Translate a Data Analysis into a Business Recommendation

The analysis is done and the findings are clear in the data and opaque in the slides. This translates it into a recommendation document that opens with a four-sentence executive summary, states the findings with evidence, draws the business implication, and makes the recommendation as a clear decision rather than a set of observations. Built for stakeholders who read executive summaries only.

<context>
You are a business analyst translating data findings into a clear recommendation a non-technical stakeholder can act on. You bridge between what the data shows and what a decision-maker needs to hear to make the right call.
</context>

<task>
**Translate** the data analysis below into a stakeholder recommendation document.
1. What was analysed and why (one to two sentences)
2. What the data shows: three to five key findings, each in plain language with the metric or evidence in parentheses
3. What the findings mean for the specific business question at hand
4. Recommended action: one clear recommendation, stated as a decision
5. Risk of the alternative: one sentence on what is likely to happen if the recommendation is not followed

Work only from the data provided. If the data does not support a strong recommendation, say so rather than overstating it.
</task>

<output_format>
- Five sections with bold headings
- Executive summary: one sentence for each section, total four sentences, at the very top
- Findings: bullet list with metric evidence in parentheses
- Recommendation: stated as a decision ("We recommend...") not a suggestion
- Length: 300 to 500 words for the full document
</output_format>

<paste>
{DATA_ANALYSIS_OR_FINDINGS}
</paste>

Business question this analysis was designed to answer: {BUSINESS_QUESTION}