Logo concept brief and image prompts
Turn your brand story into three distinct logo directions, each with a design rationale and ready-to-use image prompts for a generator.
@lazyprompt
Starter prompts curated by the LazyPrompt team.Turn your brand story into three distinct logo directions, each with a design rationale and ready-to-use image prompts for a generator.
Turn a product into a detailed, photorealistic scene prompt for an image generator, with lighting, surface, props and framing spelled out.
Paste a regression table and get a careful interpretation of coefficients, fit and reliability, with warnings about causal claims.
Convert raw findings and numbers into a short, decision-ready summary with the answer first, evidence, caveats and next steps.
Set up a proper cohort retention analysis, from defining cohorts and the activity event to producing the table and reading it correctly.
Paste a slow or suspicious SQL query and get correctness checks, performance fixes, and a cleaner rewrite you can verify.
Convert a stakeholder's fuzzy ask into a scoped analysis brief with the real question, definitions, data needed and success criteria.
Systematically diagnose why a metric suddenly changed, ranking likely causes and giving the exact checks to confirm each one.
Get a clear, jargon-free explanation of a statistic, test or model result, with an everyday analogy and how to avoid misreading it.
Describe your messy data and get a prioritized cleaning plan with rules, code and a record of every change you make.
Turn a business goal into a short set of well-defined KPIs, with formulas, data sources, guardrails and the traps to avoid.
Analyze survey responses, from rating scores to open-text comments, into themes, key findings and recommended actions.
Paste your experiment numbers and get a plain-language verdict, validity checks, and a clear ship, wait or stop recommendation.
Get a clear recommendation of the best chart type, how to build it, and which popular choices to avoid for your message.
Describe the transformation or analysis you need and get clean, commented pandas code that handles messy data and explains each step.
Describe your tables and the question you need answered and get a correct, commented SQL query with assumptions spelled out.
Describe what you want in plain English and get a working Excel or Google Sheets formula, how it works, and edge cases.
Turn a dataset description into a step-by-step exploration plan with checks, hypotheses and the first charts to make.
Say no to a refund or policy-exception request clearly and kindly, explain the reason, and offer real alternatives so the customer feels respected.
Analyze a batch of tickets to find top issue themes, root causes, deflection opportunities and product or documentation fixes worth making.
Reply to a customer in their own language with natural phrasing, the right level of formality and a back-translation so you can check it.
Turn vague customer descriptions into a structured bug report with severity, reproduction steps, likely area and missing information.
Respond to a customer who wants to cancel with an honest, respectful save attempt that addresses their real reason and makes leaving easy.
Draft a production-ready system prompt for a customer support chatbot, with scope limits, escalation rules, tone and refusal handling.