AI Prompts for Analytics:
Data-Driven Decisions

Perform a complete SWOT analysis for [COMPANY] in the [INDUSTRY] sector. For each quadrant, give 5 points with concrete explanations. End with 3 strategic recommendations prioritized by impact and feasibility.

Conduct a market research for [PRODUCT/SERVICE] in [COUNTRY]. Include: market size, 2026 trends, top 5 competitors (with positioning), ideal customer persona, recommended acquisition channels, pricing benchmark.

Create a competitive analysis comparing [COMPANY] with [COMPETITOR 1], [COMPETITOR 2], [COMPETITOR 3]. Compare: pricing, features, target audience, marketing strategy, strengths, weaknesses. Output as a comparison table.

Generate a 12-month financial forecast for [BUSINESS]. Assumptions: [MONTHLY_REVENUE], [GROWTH_RATE], [MAIN_COSTS]. Include: revenue projection, expense breakdown, net profit, cash flow, break-even point.

Create a detailed customer persona for [PRODUCT]. Include: demographics, job title, goals, frustrations, buying triggers, objections, information sources, preferred channels, decision process, budget range.

Design a KPI dashboard for a [BUSINESS_TYPE]. Define: 8-10 key metrics to track, how to calculate each one, target values, data sources, update frequency. Group by: growth, engagement, revenue, efficiency.