximum 200 words for the summary
- One supporting table or chart description if needed
- No bullet lists of raw statistics — write in paragraphs
Write the executive summary now, following these principles.When to use this prompt
Use it when you want a more consistent structure for AI output across projects or datasets.
Use it when you want prompt-driven work to turn into a reusable notebook or repeatable workflow later.
Use it when you want a clear next step into adjacent prompts in Insight Communication or the wider Citizen Data Scientist library.
What the AI should return
The AI should return a structured result that covers the main requested outputs, such as Lead with the so-what — not the analysis:, The first sentence must state the business implication, not the data finding, Wrong: 'Revenue declined 14% in Q3 compared to Q2'. The final answer should stay clear, actionable, and easy to review inside a insight communication workflow for citizen data scientist work.
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 Insight Communication.
Frequently asked questions
What does the Findings to Executive Summary prompt do?+
It gives you a structured insight communication starting point for citizen data scientist work and helps you move faster without starting from a blank page.
Who is this prompt for?+
It is designed for citizen data scientist 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?+
Findings to Executive Summary 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 Chart Caption Writer, Data Story Builder, Handling Stakeholder Pushback.