A shared folder with AI prompts and code snippets
From workspace: OpenAI
Team: ChatGPT
Total snippets: 9
9 snippets
Diagnoses why customers might churn from a product or service, based on behavior patterns, feedback, or support issues.
Based on the following customer data, identify churn risks and causes: [INSERT FEEDBACK / METRICS / TRENDS] Include: – Common friction points – Sentiment triggers – Missed expectations – Preventative recommendations
Identifies untapped opportunities or unmet customer needs in a given market or vertical based on trends and competition.
Conduct a gap analysis for the [INSERT INDUSTRY] market. Cover: – What competitors offer – What users still lack – Emerging needs/trends – Opportunities for differentiation Final Output: Write 3–4 paragraphs with actionable insights.
Evaluates which features contribute most to product success, based on usage data, user feedback, or business value.
Analyze which product features deliver the most impact for [INSERT PRODUCT]. Use the following input: [PASTE USAGE DATA or CUSTOMER FEEDBACK] Provide: – Top 3 high-impact features (and why) – Low-performing or unused features – Strategic...
Analyzes customer behavior patterns using provided data or user descriptions — useful for UX, product design, or marketing strategy.
Analyze the behavior of the following customer segment: [INSERT BEHAVIOR DATA or USER DESCRIPTION] Cover: – Key motivations – Drop-off points / friction – Usage patterns – Retention or churn risks – Suggested action steps
Produces a clear SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis for any company, idea, or strategy.
Write a SWOT analysis for [INSERT COMPANY / PRODUCT / STRATEGY]. Each section should have 3–4 concise points: – Strengths – Weaknesses – Opportunities – Threats Keep it direct and insight-driven — no fluff.
Generates a structured analysis comparing your product or service to a direct competitor — including pricing, features, positioning, and market perception.
Generate a competitor analysis comparing [YOUR PRODUCT] vs [COMPETITOR NAME]. Include: – Feature comparison – Pricing & positioning – Strengths & weaknesses – Market perception – Final summary with recommendation Tone: Concise,...
Gives a fast, logic-based outcome prediction for any competitive game using minimal input data and stepwise analysis.
Based on the following context, predict the outcome of the game: [INSERT BRIEF CONTEXT — TEAMS, RULES, METRICS] Instructions: – Point out 2–3 key factors influencing outcome – Use plain logic to justify your pick – Keep it short: Max 5...
Analyzes available game data to predict the winner of the '0k win' game using logical steps and clear reasoning.
Predict the winner of the '0k win' game using the data provided. Steps: 1. Review available stats, rules, or history. 2. Identify key variables influencing the game outcome. 3. Walk through reasoning step-by-step. 4. End with your final...
Predicts the result of a football match using team statistics, recent form, and contextual data. Designed for betting previews, sports coverage, or fan predictions.
Predict the outcome of the upcoming football match: Match: [TEAM A] vs [TEAM B] Include: – Team form over last 5 matches – Strengths and weaknesses – Home/away advantage – Player injuries or key absences – Final prediction: WIN / DRAW /...