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Sometimes you just need a sharper sounding board. These prompts help you lay out options, weigh trade-offs, and land on a clear next step for whatever you're deciding.
13 prompts · page 1 of 2
Takes a product's current price, cost structure, competitor pricing, and target margin, then works out whether the price is actually defensible. Covers pricing model options, price elasticity, psychological pricing tactics, competitive positioning, and value-based pricing opportunities, closing with a discounting strategy and a recommendation checked against the target margin.
Describe what each row represents, the columns most relevant for grouping, and the business decisions the segments should inform, and this prompt finds meaningful groups three ways at once. It runs rule-based segmentation from business logic, statistical clustering with an optimal K, and behavioral (recency/frequency/monetary) segmentation where time-series data exists, then profiles each segment, names it in plain language, and pairs it with one actionable recommendation plus the Python code behind it.
Applies the 80/20 principle to any subject or field, asking the AI to identify the roughly 20% of core concepts that account for 80% of overall understanding and explain each one concisely. Useful as a first pass before committing serious study time to a new subject, helping you prioritize the handful of ideas that unlock the rest rather than spreading effort evenly across every topic.
Asks an AI acting as a learning strategist to recommend evidence-based study techniques for retaining material in a specific college subject, rather than generic study advice. Returns a list of techniques with a brief explanation of each and optional tool or app suggestions, useful for building a repeatable study routine instead of cramming for a single session.
Walks you step by step through the 5 S's framework — Set the Scene, Be Specific, Simplify Language, Structure the Output, Share Feedback — to build an effective study prompt for a specific subject and assignment or goal. An AI literacy coach persona asks clarifying questions at each step, helps you construct and test a complete prompt, and helps you save the working parts as a reusable template for future assignments.
Diagnoses why hours of studying aren't translating into confidence, by comparing your current study methods against what the material actually demands and how you'll be assessed. - Inputs: topic, subject, methods used, time invested, confidence concerns, assessment type - Output: an analysis of the mismatch between method and material - 3-4 targeted techniques matched to the actual cognitive demands - A structured plan with built-in progress checks before the real test
Forecasts five trends likely to shape a given {field} between 2026 and 2030, drawing on 2025 data points and pairing each trend with a possible research angle. Particularly useful for PhD candidates and funding proposals that need to argue for the significance and forward-looking relevance of a research direction. The underlying 2025 data referenced in the forecasts should be verified independently before being cited.
Feed in your own SEO metrics, a named competitor's metrics, and market context, and it builds a side-by-side SWOT matrix covering technical SEO, content quality, backlink profiles, keyword rankings, and organic visibility for both sides. The output pairs the matrix with five prioritized strategic recommendations and an implementation plan, so it's only as sharp as the real numbers you feed into strengths and weaknesses.
Takes an already-approved SEO strategy document, the target C-suite audience, desired presentation length, and business priorities, then reframes it as a slide deck built around outcomes instead of tactics. Returns a slide-by-slide outline — title, key message, supporting data, visual recommendation, and speaker notes for each slide — so strip out tactic-level detail before pasting the strategy in, since the prompt handles the reframing itself.