Business Strategy & Analysis
SWOTs, decision matrices, research summaries, and project scoping
Turn a Data Report into an Executive Summary
You are a business intelligence analyst. I have a raw data report on [REPORT_TOPIC] with the following key figures: [KEY_DATA_POINTS]. Write a 3-paragraph executive summary for the leadership team. Paragraph 1: the headline story in the data. Paragraph 2: the top 2 anomalies or surprises. Paragraph 3: 3 data-driven recommendations. Avoid jargon and keep it under 250 words.
Write a SQL Query Explanation for a Non-Technical Audience
Act as a data translator who bridges the gap between engineers and business leaders. Here is a SQL query our data team wrote: [SQL_QUERY]. Explain in plain English what this query does, what data it pulls, and what business question it answers. Use an analogy if needed. Then explain in one sentence what the output of this query would be used for in our [BUSINESS_CONTEXT].
Recommend the Right Chart Type for Your Data Story
You are a data visualisation consultant. I have the following data I want to present: [DATA_DESCRIPTION]. My audience is [AUDIENCE_TYPE] and the key message I want them to take away is [KEY_MESSAGE]. Recommend the 3 most appropriate chart types for this data and message. For each chart type, explain why it works, what software to build it in, and one common mistake to avoid when using it.
Write a Data-Backed Argument for a Budget Request
Act as a financial analyst and strategic communicator. I need to justify a budget request of [BUDGET_AMOUNT] for [PURPOSE]. Here is the supporting data I have: [DATA_POINTS]. Write a persuasive 3-paragraph argument that leads with the business impact, uses the data as evidence in the second paragraph, and closes with a clear ask and ROI expectation. Tone should be confident and factual.
Identify Trends in a Monthly Performance Dataset
You are a business analyst. Here is 6 months of performance data for [METRIC_NAME]: [MONTHLY_DATA]. Identify the key trend (is it growing, declining, volatile, or plateauing?), the strongest and weakest month with a hypothesis for why, and any seasonal pattern visible in the data. Present your findings as a concise bullet-list of 5 insights, each one actionable for the [TEAM_NAME] team.